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|| physicsworld.com/c/materials | https://www.reddit.com/r/nanotech/ | sciencedaily | phys.org/nanotech-news | news-medical.net/?tag=/Nanotechnology | bioethics.com/nanotechnology | nanotechia.org/news | nanooze.org/articles/blog | nanosensors | genesisnanotech | nanodaily | mrnano | futurenanoneeds | wahmednano | ferniglab | nano-blog.com | futuretimeline | nanowerk | sustainable-nano | foresight | electronicsforu | opensourceforu ||
|| Two Minute Papers | space.com | futuretimeline | planetary | nature | nasa.gov | isro.gov.in | spacechina | blueorigin | russianspaceweb | scitechdaily | aerospaceengineeringblog | astronomycast | strudel.org.uk | nineplanets | thespacewriter | dailygalaxy | universetoday | marsblog | skymania | nasawatch | orbitalhub | spacefellowship | scienceblogs | discovermagazine | astroengine | leroychiao.blogspot | willgater.com | GM=TC^3 | oklo | visualastronomy | perezmedia | bongo69 | martianchronicles | colonyworlds | thespacereview | centauri-dreams.org | ridingwithrobots | spaceelevatorblog | spacepragmatism | esa.int | skyandtelescope | ouramazingspace/videos | reddit.com/r/space | spacexchannel | spaceflightnow | Google News | Space Industry | spacenews | spacedaily | spaceref | nasaspaceflight | spaceflightinsider | astrobio | spaceflight101 | space.nss.org | lightsinthedark | astroblog.cosmobc | astrobiology | spaceq.ca | go-taikonauts | spaceadventures | leonarddavid | forallmoonkind | thesciencegeek | coloradospacenews | spaceflighthistory | spacefacts | human-spaceflight.blogspot | space.blog.gov.uk | theguardian.com/science/space | metamedianews | zoharesque | phys.org/space-news | newscientist | redorbit | earthsky | tass.com | spaceindustrynews | thegravitywell | spacefordummies | meteorides | spacefrontier ||
|| minutephysics | scishowspace | DeepSkyVideos | Kurzgesagt | periodicvideos | numberphile | PBS Space Time | SpaceRip | worldsciencefestival | tdarnell | EugeneKhutoryansky | fermilab | TheScienceAsylum | TEDEducation | Walter Lewin | SciAmerican | NatureVideo | spacelab | minuteearth | DrPhysicsA | VideosatNSF | beyondsciencetv | ScienceEtonnante | TheRoyalInstitution | Isaac Arthur | ScienceAtNASA | NASAtelevision | canadianspaceagency | VideoFromSpace | NASAKennedy | spacexchannel | Scott Manley | Hubble Space Telescope | space and astronomy | SVAstronomyLectures | PIOutreach | ESOobservatory | Mr Scientific | Cuckoo for Kaku ||
July - 2019
- OpenAI: Why Responsible AI Development Needs Cooperation on Safety
- Multilingual Universal Sentence Encoder for Semantic Retrieval
- Advancing Semi-supervised Learning with Unsupervised Data Augmentation
- Predicting the Generalization Gap in Deep Neural Networks
- intel-baidu-ai-everywhere
- bigdl-cern
- optimizing-tensorflow-data-layer
- Understanding Neural Machine Translation by Simplification: The Case of Encoder-free Models
- OCC: A Smart Reply System for Efficient In-App Communications
- Building SMILY, a Human-Centric, Similar-Image Search Tool for Pathology
- Parrotron: New Research into Improving Verbal Communication for People with Speech Impairments
- Facebook, Carnegie Mellon build first AI that beats pros in 6-player poker
- new fast.ai course: A Code-First Introduction to Natural Language Processing
- Spotting Clouds on the Horizon: AI Resolves Uncertainties in Climate Projections
- NVIDIA Breaks Eight AI Performance Records
- How AI, drones and cameras are keeping our roads and bridges safe
- Visiting lecturer to spearhead project exploring the geopolitics of artificial intelligence
- Teaching artificial intelligence to create visuals with more common sense
- CSAIL hosts first-ever TEDxMIT
- Superconducting neurons could match the power efficiency of the brain
- For Driverless Car Test Tracks, It Helps to Make the Signs Clear
- Motorcycles Are On-The-Road To Becoming Semi-Autonomous And Fully Autonomous
- US Tech Giants Reported Helping to Build the Chinese Surveillance State
- AI in Manufacturing, in Use by Less than 8% Today, Seen Growing to 50% by End of 2021
- Microsoft invests in and partners with OpenAI to support us building beneficial AGI
⭐ - How evolutionary selection can train more capable self-driving cars
⭐ - Learning Better Simulation Methods for Partial Differential Equations
- rl-coach-new-release
- Speaking of AI: Startup Empowers Indian Language Speakers with Deep Learning
- Spotting Clouds on the Horizon: AI Resolves Uncertainties in Climate Projections
- AI on the Edge Evolving Rapidly with Specialized Chips
- AGI Research into Strong AI a Future, While ANI Work in Weak AI is Here Now
- Two Views of AI Competition Between the US and China
- Supply Chain Management Software Suppliers Using AI to Optimize
- Exploiting Transducers To Break Into AI Systems: Security Issues For Autonomous Cars
- AI beats professionals in six-player poker
- Power Is Limiting Machine Learning Deployments
- How Evolutionary Selection Can Train More Capable Self-Driving Cars
- Artificial intelligence: Why a digital base is critical
- McKinsey: Real-world AI
- The real-world potential and limitations of artificial intelligence
- Confronting the risks of artificial intelligence
- Tackling bias in artificial intelligence (and in humans)
- AI In Numbers: Global Funding, Exits, And R&D Trends In Artificial Intelligence
- Best Practices in Machine Learning Infrastructure
- From Crawling to Sprinting: Advances in Natural Language Processing
- Use Event-Driven Model Serving on Algorithmia
- From Jupyter Notebook to Fully Scalable Model—Now a Reality
- Robust Neural Machine Translation
- Google at ACL 2019
- Facebook Research at ACL 2019
- Facebook Research at SIGGRAPH 2019
- tradition-space-exploration-nasafdl
June - 2019
- Deep learning techniques teach neural model to 'play' retrosynthesis
- DeepMind: Capture the Flag: the emergence of complex cooperative agents
- OpenAI Robotics Symposium 2019
- Google at ICML 2019
- Introducing Google Research Football: A Novel Reinforcement Learning Environment
- An Inside Look at Google Earth Timelapse
- Introducing TensorNetwork, an Open Source Library for Efficient Tensor Calculations
- power-of-unintentional-technology-implementations
- Learning to Learn with Probabilistic Task Embeddings
- 1000x Faster Data Augmentation
- Autonomous Vehicles for Social Good: Learning to Solve Congestion
- Algorithm tells robots where nearby humans are headed
- Chip design drastically reduces energy needed to compute with light
- Autonomous Ships of the Future: Run by AI Instead of a Crew
- Use Cases Of Wrong Way Driving and Needed AI Coping Strategies For Autonomous Cars
- Neural ODEs: breakdown of another deep learning breakthrough
- NAACL 2019 Highlights
- Google at CVPR 2019
- Applying AutoML to Transformer Architectures
- Why Chips Are Getting Noisier
- The Case For Embedded FPGAs Strengthens And Widens
- How To Build An Automotive Chip
- 5G Heats Up Base Stations
- Shedding Pounds In Automotive Electronics
- Data Confusion At The Edge
- 142 Resources for Mastering Coding Interviews
- A Hitchhiker’s Guide to Mixture Density Networks
- Machine Learning Top 10 Articles for the Past Month (v.June 2019)
- IT INDUSTRY OUTLOOK 2019
- Full Stack Deep Learning Steps and Tools
- AI in IT infrastructure transforms how work gets done
- The unforeseen trouble AI is now causing
- Adobe trained AI to detect facial manipulation in Photoshop
- IBM builds Pangea III, a powerful commercial supercomputer
- Facebook PyRobot goes open source to speed robotics, AI research
- Off-Policy Classification - A New Reinforcement Learning Model Selection Method
- Facebook Research at CVPR 2019
- How Facebook researchers’ realistic simulations help advance AI and AR
- Computer vision and global challenges: New research and applications
- Facebook Research at ICML 2019
- AI System Hardware/Software Co-Design
- introducing-partnet
- spacenet-and-intel
- parameter-efficient-training-deep-cnns
- intel-ai-research-scientist-honored-for-magnetoelectric-spin-orbit-meso-work
- ocp-hardware-standards-help-ai-advance
- cerl
- Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask
- OpenAI: Choosing Between Global Development of AI, and Fear of Losing Control Over Dangerous Technology
- Government: An Integral Partner for Exploring AI
- Brute Force Algorithms and AI: Use Case of Autonomous Cars
- A Visual Intro to NumPy and Data Representation
- Introducing Deep Learning Containers: Consistent and portable environments
- torchvision 0.3: segmentation, detection models, new datasets and more..
- AT&T hopes quantum networking will amplify the power of quantum computing
- Innovations in Graph Representation Learning
- Q&A with 2019 Innovator Under 35 Noam Brown
- MLPerf Inference launched
- increasing-ai-performance-intel-dlboost
- improving-inference-parallel-batching
- Downloadable: Cheat Sheets for AI, Neural Networks, Machine Learning, Deep Learning & Data Science PDF
⭐ - Predicting Bus Delays with Machine Learning
- Announcing the YouTube-8M Segments Dataset
- Leveraging Idle Moments in Real-Time AI Systems: Use Case of Autonomous Cars
- What Does an AI Ethicist Do? A Chat with Microsoft’s Tim O’Brien
- National-AI-Research-and-Development-Strategic-Plan-2019-Update-June-2019
- Deep Learning from the Foundations
- Making Waves at CVPR: Inception Startups Exhibit GPU-Powered Work in Long Beach
- Drag-and-drop data analytics
- New AI programming language goes beyond deep learning
- 5nm Vs. 3nm
- Data Confusion At The Edge
- Why Chips Are Getting Noisier
- Machine Learning Inferencing Moves To Mobile Devices
- CEO Outlook: Rising Costs, Chiplets, And A Trade War
- EUV, Deep Learning Issues In Mask Making
- Open Source Processors: Fact Or Fiction?
- Hubless Nearest Neighbor Search for Bilingual Lexicon Induction
- ICML Highlight: Contrastive Divergence for Combining Variational Inference and MCMC
May - 2019
- EfficientNet: Improving Accuracy and Efficiency through AutoML and Model Scaling
- Moving Camera, Moving People: A Deep Learning Approach to Depth Prediction
- Introducing Translatotron: An End-to-End Speech-to-Speech Translation Model
- An End-to-End AutoML Solution for Tabular Data at KaggleDays
- Announcing Open Images V5 and the ICCV 2019 Open Images Challenge
- Google at ICLR 2019
- Announcing Google-Landmarks-v2: An Improved Dataset for Landmark Recognition & Retrieval
- Exploring feedback from data and governance experts: A research-based response to the Data Transparency Advisory Group report
- Decrappification, DeOldification, and Super Resolution
- bigdl-model-inference
- softmax-optimizations-intel-xeon-scalable
- optical-neural-networks
- optimized-nlp-baidu-paddlepaddle
- introducing-aspect-based-sentiment-analysis-in-nlp-architect
- Intel Highlighted Why NVIDIA Tensor Core GPUs Are Great for Inference
- AI of the Storm: Deep Learning Analyzes Atmospheric Events on Saturn
- Bringing human-like reasoning to driverless car navigation
- How to tell whether machine-learning systems are robust enough for the real world
- Developing artificial intelligence tools for all
- Parallel Neural Text-to-Speech
- End-to-End Deep Reinforcement Learning without Reward Engineering
- Model-Based Reinforcement Learning from Pixels with Structured Latent Variable Models
- Large-Scale Long-Tailed Recognition in an Open World
- Robots that Learn to Adapt
- What they don’t tell you about scaling AI
- Building a carbon molecule autoencoder
- Keras Hyperparameter Tuning in Google Colab using Hyperas
- Introducing TensorFlow Graphics: Computer Graphics Meets Deep Learning
- To reinvent the processor
- Five Machine Learning Paradoxes that will Change the Way You Think About Data
- 10 New Things I Learnt from fast.ai v3
- Private AI — Federated Learning with PySyft and PyTorch
- Open-sourcing Ax and BoTorch: New AI tools for adaptive experimentation
April - 2019
- Capturing Special Video Moments with Google Photos
- Using Deep Learning to Improve Usability on Mobile Devices
- Open-sourcing PyTorch-BigGraph for faster embeddings of extremely large graphs
- Deepmind: Unsupervised learning: the curious pupil
⭐ - SETI Phone Home: Harnessing AI in Search of Aliens
- Which GPU(s) to Get for Deep Learning: My Experience and Advice for Using GPUs in Deep Learning
- First Uber Science Symposium: Discussing the Next Generation of RL, NLP, ConvAI, and DL
- Berkeley AI: Robots that Learn to Use Improvised Tools
- Genius Shortage Hampers Solving AI Unsolved Problems: The Case of AI Self-Driving Cars
- The next ‘Deep Blue’ moment: Self-flying drone racing
- In the Future, Everyone Might Use Quantum Computers
- Microsoft Is Building an All-In-One DNA Data Storage Device
- How To Build An Automotive Chip
- IBM Introduces ‘Quantum Volume’ to Track Progress Towards the Quantum Age
- In-Memory Computing Challenges Come Into Focus
- OpenAI: How to Train Your OpenAI Five
- Google AI: Take Your Best Selfie Automatically, with Photobooth on Pixel 3
- Intel AI: vnni-enables-inference
- Intel AI: model-zoo-ia
- Intel AI: real-world-ai-at-enterprise-scale
- MorphNet: Towards Faster and Smaller Neural Networks
- cbinsights: What Is Quantum Computing?
- AI has the potential to enrich our lives in so many ways – if we use it properly
- NASA reveals future technology concepts
- Machine Learning in Production: Software Architecture
- Comparing the Functionality of Open Source Natural Language Processing Libraries
- Reflections on the Data Science Platform Market
- Intel Extends FPGA Ecosystem with 10nm Agilex
- Digging into MLPerf Benchmark Suite to Inform AI Infrastructure Decisions
- DARPA, NSF Seek Real-Time ML Processor
- Data: APIs, Hubs, Marketplaces, and Platforms
- A novel data-compression technique for faster computer programs
- DARPA Making An Anonymous And Hack-Proof Mobile Communication System
- OpenAI Five crushes Dota2 world champs, and soon you can lose to it too
- Ten steps to prepare for an exponential future
- The Rise of Generative Adversarial Networks
- AI-Powered Solutions for Industries
- AI Monthly Digest #7 – machine mistakes, and the hard way to profit from non-profit
- how-machine-learning-is-crafting-precision-medicine
- Filling in the missing pieces': How AI is transforming drug discovery, development and innovation
- Artificial Intelligence APAC March 7 · Issue #24
- Introducing spaCy v2.1
- Open Questions about Generative Adversarial Networks
- A Visual Exploration of Gaussian Processes
- Visualizing memorization in RNNs
- AI pioneer: ‘The dangers of abuse are very real’
- The Animal-AI Olympics is going to treat AI like a lab rat
- Smart home, machine learning and discovery
- Human Side of Tesla Autopilot
- Teaching machines to reason about what they see
- Introducing TensorFlow Privacy: Learning with Differential Privacy for Training Data
- A Guide to Learning with Limited Labeled Data
- Dig In: Startup Tills Satellite Data to Harvest Farm AI
- unlocking-dl-performance-with-ngraph
- nauta-sailing-the-seas-of-distributed-dl
- vnni-enables-inference
- real-world-ai-at-enterprise-scale
- FACEBOOKai: Improving scene understanding through panoptic segmentation
- GoogleAI:SpecAugment: A New Data Augmentation Method for Automatic Speech Recognition
- OpenAI: Generative Modeling with Sparse Transformers
- Steepest ascent
- The likelihood-ratio gradient
- Evaluating the Unsupervised Learning of Disentangled Representations
- MuseNet
- Baidu Announced 11 News tools to PaddlePaddle and RMB 100 Million Worth of Free Computing Resources to Support Developers
- DeepFake News-“AI-Synthesized Content”- Latest Challenge for News Content Pipeline and Providers
- The Case For Embedded FPGAs Strengthens And Widens
- Controlling IC Manufacturing Processes For Yield
- Global 5G wireless networks threaten weather forecasts
- Dark-matter detector observes exotic nuclear decay
- Climate protests, opioid fight and harassment in physics
- Brain implants that let you speak your mind
- Junior AI researchers are in demand by universities and industry
- Why the huge growth in AI spells a big opportunity for transdisciplinary researchers
- For better deep neural network vision, just add feedback (loops)
March - 2019
- http://www.montreal.ai/ai4all.pdf - VIP AI 101 CHEATSHEET
- Neural MMO — A Massively Multiagent Game Environment
- Berkeley AI: Assessing Generalization in Deep Reinforcement Learning
- Berkeley AI: Manipulation By Feel
- Berkeley AI: Announcing the BAIR Open Research Commons
- Introducing GPipe, an Open Source Library for Efficiently Training Large-scale Neural Network Models
- A Conversation about Tech Ethics with the New York Times Chief Data Scientist
- Introducing Ludwig, a Code-Free Deep Learning Toolbox
- Baidu Teams up with Academia, awarding Grand Prizes for Breakthroughs in the ICDAR 2019 Competitions
- Measuring Lesion Geometry with AI
- 5G’s Potential, and Why Businesses Should Start Preparing for It
- How Will We Prevent AI-Based Forgery?
- Computing the future
- Solve launches 2019 global challenges
- Addressing the promises and challenges of AI
- TF-Replicator: Distributed Machine Learning for Researchers
- Introducing Activation Atlases
- OpenAI LP
- Exploring Neural Networks with Activation Atlases
- An All-Neural On-Device Speech Recognizer
- RNN-Based Handwriting Recognition in Gboard
- Real-Time AR Self-Expression with Machine Learning
- Introducing Ludwig, a Code-Free Deep Learning Toolbox
- Baidu Team Wins the Suggestion Mining Challenge at SemEval 2019
- 9 Applications of Deep Learning for Computer Vision
- Quantum computing should supercharge this machine-learning technique
- Exploring Neural Networks with Activation Atlases
- Artificial Intelligence APAC March 7 · Issue #24
- Machine learning in quantum spaces
- China may overtake the US with the best AI research in just two years
- Harnessing Organizational Knowledge for Machine Learning
- What Is Quantum Computing?
- Quantum Computing languages landscape
- Skymind raises $11.5M to bring deep learning to more enterprises
- Implicit Generation and Generalization Methods for Energy-Based Models
- Reducing the Need for Labeled Data in Generative Adversarial Networks
- Measuring the Limits of Data Parallel Training for Neural Networks
- A Summary of the Google Flood Forecasting Meets Machine Learning Workshop
- Baidu released knowledge integration language representation model ERNIE which outperforms Google’s BERT in certain Chinese NLP tasks
- Introducing Ludwig, a Code-Free Deep Learning Toolbox
- Researchers Put Machine Learning on Path to Quantum Advantage
- Boeing 737 MAX 8 and Lessons for AI: The Case of AI Self-Driving Cars
- Exercises in amazement: Discovering deep learning
- Kicking neural network design automation into high gear
- Manipulation By Feel
- Assessing Generalization in Deep Reinforcement Learning
- AGI - KorrTecx
- The executive’s AI playbook
- our-insights/an-executives-guide-to-ai
- cv-tricks.com
- How the Economics of Data Science is Creating New Sources of Value
- Receiver Operating Characteristic (ROC) Curves
- Towards Robust and Verified AI: Specification Testing, Robust Training, and Formal Verification
- Unifying Physics and Deep Learning with TossingBot
- Simulated Policy Learning in Video Models
- intel.ai/future-directions-nlp
- Mobile Visions: IBM’s Plans for AI, Cloud Computing, 5G Networks
- Micro-Movements in Driving Behaviors: Crucial for AI Self-Driving Cars
- Twenty-five ways in which MIT has transformed computing
- Model learns how individual amino acids determine protein function
- Research Highlights
- Towards Robust and Verified AI: Specification Testing, Robust Training, and Formal Verification
- The Best of AI: New Articles Published This Month (March 2019)
- Intel Is Building the World’s Most Powerful Supercomputer
Feb - 2019
- Real-time Continuous Transcription with Live Transcribe
- Announcing the Second Workshop and Challenge on Learned Image Compression
- Five Things That Scare Me About AI
- fast.ai Diversity Fellows and Sponsors Wanted
- Hiring and Managing AI Rockstars: The Case of AI Self-Driving Cars
- Framework for Better Deep Learning
- Putting neural networks under the microscope
- Tractica Report: 10 AI Technology Predictions for 2019
- OpenAI: Better Language Models and Their Implications
- Introducing PlaNet: A Deep Planning Network for Reinforcement Learning
- Using Global Localization to Improve Navigation
- A new predictive model for more accurate electrical grid mapping
- Some thoughts on zero-day threats in AI, and OpenAI's GP2
- This is Microsoft’s AI pipeline, from research to reality
- Controlling False Discoveries in Large-Scale Experimentation: Challenges and Solutions
- Learning Preferences by Looking at the World
- how-ai-can-help-solve-some-of-humanitys-greatest-challenges
- Teaching self-driving cars to predict pedestrian movement
- How to Get Better Deep Learning Results (7-Day Mini-Course)
- 3Q: Machine learning and climate modeling
- OpenAI built a text generator so good, it’s considered too dangerous to release
- Research: Automation Affects High-Skill Workers More Often, but Low-Skill Workers More Deeply
- How to Set Up an AI Center of Excellence
- OpenAI: AI Safety Needs Social Scientists
- Learning to Generalize from Sparse and Underspecified Rewards
- On the Path to Cryogenic Control of Quantum Processors
- Yann LeCun on the future of deep learning hardware
- Dairy farming, solar panels, and diagnosing Parkinson's disease: what can you do with deep learning?
- Some thoughts on zero-day threats in AI, and OpenAI's GP2
- fastec2 script: Running and monitoring long-running tasks
- fastec2: AWS computer management for regular folks
- exploring-term-set-expansion-with-nlp-architect/
- ai-ethics-toolkits
- intel-neural-compute-stick-2-for-medical-imaging
- intel-ai-for-healthcare-solutions
- inference-at-scale-in-kubernetes
- Why Virtualization, Analytics and AI Are the Future of Healthcare Data Centers
- For Governments Turning to AI, Five Dimensions to Consider
- Social Scientists Use Transfer Learning to Kick-Start Deep Learning Projects
- MIT Analyzed 16,625 Papers to Figure Out Where AI is Headed Next
- Artificial intelligence to boost Earth system science
- Robots track moving objects with unprecedented precision
- Most people overlook artificial intelligence despite flawless advice
- Exploring the nature of intelligence
- 3Q: Machine learning and climate modeling
- Democratizing data science
- Yann LeCun Cake Analogy 2.0
- Oxford University AI Policy Researcher Says Trump’s AI Initiative Falls Short on Immigration and Ethics Issues
- The Future of Leadership Development
- AI Needs to Become Less Elitist
- China’s CRISPR twins: A time line of news
- How AlphaZero has rewritten the rules of game play on its own
- A philosopher argues that an AI can’t be an artist
- Why China’s electric-car industry is leaving Detroit, Japan, and Germany in the dust
- Explainer: What is quantum communication?
- Reality regained: An inquiry into the data age
- The technology behind OpenAI’s fiction-writing, fake-news-spewing AI, explained
- The first privately funded trip to the moon is about to launch
- AI is reinventing the way we invent
- chatbots-of-today-and-tomorrow
- ai-nlp-research-pretrained-language-models
- ai-nlp-research-neural-machine-translation
- most-important-ai-reinforcement-learning-research
- Top 100 AI Leaders in Drug Discovery & Advanced Healthcare
- Here's why Indian companies are betting big on AI
- Where AI is headed next--By Analyzed 16,625 papers to figure out
- The Rise of the Robot Reporter
- Getting smart about the future of AI
- List of Machine Learning / Deep Learning conferences in 2019
- Perspectives on Issues in AI Governance
- Troubleshooting Deep Neural Networks
- Edge TPU Devices
- Facebook is Working on Its Own Custom AI Silicon
- Succeeding as a data scientist in small companies/startups
- will-ai-achieve-consciousness-wrong-question?
- Government Plans to Issue Technical Standards For Artificial Intelligence Technologies
- AI Safety Needs Social Scientists
⭐ - AAAI 2019 Highlights: Dialogue, reproducibility, and more
- The 4 Biggest Open Problems in NLP
- Causal Inference 2: Illustrating Interventions via a Toy Example
- Causal Inference 3: Counterfactuals
- DeepSets: Modeling Permutation Invariance
- The technical, societal, and cultural challenges that come with the rise of fake media
- Overcoming barriers to AI adoption
- VQA Challenge 2019 launched!
- What’s The Right Path For Scaling?
- Power Issues Rising For New Applications
- Chasing Reliability In Automotive Electronics
- Variation Issues Grow Wider And Deeper
- In-Memory Computing Challenges Come Into Focus
- China’s Foundry Biz Takes Big Leap Forward
- Using Sensor Data To Improve Yield And Uptime
- Making an interactive UMAP visualization of the MNIST data set
- Giving Neural Nets an Innate Brain-Like Structure Could Bolster Deep Learning
- What Games Are Humans Still Better at Than AI?
- Securing machine learning models against adversarial attacks
- 6 Ways Machine Learning Is Revolutionizing Manufacturing In 2019
- The Evolution of AI From Practical and Scalable to Responsible
- Huawei and Heavy Reading Release White Paper for 5G Core Network Migration
- Interactive Big Data Exploration and Visualization or...where have all the cabs gone?
- KNIME and Jupyter
- Understanding Why MATLAB Is Best Suited For Deep Learning
- Inside the AI developer’s toolbox
- The ‘Big Bang’ of Data Science and ML Tools
- Artificial intelligence trends and predictions for 2019
- Connecting the Thread: 5G
- What’s Changed: 2019 Gartner Magic Quadrant for Data Science and Machine Learning Platforms
- These 50 Start-Ups May Be the Next ‘Unicorns’
- a-data-scientists-relationship-with-building-predictive-models
- Shaping the future of mobile with Android
- What Lessons Can Apollo 13 Teach Us About Analytics?
- Pictionary-Playing AI Sketches the Future of Human-Machine Collaborations
- how-machine-learning-is-crafting-precision-medicine
- We Run the World’s Machine Learning. Literally.
- India's Reliance Jio Could Lose $2.1 Billion This Fiscal Year: Bernstein
- waymo-cto-on-the-companys-past-present-and-what-comes-next
- Don’t Fight the Robots. Tax Them.
- Seven Myths in Machine Learning Research
- 7 Practical Facts about the Human Brain I wish Everyone Knew
- India plans 5G auction in June as market starts to stabilize
- Machine learning can boost the value of wind energy
- Long-Range Robotic Navigation via Automated Reinforcement Learning
- Machine learning can boost the value of wind energy
- Making an interactive UMAP visualization of the MNIST data set
- Machine Learning In The Browser
- Causality in machine learning
- Artificial Intelligence APAC January 26 · Issue #23
- Data Scientists and Deploying Models From any Framework
- First Uber Science Symposium: Discussing the Next Generation of RL, NLP, ConvAI, and DL
- Modeling Censored Time-to-Event Data Using Pyro, an Open Source Probabilistic Programming Language
Jan - 2019
- Google AI: Looking Back at Google’s Research Efforts in 2018
- Nvidia AI; Cell by Cell: Deep Learning Powers Drug Discovery Effort for Hundreds of Rare Diseases
- Big Data Analytics, Machine Learning and AI in the Renewable Energy Sector
- Seeking One-Shot Machine Learning: The Case of AI Self-Driving Cars
- Quantum Communication Just Took a Great Leap Forward
- We’d have more quantum computers if it weren’t so hard to find the damn cables
- Automated Machine Learning — An Overview
- Snagging Parking Spaces with Mask R-CNN and Python
- DeepMind: AlphaStar: Mastering the Real-Time Strategy Game StarCraft II
- GoogleAI: Soft Actor-Critic: Deep Reinforcement Learning for Robotics
- GoogleAI: Natural Questions: a New Corpus and Challenge for Question Answering Research
- GoogleAI: Expanding the Application of Deep Learning to Electronic Health Records
- Practical Deep Learning for Coders 2019
- C++11, random distributions, and Swift
- introducing-int8-quantization-for-fast-cpu-inference-using-openvino
- Introducing Nauta: A Distributed Deep Learning Platform for Kubernetes*
- multi-node-convergence-and-scaling-of-inception-resnet-v2-model-using-intel-xeon-processors
- optimization-of-tensorflow-wavenet-models-on-intel-xeon-processors
- fast-inference-with-early-exit
- BAIDU: A Breakthrough in Speech Technology: Baidu Launched SMLTA, the First Streaming Multi-layer Truncated Attention Model for Large-scale Online Speech Recognition
- Former Google Chief to Chair Government AI Advisory Group
- What is the Potential ROI from AI in 5G Wireless Networks?
- The Advent of Architectural AI
- The Science Behind AlphaStar
- IBM builds a more diverse million-face data set to help reduce bias in AI
- https://www.aiin.healthcare/
- Transformer-XL: Unleashing the Potential of Attention Models
- Creating a Zoo of Atari-Playing Agents to Catalyze the Understanding of Deep Reinforcement Learning
- POET: Endlessly Generating Increasingly Complex and Diverse Learning Environments and their Solutions through the Paired Open-Ended Trailblazer
- How Uber Beacon Helps Improve Safety for Riders and Drivers
- The Cost of Self-Driving Cars Will Be the Biggest Barrier to Their Adoption
- The Future of AI Will Be About Less Data, Not More
- Cloudera and Hortonworks Complete Planned Merger
- A Cambrian Explosion In Deep Learning, Part 2: The Startups
- MIPS Joins RISC-V as Second Open Source Alternative to Arm
- AI-Powered Solutions for Industries
- AutoML: Automating the design of machine learning models for autonomous driving
12/28
- Asia’s AI agenda: The ecosystem
- 10 Exciting Ideas of 2018 in NLP
- People Vs. Self-Driving Cars
- Carmakers To Chipmakers: Where’s The Data?
- Anatomy Of An Autonomous Vehicle Crash
- Big Changes For Mainstream Chip Architectures
- Highlights of 2018
- MobileNetV2 + SSDLite with Core ML
- What to expect in 2019: science in the new year
- Pakistan and Egypt had highest rises in research output in 2018
- How a major AI conference is attempting to tackle its culture problem
- Nature’s 10 Ten people who mattered this year.
- 2018 in news: The science events that shaped the year
- One year of deep learning
- Data Science vs Engineering: Tension Points
- What’s The Right Path For Scaling?
- Nvidia’s Fake Faces Are a Masterpiece—But Have Deeper Implications
- Life-or-Death Algorithms: Avoiding the Black Box of AI in Medicine
- AI Will Create Millions More Jobs Than It Will Destroy. Here’s How
- Are We Made of Memories? A Researcher’s Quest to Record His Life
- Quantum Communication Just Took a Great Leap Forward
- NEAT: An Awesome Approach to NeuroEvolution
- December Edition
- Industry Predictions
- Data Science Project Flow for Startups
- The state of artificial intelligence
- DARPA wants to build an AI to find the patterns hidden in global chaos
- The Turing Institute joins forces with Japan to bolster AI research
- IBM’s Project Debater AI helps humans process complex arguments
- Pentagon Seeks a List of Ethical Principles for Using AI in War
- A neural network can learn to organize the world it sees into concepts—just like we do
- School of Engineering welcomes new faculty
- MIT adds computational Earth, atmospheric, and planetary sciences to its PhD offerings
- Intel: ai-at-ces
- Intel: ai-ethics-at-neurips
- High Performance Numeric Programming with Swift: Explorations and Reflections
- Finland’s grand AI experiment
- Cheaper AI for everyone is the promise with Intel and Facebook’s new chip
- World's Largest AI Startup Readies $2 Billion Fundraising
- Benedict Evans: Does AI make strong tech companies stronger?
- Unprovability comes to machine learning
- Lessons Learned at Instagram Stories and Feed Machine Learning
- What Kagglers are using for Text Classification
- 10 Data Science Tools I Explored in 2018
- tensorflow/privacy
- Does my Startup Data Team Need a Data Engineer?
- How big data has created a big crisis in science
- Artificial Intelligence APAC - Issue #20
12/21
- Google AI: Google AI Princeton: Current and Future Research
- Google AI: Exploring Quantum Neural Networks
- FAIR: Open-sourcing DeepFocus, an AI-powered system for more realistic VR images
- Intel AI; ai-for-social-good-at-neurips
- Intel AI; iiit-hyderabad-and-intel-release-worlds-first-dataset-for-driving-in-india
- Intel AI; ai-for-radiology-shines-at-rsna-2018
- 3Q: Aleksander Madry on building trustworthy artificial intelligence
- Deep-learning technique reveals “invisible” objects in the dark
- Artificial Life that learns Foraging Behavior using Neuroevolution
- HBR: The Competitive Landscape of AI Startups
- A Year of AI Transformation
- AI Market Ramps Everywhere
- Microsoft 'Intelligent Cloud Hub' to build AI-ready workforce in India
- DeepSolar: A Machine Learning Framework to Efficiently Construct Solar Deployment Database in the United States
- Geoffrey Hinton and Demis Hassabis: AGI is nowhere close to being a reality
- Living with machines: A five-year research project that will take a fresh look at the well-known history of the Industrial Revolution using data-driven approaches
- Tech giants focus AI on healthcare as India joins the bandwagon
- Google and Princeton University are opening an AI lab
- AMD partners Singapore university to launch AI lab
- European AI ethics guidelines opened to consultation
12/14
- How to Set Up an AI R&D Lab
- IBM: The new frontiers of AI
- OpenAI: How AI Training Scales
- Google AI:Providing Gender-Specific Translations in Google Translate
- Google AI: Grasp2Vec: Learning Object Representations from Self-Supervised Grasping
- FAIR: Facebook contributes to MLPerf, open-sources Mask R-CNN2Go
- us-intelligence-quantum-computing-artificial-intelligence-national-security-threat
- BAIR: Soft Actor Critic—Deep Reinforcement Learning with Real-World Robots
- BAIR: Scaling Multi-Agent Reinforcement Learning
- The State of Natural Language Processing – Giant Prospects, Great Challenges
- MIT: The 18 biggest computer science stories of 2018
- NVIDIA AI: Rise of the Data Center GPU: 5 Predictions for 2019
- Intel AI: mlperf-results-validate-cpus-for-dl-training
- Intel AI: deep-defense-training-dnns-with-improved-adversarial-robustness
- Playment partners with Ouster to simplify LiDAR data annotations
- https://www.stateoftheart.ai/
- AI Index 2018 Annual Report.pdf
- Amazon’s Homegrown Chips Threaten Silicon Valley Giant Intel
- The Role of Explainable Artificial Intelligence in Patent Law
- Deep Hunt — Issue #63
- A Full Hardware Guide to Deep Learning
- Machine Learning PhD Applications — Everything You Need to Know
- The Cost Of Accuracy
- Science in longform: Favourite feature stories in 2018
- SU Faculty Finds: What to Read In December
- Exponential Technology Trends That Will Define 2019
- Improve your Scientific Models with Meta-Learning and Likelihood-Free Inference
- A Peek Into Software Engineering at Mythic
- Top 10 Algorithmia Blog Posts of 2018
- 120 AI Predictions For 2019
- China’s $856 Billion Startup Juggernaut Is Getting Stuck
- toranto: The What’s Next Intermittent Computing Architecture
- Your guide to AI, Holiday Season Special, by nathan.ai
- 2018 in science
12/07
- Deepmind: AlphaFold: Using AI for scientific discovery
- Deepmind: AlphaZero: Shedding new light on the grand games of chess, shogi and Go
- OpenAI; Quantifying Generalization in Reinforcement Learning
- Google AI: Highlights from the 2018 Google PhD Fellowship Summit
- Google AI: Google at NeurIPS 2018
- Google AI: The NeurIPS 2018 Test of Time Award: The Trade-Offs of Large Scale Learning
- Google AI: TF-Ranking: A Scalable TensorFlow Library for Learning-to-Rank
- Google AI: Adding Diversity to Images with Open Images Extended
- AI will transform product management
- Report: U.S. needs an AI strategy now
- NVIDIA's new AI turns videos of the real world into virtual landscapes
- White House to Release New AI Research Plan in 2019
- Nvidia AI research points to an evolution of the chip business
- DeepMind claims early progress in AI-based predictive protein modelling
- FAIR:Facebook at NeurIPS 2018
- FAIR: Facebook Connectivity Lab: Opportunity Statements for Open Innovation
- FAIR: FAIR turns five: What we’ve accomplished and where we’re headed
- FAIR: Leon Bottou (Facebook AI) and Olivier Bousquet (Google AI) Win the Test of Time Award at NeurIPS 2018
- Intel AI: intel-ai-research-at-neurips-2018
- Intel AI:ngraph-compiler-stack-beta-release
- Intel AI: he-transformer-for-ngraph-enabling-deep-learning-on-encrypted-data
- Intel AI:scalable-methods-for-8-bit-training-of-neural-networks-blog
- Intel AI:precision-and-recall-for-time-series
- Intel AI:accelerate-ai-with-intel-architecture-powering-microsoft-azure
- Intel AI:improving-the-efficiency-and-accuracy-of-normalization-schemes-in-deep-networks
- Nvidia AI:NVIDIA Research Takes NeurIPS Attendees on AI Road Trip
- Nvidia AI:NVIDIAN Rhapsody: Elite AI Researchers Win First TITAN RTX GPUs at NeurIPS
- How to Get a Better GAN (Almost) for Free: Introducing the Metropolis-Hastings GAN
- IBM AI: 8-Bit Precision for Training Deep Learning Systems
- IBM AI: Dual 8-Bit Breakthroughs Bring AI to the Edge
- IBM AI: Interpretability and Performance: Can the Same Model Achieve Both?
- BAIR: Building Gene Expression Atlases with Deep Generative Models for Single-cell Transcriptomics
- BAIR: Visual Model-Based Reinforcement Learning as a Path towards Generalist Robots
- Augmented Reality (AR) and AI Self-Driving Cars
- 5 Important AI Predictions For 2019 Everyone Should Read
- The Making of H2O Driverless AI – Automatic Machine Learning
- Inside the world of AI that forges beautiful art and terrifying deepfakes
- Canada and France plan an international panel to assess AI’s dangers
- Facial recognition has to be regulated to protect the public, says AI report
- Quantum computers pose a security threat that we’re still totally unprepared for
- Alibaba already has a voice assistant way better than Google’s
- AI software can dream up an entire digital world from a simple sketch
- 5 Paradoxes Which Left Artificial Intelligence Researchers In A Lurch
- The Best Autonomous Vehicle Events to Attend in 2019
- Deep Hunt — Issue #62
11/30
- Google AI: A Structured Approach to Unsupervised Depth Learning from Monocular Videos
- Google AI: Learning to Predict Depth on the Pixel 3 Phones
- Global Financial Services Bullish On AI, The 'Disruptive Tech' Frontrunner
- AWS Machine Learning Game Gets A Boost With New Services, Custom-Designed ML Chip
- Huawei releases autonomous AI driving solution and demos cellular-connected cars
- AI Startup Gyrfalcon spins plethora of chips for machine learning
- AI startup Petuum aims to industrialize machine learning
- IBM and IIT Delhi collaborate for AI research
- Qualcomm bets $100M on new AI venture fund
- Government earmarks £3m in funding for AI research for legal and financial service
- Facebook AI research and NYU school of medicine announces new open-source AI models and MRI dataset as part of their FastMRI project
- Fearful of bias, Google blocks gender-based pronouns from new AI tool
- MIT: Student group explores the ethical dimensions of artificial intelligence
- Intel AI: intel-ai-at-rsna-2018
- Intel AI: neurips-2018-intel-advances-ai-research-and-development
- Intel AI: intel-software-development-tools-on-the-new-aws-marketplace-for-machine-learning
- Intel AI: rl-coach-data-science-at-scale
- Nvidia AI: Hot Ticket: Sold-Out NeurIPS to Feature NVIDIA AI Research, Speakers and Demos
- Nvidia AI: NVIDIA and 75 Healthcare Partners Power Future of Radiology
- Microsoft @ NeurIPS 2018
- Microsoft AI: Discovering the best neural architectures in the continuous space
- Microsoft AI: Minimizing trial and error in the drug discovery process
- Microsoft AI: Challenge accepted—MARLÖ competition among conference highlights
- Uber AI: Montezuma’s Revenge Solved by Go-Explore, a New Algorithm for Hard-Exploration Problems (Sets Records on Pitfall, Too)
- Super-Intelligent AI Paperclip Maximizer Conundrum and AI Self-Driving Cars
- Big Tech Primary Adopter of AI So Far; Adoption by Non-Tech Picking Up
- How to Avoid the Potential Dangers of AI, Robots and Big Tech Companies
- Four billion people lack an address. Machine learning could change that.
- technology-innovations-the-future-of-ai-and-blockchain
- Making AI algorithms crazy fast using chips powered by light
11/23
- University of Birmingham Unveils Powerful IBM AI Cluster
- AI and ethics – challenging questions from the UK with global applicability
- Explainable Artificial Intelligence: How Does it Work?
- New Features For Amazon SageMaker: Workflows, Algorithms, and Accreditation
- Amazon Rekognition announces updates to its face detection, analysis, and recognition capabilities
- Artificial intelligence competition announces $1 million prize
- How Cheap Labor Drives China’s A.I. Ambitions
- China’s artificial intelligence ambitions hit hurdles
- Fei-Fei Li's Quest to Make AI Better for Humanity
- Chinese AI chipmaker Horizon Robotics raises up to $1bn
- Apple acquires Artificial Intelligence startup Silk Labs
- HBO documentary a creepy look at artificial intelligence
- 5 trends to expect for artificial intelligence in 2019
- Kumbh Mela: Indian Railways to use Artificial Intelligence-based technology for crowd control at stations
- Elon Musk: Humans must merge with machines
- Our nation needs to accelerate artificial intelligence for farm tech
- Is Artificial Intelligence Dangerous? 6 AI Risks Everyone Should Know About
- Battlefield 2.0: How Edge Artificial Intelligence Is Setting Man Against Machine
- Driving the Next Generation of Vehicles
- IBM Research AI at 2018 Conference on Neural Information Processing Systems
- BAIR: Physics-Based Learned Design: Teaching a Microscope How to Image
- Prevalence-Induced Behavior and AI Self-Driving Cars
- 2019 AI Predictions From Forrester: Data Quality a Top Challenge
- Smarter AI: Machine learning without negative data
- Model of quantum artificial life on quantum computer
- Investments in artificial intelligence to triple, as firms seek payday
- NASA's Insight lands on Mars - What's next?
- AI & Global Governance: Three Paths Towards a Global Governance of Artificial Intelligence
- Voice ‘Fingerprint’ Propels Speaker Recognition
- One of the largest AI platforms in healthcare is one you’ve never heard of, until now
11/16
- Google AI: Accurate Online Speaker Diarization with Supervised Learning
- Google AI: Night Sight: Seeing in the Dark on Pixel Phones
- Google AI: Improved Grading of Prostate Cancer Using Deep Learning
- INtel AI: compressing-gnmt-models
- INtel AI: brainiak-ai-powered-neuroscience
- INtel AI: intel-neural-compute-stick-2-smarter-faster-plug-and-play-ai-at-the-edge
- Uber AI: Announcing the 2019 Uber AI Residency
- Uber AI: NVIDIA: Accelerating Deep Learning with Uber’s Horovod
- Uber AI: Experience in AI: Uber Hires Jan Pedersen
- Baidu Research Establishes an Advisory Board, Holds 1st Board Meeting in Silicon Valley
- BAIR: AdaSearch: A Successive Elimination Approach to Adaptive Search
- Exascale Supercomputers and AI Self-Driving Cars
- Andrew Ng Launches ‘AI for Everyone,’ a new Coursera Program for Business Professionals
- The 20 Best Data Analytics Software Tools for 2019
- will-artificial-intelligence-save-us-from-the-next-cyberattack
- AI capable of outlining in a single chart information from thousands of scientific papers
- MIT: The many interfaces of computing
- MIT: Bridge to the future of engineering
- MIT: Artificial intelligence summit adresses impact of technology on jobs and global economy
- AI Could Make Cyberattacks More Dangerous, Harder to Detect
- This AI outperformed 20 corporate lawyers at legal work
- OpenAI and DeepMind AI system achieves ‘superhuman’ performance in Pong and Enduro
- Germany pledges €3bn investment in artificial intelligence
- Machine learning, meet quantum computing
- Which Countries Lead in Deep Machine Learning Research?
- Merging memory and computation, programmable chip speeds AI, slashes power use
- Hive taps a workforce of 700,000 people to label data and train AI models
- Beyond the AI Arms Race America, China, and the Dangers of Zero-Sum Thinking
- Graph Algorithms in Neo4j: Graph Technology and AI Applications
- 'One day Amazon will go bankrupt': Jeff Bezos warns staff not to be complacent and says retail giant is 'not too big to fail'
- Artificial intelligence is 'shockingly' racist and sexist - but only because they are being fed the wrong data, MIT study finds
- The Impact of Artificial Intelligence on the World Economy
- The Amazing Ways Artificial Intelligence Is Transforming Genomics and Gene Editing
- BlackBerry is buying AI-powered security company Cylance for $1.4bn
- Machine learning for quantum mechanics in a nutshell
- China: AI superpower
- AI will make you smarter. Here's how.
- Your smartphone photos are totally fake — and you love it
- Artificial Intelligence in 2019
- How The Wall Street Journal is preparing its journalists to detect deepfakes
- NASA uses AI software to create radical interplanetary lander that could one day touch down on the moons of Saturn or Jupiter
- AI: "Artificial" or Augmented" Intelligence
- Samsung to invest $22 billion in 5G and AI
- Fake fingerprints can imitate real ones in biometric systems – research
- These awful AI song lyrics show us how hard language is for machines
- Can AI Create True Art?
- Artificial Intelligence Era Requires New Approaches to Create AI Talent
- Microsoft CEO: AI can change the trajectory of healthcare if properly used
- A Framework for Culturally Empathetic AI
- AI could soon be all around us — here's how that could upend 8 different industries
- These companies are pitching AI to the US military
- Researchers Created an 'AI Physicist' That Can Derive the Laws of Physics in Imaginary Universes
- How To Create An AI (Artificial Intelligence) Startup
- How to Speed Up Deep Learning Inference Using TensorRT
- Is AI the new electricity?
- Bird's Eye View
- Leveraging GANs to combat adversarial examples
- Nations sharpen AI strategies as global competition heats up
- A few thoughts on HTTPS, AI, and Captchas
- Online Bayesian Deep Learning in Production at Tencent
- AI’s role in addressing data overload and GDPR compliance
- Enlisting Machine Learning to Fight Data Center Outages
- Google Cloud launches AI Hub to simplify machine learning deployment
- Microsoft allies with Facebook on A.I. software
- Intel Neural Compute Stick 2 Launched for AI, Deep Learning Without the Cloud
- LF Deep Learning Unveils First Acumos AI Release
- HPE expands AI-driven operations
- Oracle to double Reading AI lab in multi-million pound UK investment
- Google is absorbing DeepMind’s health care unit to create an ‘AI assistant for nurses and doctors
- Tencent AI Lab launches smart translation machine-Transmart
- Atos teams up with Google to open AI lab in London
- Mindtree partners with IISc for AI research
- PolyU, Alibaba Cloud strengthen AI research partnership
- Fujitsu enables next-gen realtime AI simulators
- Microsoft to acquire chatbot startup as it pushes for 'responsible AI'
- How Google is looking to ensure AI development is ethical and fair
- AI Bias And The 'People Factor' In AI Development
11/09
- OpenAI: Spinning Up in Deep RL
- FAIR:Making floating point math highly efficient for AI hardware
- intel-ai-at-sc18
- Which GPU(s) to Get for Deep Learning: My Experience and Advice for Using GPUs in Deep Learning
- TPUs vs GPUs for Transformers (BERT)
- EMNLP 2018 Highlights: Inductive bias, cross-lingual learning, and more
- GDPR a challenge to AI black boxes
- IBM: Meet the best server for enterprise AI
- AI startup Flex Logix touts vastly higher performance than Nvidia
- Microsoft develops flexible AI system that can summarize the news
- Intel Shares A Broader Perspective On The Artificial Intelligence Technology Landscape
- Walmart is building an AI lab inside one of its stores
- Google's latest machine learning model can track down the source of restaurant food poisoning
- New AI solver platform from Fujitsu Labs enables real-time AI simulators
- EU ethical guidelines to tackle AI's racial and gender bias
- How Jaguar Land Rover Is Getting Ready For The 4th Industrial Revolution: AI & Autonomous Cars
- Not Just for Google: ML-Assisted Data Center Cooling You Can Do Today
- How Machine Learning Can Create a More Meritocratic, Less Biased Job Market
- World's first AI news anchor unveiled in China
- China Recruits "Patriotic" Children to Develop Its AI Weapons
- Artificial Intelligence, China And The U.S. - How The U.S. Is Losing The Technology War
- Can AI Love?
- Machine learning in recruitment: it works for everybody
- Why Is Data Science Different than Software Development? It Starts with Data…Lots o’ DATA!!
- Dating apps use artificial intelligence to help search for love
- The Amazing Ways Toyota Is Using Artificial Intelligence, Big Data & Robots
- MIT is using Artificial Intelligence (AI) for development of specialized Nanoparticles
- Google Cloud rolls out new tools to make AI more accessible
- NVIDIA: Real-Time Noise Suppression Using Deep Learning
- The eight types of AI you should know about
- Huawei Chips Unlock New Era of Artificial Intelligence
- China’s embrace of AI: Enthusiasm and challenges
- China rolls out surveillance system to identify people by their body shape and walk
- New Quantum Machine Learning Algorithm Could Crush Big Data
- We Let Tech Companies Frame the Debate Over AI Ethics. That Was a Mistake.
- How can India influence adoption of AI/Machine Learning Globally
- Why Chinese Artificial Intelligence Will Run The World
- Three Paths Towards Global Governance of Artificial Intelligence
- The £2.5 MILLION Martian mansion: Mars's first occupants will have gardens, gyms, spas and carports in luxury accommodation, claim experts
- This is how artificial intelligence will become weaponized in future cyberattacks
- Could artificial intelligence make doctors obsolete?
- Artificial Intelligence Will Be the Greatest Jobs Engine the World Has Ever Seen
- Does Synthetic Data Hold The Secret To Artificial Intelligence?
- To build new college, MIT seeks campus and alumni input
11/02
- Future Decoded 2018: Adopt AI or get left behind, Microsoft warns
- Google launches AdaNet for combining algorithms with AutoML
- Microsoft chooses new chip supplier Xilinx for half of Azure’s AI workloads
- Intel’s AI strategy for 2019 goes beyond chips
- Philips looks to artificial intelligence to train its workforce
- Flex Logix unveils neural inferencing engine for AI in datacenters and on the edge
- Irish startup Voysis creates general purpose AI voice technologies
- Data privacy is a human right and must be protected, says Satya Nadella
- Facebook aims to be more engaging to humans in latest AI research
- Google puts up $25 million for AI research to help humanity, Earth
- Microsoft in multi-million pound move to stop brain drain by backing AI research at Cambridge
- Canadian AI research depends on continued funding
- New MIT College of Computing to Boost AI Research Across the Institution
- Intel and Tencent debut AI-powered camera systems for retail
- IBM, Harvard develop tool to tackle black box problem in AI translation
- Nearly half of UK firms think their business models won't exist in 5 years because of A.I., study says
- Teaching AI ethics – Trick or Treat?
- Europe’s AI ethics chief: No rules yet, please
- Tech Leaders Look To IoT, AI & Robotics To Fuel Growth Through 2021
- Robotic Process Automation: A Gateway Drug to AI and Digital Transformation
- Data quality and the democratisation of AI
10/27
- Machine learning now the top skill sought by developers
- Four ways machine learning is evolving, according to Facebook's AI engineering chief
- How automated machine learning is helping to bridge the AI skills gap
- The Intelligent Automation Revolution: From Robotic Process Automation To Cognitive Automation
- Machine Learning: The New Language Of Leadership
- Google’s Fluid Annotation uses AI to annotate image datasets quickly
- Intel-backed startup Nyansa chases the total problem in the AI of network monitoring
- microsoft-to-comply-with-the-data-localisation-requests-from-all-countries
- McAfee combining threat intel with AI
- SAP embraces Robotic Process Automation as part of new AI and cloud push
- Red Hat Powers NVIDIA DGX-1 for Ai Workloads
- OpenAI develops new approach to measure success of complex AI tasks
- China's Baidu challenges Google with A.I. that translates languages in real-time
- DARPA Embraces ‘Common Sense’ Approach to AI
- AI can’t replace doctors. But it can make them better.
- Who’s Going to Make the Most Money Off the A.I. Wave?
- Deepmind: Building safe artificial intelligence: specification, robustness, and assurance
- OpenAI: Learning Complex Goals with Iterated Amplification
10/19
- MIT ANNOUNCES A $1 BN AI COLLEGE FOR RESPONSIBLE, ETHICAL USE OF THE TECHNOLOGY
- Big businesses take the lead in machine learning
- Robotic automation will become bigger in 2019 and beyond
- Don't Fear AI: Embrace It And Learn What It Can Do For Your Business
- Why AI and machine learning are driving data lakes to data hubs
- More Tools Emerge for AI Deployment
- Structure Your Analytics Team for Success in the Age of AI
- AI On The Job: How New Technologies Will Impact The Modern Workforce
- AI Requires More Than Machine Learning
- Why AI-driven automation will lead enterprise mobility over next 5 years
- AI will impact 100% of jobs, professions, and industries, says IBM's Ginni Rometty
- The AI revolution is underway – what does the future look like for banks?
- Intel-backed startup Paperspace reinvents dev tools for an AI, cloud era
- Alphabet’s DeepMind open-sources key building blocks from its AI projects
- Huawei Aims to Speed AI Developments With New Development Platform & Developer Program
- Adobe partners with Accenture to fuel AI-powered experiences
- C3 forges HPE partnership, launches AI appliance
- Intuit adds AI, enterprise features to QuickBooks online
- OpsRamp brings AI and machine learning to IT operations
- Workplace AI startup launched after successful funding
- Atos and Google Cloud launch AI lab in London, to boost UK tech sector
- Abu Dhabi, IBM plan to set up AI Centre of Excellence
- Samsung opens seventh AI centre in Montreal
- Nvidia opens Israel AI research center
- PicsArt Opens AI Lab in Moscow; Collaborates with Moscow Institute of Physics and Technology for R&D
- DeepMind’s New Research Plan to Make Sure AI Is Safe
- IBM brings artificial intelligence to the heart of cybersecurity strategies
- Baidu becomes first China firm to join US AI ethics group
- AI Ethics In Tech Companies Are Ubiquitous, Yet Elusive
- Microsoft: The importance of creating ethical AI
10/12
- Intel: deep-learning-is-coming-of-age
- Microsoft open-sources Infer.Net machine learning
- Google open-sources ActiveQA, an AI agent that learns to ask good questions
- Google to release DeepMind's StreetLearn for teaching machine-learning agents to navigate cities
- Oracle and NVIDIA Partner on Analytics, Machine Learning, and AI
- Teraki launches AI and edge processing technology to meet exploding data analytics demands of the automotive industry
- Intel launches AI research center in Israel
- DARPA wants to teach and test ‘common sense’ for AI
- Huawei to invest US$140m in global AI developer programme
- How Canada’s AI Research Hubs Lured Facebook, Google and Samsung North
- IBM Boosts Cloud Private AI
- We need to fix AI's bias problem: Microsoft’s Harry Shum
- How Enterprises Can Help Build Ethical AI Strategies
- Amazon dumps AI recruiting tool that showed bias against women
- Why All Employees Need Data Skills In 2019 (And Beyond)
- Huawei boosts AI computing power with new Atlas launch
- Nvidia launches Rapids to help bring GPU acceleration to data analytics
10/5
- Google and Facebook Are Teaming Up on Artificial Intelligence Tech
- Microsoft Expands AI Offerings At Ignite 2018
- Google acquires customer service automation startup Onward
- The fusion of AI, ML, and Voice in the Contact Center
- Artificial Intelligence: The fourth industrial revolution
- AI full of possibilities with the right tools and understanding
- Artificial intelligence: Data will be the differentiator in the marketplace
- Human-Centered Technology: Putting AI Into The Hands Of Users Across The Enterprise
- The 3 most overlooked limitations of AI in business
- Artificial Intelligence-driven machines can be fooled, warn IISc researchers
- Why AI is the CFO’s Strategic Ally
- Robotics set to become standard in finance
- Infor OS brings enterprise AI and business applications under one tent
- Airtel Gets Aggressive on AI; Acquihires AuthMe Services
- Fast.ai's software could radically democratize AI
- Xilinx Unveils Versal for AI Workload Acceleration
- Facebook Plans To Double Size Of AI Research Unit By 2020
- $9T Global Healthcare Strengthened By ITU Focus Group AI For Health
- U.S. should double A.I. funding, says the former head of Google China
- Google DeepMind Given Access To Mammograms Of 30,000 Women By Japanese Hospital
- Fujitsu, NVidia empower students with advanced AI
- IBM pushes automation, NLP in Cognos Analytics 11.1 update
- The U.S. Department of Defense Selects BAE Systems to Help Develop and Deliver Next Generation Mission Technologies
- Billion Dollar Bot taking on Google with the integration of A.I. with online search
- Digital Catapult launches Ethics Framework for AI and machine learning
- SAS recommends government start small with AI and machine learning
- AI Bias “More Dangerous than Killer Robots”
- Sony sets out AI ethical guidelines
9/28
- MIT Sloan: ARTIFICIAL INTELLIGENCE IN BUSINESS GETS REAL Pioneering Companies Aim for AI at Scale
- Google’s DeepMind and Unity join forces to create simulated environments for AI training
- Microsoft's Project Brainwave brings fast-chip smarts to AI at Build conference
- Worldwide Spending on Cognitive and Artificial Intelligence Systems Will Grow to $19.1 Billion in 2018, According to New IDC Spending Guide
- Baidu CEO Robin Li says artificial intelligence will have much bigger impact on society than the internet
- MIT And IBM Lab Partnership Launches 48 Projects To Tackle AI Challenges
- DOD selects team with U.K. to tackle AI research
- Researchers train AI to identify people from their footsteps
- Microsoft, AI Singapore and NUS to develop and reinforce SG’s AI capabilities
- IBM launches pretrained Watson packs for industries
- IBM adds AI-powered features to its Cognos Analytics business intelligence platform
- AI bias must be tackled to avoid it 'unknowingly' harming people
9/21
- Facebook expanding its Montreal AI lab to double the number of researchers
- Tools Tackle AI's Bias, Trust Problem
- U.S. tech giants eye AI key to unlock China push
- Chinese firms are aggressive investors in AI and show a ‘thirst for talent’, says MIT-BCG report
- Microsoft launches new AI applications for customer service and sales
- Microsoft’s ML.Net framework adds TensorFlow scoring
- Greenhouse integrates IBM Watson Talent’s AI-powered recruitment features
- Google launches new AI initiatives in Japan
- Neo4j tunes its graph engine for AI applications
- Nvidia researchers develop AI system that generates synthetic scans of brain cancer
- Alibaba looks to arm hotels, cities with its AI technology
- International tech giants to establish AI centers in Shanghai
- Google opens French AI research center, bigger offices as Alphabet expands Jigsaw
- How Breakthrough Listen Trained AI to Spot Elusive, Mysterious Radio Bursts
- IBM Debuts Tools to Help Prevent Bias In Artificial Intelligence
- A.I. has a bias problem that needs to be fixed: World Economic Forum
- CIOs must take charge in implementing artificial intelligence governance
9/14
- Intel, Marvell, Qualcomm, and others will support Facebook’s Glow compiler
- Google’s What-If Tool for TensorBoard helps users visualize AI bias
- China's DeepBlue Technology, Luxembourg LHoFT set up joint AI labs
- AI-based research toward autonomous robots and drones
- Microsoft, SRL come together to expand AI network to pathology
- 15 healthcare startups join forces to create AI research platform
- A new platform for research and industry collaborations in artificial intelligence
- Deepmind: The promising role of AI in helping plan treatment for patients with head and neck cancers
- DARPA Plans To Spend $2 Billion Developing New AI Technologies
- Samsung opens robotics-focused AI research hub in New York City
- IBM and IIT Bombay team up to accelerate AI research in India
- Nvidia unveils Tesla T4 chip for faster AI inference in datacenters
- Cisco launches UCS system for AI, machine learning, deep learning
- Artificial Solutions puts customer privacy first with Teneo, a conversational AI platform
- Adobe brings new voice analytics capabilities to Experience Cloud
- Google Cloud hires CMU Dean Andrew Moore as next AI chief
- RPA: Blue Prism partners with Celonis on process automation, transformation
- Microsoft buys AI startup Lobe
- AI Is a Powerful Ally in Public Safety - Responsible Use Is Paramount
- THE NEXT PHASE OF MACHINE LEARNING: MLAAS
- Forrester claims SAS first truly multimodal predictive analytics and machine-learning platform
- McKinsey:'s : AI will create $13 trillion in value by 2030
- McKinsey:Notes from the frontier: Modeling the impact of AI on the world economy
- Artificial Intelligence for Small and Medium Sized Businesses
- Leaders adopt AI for business benefits, not just to automate jobs away, research says
9/7
- Berkeley Lab, Intel, Cray harness power of deep learning to study the universe
- facebook: Phrase-Based & Neural Unsupervised Machine Translation
- Salesforce announces Einstein-powered AI features for Pardot and High Velocity Sales
- RPA in Manufacturing: Optimization Beyond Outsourcing
- The AI, machine learning, and data science conundrum: Who will manage the algorithms?
- What is RPA? A revolution in business process automation
- 100 Days Of GDPR: AI Roadblock
- Intel teams up with Baidu for Private Cloud AI Boost
- Baidu launches EZDL, an AI model training platform that requires no coding experience
- Lockheed Martin teams up with drone racers to add AI
- TIBCO reveals data and AI enhancements at TIBCO NOW 2018
- Google’s Launchpad Studio introduces class of financial AI startups
- Kinta AI uses artificial intelligence to make factories more efficient
- IBM “AgroPad” Prototype Can Test Water, Soil Quality using Smartphone
8/31
- Google: Introducing a New Framework for Flexible and Reproducible Reinforcement Learning Research
- Healthcare Artificial Intelligence Market to Top $34B by 2025
- A Deep Dive Into Data Lakes
- Not Just Data Privacy, Policymakers Now Need To Address AI In Trade And Liability As Well
- Eliminating Performance Bottlenecks on Web-Based AI
- Microsoft Azure, the cloud for high performance computing
- JP Morgan just hired a top Google executive in a big bet on artificial intelligence
- Informatica Introduces Product Innovations to Transform Customer Experience with Intelligent Hybrid Data Management
- HKU And Microsoft Team Up For AI Research
8/24
- How to Prepare for a Machine Learning Interview
- Feature-wise transformations
- TPU’s Start Entering Consumer Market
- Learning Math for Machine Learning
- FOUNDATIONS OF MACHINE LEARNING
- Taxonomy of Time Series Forecasting Problems
- The intuition behind Expectation Maximisation
- New Dynamics for Topic Models
- google-china-search-engine-censorship
- The Defense Department has produced the first tools for catching deepfakes
- Uber’s self-driving trucks division is dead, long live Uber self-driving cars
- Is AI The Great Equalizer For Small Law?
- The Natural Language Decathlon
- Deepmind: Objects that Sound
- Is Your Organization's AI Data Being Used To Help Your Competitor?
- Google Trusts DeepMind AI To Manage Data Centre Cooling
- Uber wants to use AI to guide drivers through the onboarding process
- Flipkart acquires AI startup Liv.ai to start the ‘voice’ revolution
- Robotics-as-a-service is on the way and inVia Robotics is leading the charge
- ‘At Google, we list AI projects we don’t do’
- Amazon expands its Alexa Fund Fellowship to a total of 18 universities, up from 4 last year
- AI for Good competition launched
- Lethal Autonomous Weapons Pledge
- Machine Learning is Getting Closer to Replacing Animal Testing
- Google Ventures Uses an Algorithm as the First Evaluator in Their Deal Flow
- TuSimple selects WekaIO for Their Self-Driving Stack
- NIPS Conference Considers Changing Its Name
- Training and serving a realtime mobile object detector in 30 minutes with Cloud TPUs
- On “solving” Montezuma’s Revenge
- SeedBank - A New Set of ML Learning Resources from Google
- How to Find Underrated People on Twitter with TURI (Twitter Underrated Index)
- It’s OK Not to Know
- Ways to think about machine learning
- Nvidia's AI to Power Daimler Robotaxi Fleet by 2020
- Great Power, Great Responsibility: The 2018 Big Data & AI Landscape
- The Visual Python Debugger for Jupyter Notebooks You’ve Always Wanted
- Create beautiful test-driven data visualisations with D3.js
- A Feature Selection Tool for Machine Learning in Python
- Deep code search
- Understanding Latent Style
- Netflix at Spark+AI Summit 2018
- An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution
- xkcd.com + Artificial Intelligence
- Microsoft Calls for AI Face Recognition Software Regulation
- OpenAI: AI Beats Amateur Human Dota 2 Players
- IBM to release world’s largest annotation dataset for studying bias in facial analysis
- Facebook Research at CVPR 2018
- The Trump administration is discussing America’s AI future today
- Summary of the International Conference on Robotics and Automation - ICRA2018
- Google opens its human-sounding Duplex AI to public testing
- Travel Time Optimization With Machine Learning And Genetic Algorithm
- pythoncheatsheet
- Understanding Speech Synthesis & A Review of Current Cloud Speech Services
- Learning from humans: what is inverse reinforcement learning?
- Productionizing ML with workflows at Twitter
- Depth-Based Image Editing
- Filling in All the Missing Parts of TensorFlow: The Medium Level Tutorial
- the-rise-of-dna-data-storage
8/17
- Deepmind: A major milestone for the treatment of eye disease
- Businesses Expect AI To Have A Positive Impact On Growth, Productivity, Innovation, Job Creation: The Economist - Microsoft Study
- GDPR hinders EU, pushes US and China ahead in AI race
- Intel Buys Deep-Learning Startup As AI Chip Sales Reach $1B
- Salesforce Open-Sourcing Machine Learning Software Behind Its 'Einstein' AI
- Google Applies AI to Recruitment, Call Centers & Recommendations
- Oracle open sources GraphPipe, a new standard for machine learning models
- Amazon wants to put AI, ML in hands of every developer, IT professionals: Navdeep Manaktala
- Machine learning can tell you which developer wrote what code, with 95% accuracy
- Haru: An Experimental Social Robot From Honda Research
8/10
- Intel's 3-point plan for coming out on top of the AI chip war
- Why 71% of organizations will spend more on data in the next five years
- How strong governance differentiates data lakes from swamps
- Dell EMC Makes Case for Deploying AI Model On-Premises
- ML.Net aims to provide machine learning for .Net developers
- SAP adds more industry focused AI to S/4 HANA Cloud
- AI: the fight Google Cloud can win
- Powering AI in the Enterprise
- Robotics Solutions Using Deep Learning
- UCI Health Opens Center for Artificial Intelligence, Deep Learning
- Indians contributing a lot to AI: Google Cloud’s chief scientist
- MIT: Artificial intelligence model “learns” from patient data to make cancer treatment less toxic
- AI process automation offers benefits, but challenges remain
8/3
- Big Names Join Group Aiming To 'Responsibly Realise The Promise Of AI'
- Why the U.S. Could Fall Behind in the Global AI Race
- Getting started with conversational AI in the enterprise
- Big announcements from major players in collaborative robotics
- Most companies lack the infrastructure for artificial intelligence
- Microsoft Launches Fifth Generation of Popular AI Xiaoice
- Elon Musk says Tesla A.I. chip project is 'finally coming to fruition'
- NetApp, Nvidia Intro New A.I. Architecture With Strong Cloud Tie
- We’re not even close to building a true Artificial Intelligence: Intel’s Naveen Rao
- LG opens new AI lab with the University of Toronto
- Google, Facebook Aim To Fix AI Diversity Issue By Funding African Machine Intelligence Course
- Mirantis & Fujitsu Building 4-Petaflop Supercomputer & Research Cloud in Japan
- Recognizing and solving for AI bias
7/27
- Google's cloud team is building A.I. chips for web-connected devices
- How banking is adopting and using AI technology
- How AI enables the cognitive supply chain
- HBR: Most of AI’s Business Uses Will Be in Two Areas
- blockchain-chatbots-and-ai-could-reinvent-corporate-finance
- Opinion: Nvidia rides the next wave in artificial intelligence with Google
- Baidu and Ford China team up to bring AI and connectivity to the driving experience
- DARPA wants AI to explain itself
- Explained: Analytics and AI have the potential to deliver superior learning experience
- Centauro: A New Disaster Response Robot From IIT
- Mind-Controlled Robotic Third Arm Gives New Meaning to “Multitasking”
- If only A.I. had a brain—engineers model an artificial synapse after the human brain
- Why ethics must be at the heart of AI
7/20
- PwC report finds AI could lead to net jobs gain by 2037
- AI And Machine Learning Will Transform Wealth Management
- On Your Marks: Business Leaders Prepare For Arms Race In Artificial Intelligence
- AI-the Next Breakthrough in Banking
- IBM Watson Health extends partnership with US to help vets with cancer
- Google unveils Artificial Intelligence-aided ad tools
- Why Facebook is expanding its robotics research efforts
- Microsoft and National Geographic team up on AI research grant
- DARPA Wants Your Insect-Scale Robots for a Micro-Olympics
- Representatives from 150 tech companies sign pledge against 'killer robots'
- Microsoft Calls for AI Face Recognition Software Regulation
- Augmented Reality Makes Robots Better Coworkers
7/13
- China, France, the U.K. and the European Union all have articulated AI strategies
- The three biggest AI challenges for businesses
- Your Raise Is Now Based on Next Year’s Performance
- Morgan Stanley draws from ‘hundreds of conversations’ with experts to build its AI
- Effective artificial intelligence requires a healthy diet of data
- Apple put Google's former AI boss in charge of Siri and machine learning
- Google’s DeepMind developed an IQ test for AI models
- Salesforce Service Cloud Einstein adds AI to CRM to boost customer service
- Nokia, China Mobile to Establish 5G + AI Lab
- Most Health Organizations Can't Ensure Responsible AI Use
- Facebook's DensePose Tech Raises Concerns About Potential Misuse
- AI Will Take Longer To Change The World Than Forecasters Say
7/6
- UBS puts digital clone of chief investment officer in branch
- AI will help, but may also kill people, say US doctors
- SAP Survey Finds AI Divide Among Business Leaders
- Can GDPR Hit on AI?
- Baidu creates Kunlun silicon for AI
- Facebook acquires Bloomsbury AI team to automate the fight against fake news
- SMC, Intel to create AI-based medical research infrastructure
- Government response to House of Lords Artificial Intelligence Select Committee’s Report on AI in the UK: Ready, Willing and Able?
- AI applications that are human-centred, unbiased, fair
Imp
- ufldl.stanford
- deeplearning.stanford
- neuralnetworksanddeeplearning
- deeplearning
- leonardoaraujosantos
- work.caltech
- https://arxiv.org/pdf/1404.7828v4.pdf
- cmu.edu/~tom
- vision.stanford
- ai.nvidia
- yann-lecun
- introtodeeplearning
- course.fast.ai
- deeplearning.cs.cmu.fall.2018
- AI in 2018 for researchers
- Supervised Learning cheatsheet
- Deep Learning cheatsheet
- Unsupervised Learning cheatsheet
- Machine Learning tips and tricks cheatsheet
- IBM code patterns
- fast-style-transfer
- tensorflow-fcn
- SSD-Tensorflow
- FastMaskRCNN
- reinforcement-learning
- Creative Applications of Deep Learning with TensorFlow
- Deep Learning: Which Loss and Activation Functions should I use?
- AI in 2018 for developers
- image-kernels
- Over 150 of the Best Machine Learning, NLP, and Python Tutorials I’ve Found
- ml-cheatsheet
- int8
- An end to end implementation of a Machine Learning pipeline
- Google Colab Free GPU Tutorial
- Train Your Machine Learning Models on Google’s GPUs for Free — Forever
- Google’s AutoML will change how businesses use Machine Learning
- Machine Learning for Intelligent Systems
Github
AI
Latest
- dsc-lambda-functions-lab-online-ds-pt-071519
- pyfolio
- raccoon_dataset
- MachineLearningNotebooks
- awesome-architecture
- Chinese-BERT-wwm
- football
- fairseq - Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
- antialiased-cnns
- ModelArts-Lab - ModelArts开发者交流互动平台，@ModelArts服务官网：https://www.huaweicloud.com/product/modelarts.html
- introtodeeplearning_labs
- cufflinks - Productivity Tools for Plotly + Pandas
- yolov3 - YOLOv3 in PyTorch > ONNX > CoreML > iOS https://www.ultralytics.com
- Automagica - Open Source (Smart) Robotic Process Automation https://automagica.be
- d2l-pytorch
- pytorch-image-models
- Real-Time-Voice-Cloning
- pytorch-transformers
- WaveRNN
- onnxruntime
- The-Flask-Mega-Tutorial-zh
- OmniNet
- awesome-production-machine-learning
- industry-machine-learning
- learn-co-students
- zstd - Zstandard - Fast real-time compression algorithm http://www.zstd.net
- Apollo-11 - Original Apollo 11 Guidance Computer (AGC) source code for the command and lunar modules.
- python_autocomplete
- insightface - Face Analysis Project on MXNet
- conference_call_for_paper - 2019-2020 International Conferences in Artificial Intelligence, Machine Learning, Computer Vision, Data Mining, Natural Language Processing and Robotics
- SAGPool
- zipline - Zipline, a Pythonic Algorithmic Trading Library http://www.zipline.io/
- DeepLearningZeroToAll
- LiteratureDL4Graph
- RLTrader
- random-network-distillation
- deepmind/abstract-reasoning-matrices
- semi-memory
- algorithm-visualizer
- awesome-kubernetes
- Deep-Reinforcement-Learning-Algorithms-with-PyTorch
- the-art-of-command-line
- rl_algorithms
- few-shot-ssl-public
- DGN
- numpy-ml - Machine learning, in numpy
- Pothole-Detection
- metatron-discovery
- DeepLearning-500-questions
- facebookresearch/dlrm - An implementation of a deep learning recommendation model (DLRM)
- xlnet-pytorch
- ai-platform-samples
- DeepNude-an-Image-to-Image-technology
- open-deepnude
- machine_learning_examples
- Learn-Natural-Language-Processing-Curriculum
- Cookbook - The Data Engineering Cookbook https://andreaskretz.com/
GCP
- cloudml-samples - Cloud ML Engine is now a part of AI Platform https://cloud.google.com/ml-engine/docs/
- data-science-on-gcp
- awesome-gcp-certifications
- ml-on-gcp
- Data-Engineering-on-GCP-Cheatsheet
- GoogleCloudArchitectProfessional
- ata-engineering-gcp
- gcp-datastore-cloud-functions-realworld-example-app
- https://google.qwiklabs.com/
- GCP-Data-Engineer-Study-Guide
- https://github.com/GoogleCloudPlatform
- google-cloud-4-words
- https://cloud.google.com/docs/tutorials
- microsoft/MASS
- MonocularTotalCapture
- analytics-zoo
- revisiting-self-supervised
- tensorrt-inference-server
- dataquestio/solutions - Solutions for projects.
- QuantumKatas - Programming exercises for learning Q# and quantum computing
- Hands-On-Intelligent-Agents-with-OpenAI-Gym
- ICML2019-TREX
- formation-deep-learning
- STEAL
- security-bulletins
- industry-machine-learning - A curated list of applied machine learning and data science notebooks and libraries across different industries.
- Real-Time-Voice-Cloning
- fbctf-2019-challenges
- instagram-scraper
- xlnet - XLNet: Generalized Autoregressive Pretraining for Language Understanding
- Hybrid_Attention_XML - Pytorch codes for "Label-aware Document Representation via Hybrid Attention for Extreme Multi-Label Text Classification"
- LGM-Net - Tensorflow code for ICML 2019 paper: LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning
- MLPrimitives - Pipelines and primitives for machine learning and data science.
- libra/libra - Libra’s mission is to enable a simple global currency and financial infrastructure that empowers billions of people. https://libra.org
- DeepFaceLab - DeepFaceLab is a tool that utilizes machine learning to replace faces in videos. Includes prebuilt ready to work standalone Windows 7,8,10 binary (look readme.md).
- WWDC - You don't have the time to watch all the WWDC session videos yourself? No problem I extracted the gist for you
🥳 - noisereduce - Noise reduction / speech enhancement for python using spectral gating
- darknet - Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores are used) http://pjreddie.com/darknet/
- openpilot - open source driving agent https://comma.ai/
- Repo-2019 - BERT, AWS RDS, AWS Forecast, EMR Spark Cluster, Hive, Serverless, Google Assistant + Raspberry Pi, Infrared, Google Cloud Platform Natural Language, Anomaly detection, Tensorflow, Mathematics
- asteroids_atlas_of_space - Code, data, and instructions for mapping orbits of asteroids in the solar system
- Automagica - Open Source (Smart) Robotic Process Automation https://automagica.be
- kubernetes-failure-stories - Compilation of public failure/horror stories related to Kubernetes https://k8s.af
- sagify - Continuous Machine Learning Training and Deployment on AWS SageMaker https://kenza-ai.github.io/sagify/
- deep-learning-guide - An evolving guide to learning Deep Learning effectively.
- fullstack - React/ApolloGraphQL/Node/Mongo demo written in Typescript
- rl_algorithms - Structural implementation of RL key algorithms https://www.medipixel.io/
- mushroom
- alf
- GPT2
- football
- CVPR-2019-Paper-Statistics - Statistics and Visualization of acceptance rate, main keyword of CVPR 2019 accepted papers for the main Computer Vision conference (CVPR)
ODE's
- ytorch-PPUU
- data-mining-conferences
- Muti-branch-DDPG-CARLA
- gpt-2-output-dataset
- Neural-Architecture-Search
- RL-Quadcopter-2
- NVIDIA/waveglow
- CADA-VAE-PyTorch
- self-driving-truck - Self-Driving Truck in Euro Truck Simulator 2, trained via Reinforcement Learning
- phd-bibliography - References on Optimal Control, Reinforcement Learning and Motion Planning
- Hands-On-Intelligent-Agents-with-OpenAI-Gym
- TD3-PyTorch-BipedalWalker-v2
- BayesianDefense
- AB_distillation
- TPN
- xg2xg
- gobot
- MADRaS
- Copulas
- CrowdNav
- pytorch-lightning
- pt.darts
- mlcourse
- dm2gym
- imitation
- GraphConv4MARL
- learning-to-communicate-pytorch
- cadrl_ros
- reinforcement-learning-kr
- tensorflow_RL
- OpenMined/PySyft - A library for encrypted, privacy preserving deep learning
- deeplearning-models - A collection of various deep learning architectures, models, and tips
- awesome-interpretable-machine-learning
- Reinforcement_Learning_in_Python
- tensorflow/graphics
- EfficientNet-PyTorch
- pytorch-image-models - PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MobileNet-V3/V2/V1, MNASNet, Single-Path NAS, FBNet, and more
- medium-to-own-blog - Switch from Medium to your own blog in a few minutes
- pytorch/xla - PyTorch For TPU
- ljpzzz/machinelearning - My blogs and code for machine learning. http://cnblogs.com/pinard
- aws-deepracer-workshops
- udacity/private-ai - Repo for Udacity's Secure & Private AI course
- SATNet
- MLiterature
- ICML2019-TREX
- ICLR2019-RL-Papers
- tensorflow/tpu - Reference models and tools for Cloud TPUs. https://cloud.google.com/tpu/
- basis_universal - Basis Universal GPU Texture Codec
- facebookresearch/pythia - A modular framework for vision & language multimodal research from Facebook AI Research (FAIR) https://learnpythia.readthedocs.io/
- microsoft/SPTAG
- Data-Science--Cheat-Sheet - Cheat Sheets
- single-parameter-fit - Real numbers, data science and chaos: How to fit any dataset with a single parameter
- facebook/Ax - Adaptive Experimentation Platform https://ax.dev
- SimpleSelfAttention
- tensorwatch
- ai-edu - AI education materials for Chinese students, teachers and IT professionals.
- augmented-neural-odes
- stanford-cs-221-artificial-intelligenc
- videoflow
- Network_Science_Meets_Deep_Learning - Designing Deep neural network architectures using topologies from the world of Complex Networks/network Science
- techniques
- Data-Science--Cheat-Sheet
- spinning-up-basic - Basic versions of agents from Spinning Up in Deep RL written in PyTorch
- info8010-deep-learning
- fklearn
- GraphConv4MARL
- openai/sparse_attention - Examples of using sparse attention, as in "Generating Long Sequences with Sparse Transformers"
- fklearn - fklearn: Functional Machine Learning
- linux-network-performance-parameters - Learn where some of the network sysctl variables fit into the Linux/Kernel network flow
- Interesting-python
- manim - Animation engine for explanatory math videos
- meta-transfer-learning-tensorflow - The TensorFlow implementation for "Meta-Transfer Learning for Few-Shot Learning" https://mtl.yyliu.net/
- graph-based-deep-learning-literature
- awesome-ai-ml-dl
- neural-painters
- Microsoft/BosqueLanguage
- commit-messages-guide
- CornerNet-Lite - CornerNet-Lite: Training, Evaluation and Testing Code
- CVPR-2019-Paper-Statistics - Statistics and Visualization of acceptance rate, main keyword of CVPR 2019 accepted papers for the main Computer Vision conference (CVPR)
- meshroom - 3D Reconstruction Software http://alicevision.github.io
- CenterNet - Codes for our paper "CenterNet: Keypoint Triplets for Object Detection" .
- CenterNet - Object detection, 3D detection, and pose estimation using center point detection:
- pyodide - The Python scientific stack, compiled to WebAssembly https://alpha.iodide.io/notebooks/300/
- golang-developer-roadmap - Roadmap to becoming a Go developer in 2019
- spacy-course - Advanced NLP with spaCy: A free online course https://course.spacy.io
- Microsoft/BlingFire - A lightning fast Finite State machine and REgular expression manipulation library.
- Microsoft/EconML - ALICE (Automated Learning and Intelligence for Causation and Economics
- pytorch-Deep-Learning-Minicourse
- Jezzamonn/fourier - An Interactive Introduction to Fourier Transforms http://www.jezzamon.com/fourier
- pytorch-sentiment-analysis - Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
- IntelAI/tools - Intel AI Quantization Tools for TensorFlow
- intelai/models - Model Zoo for Intel® Architecture: contains Intel optimizations for running deep learning workloads on Intel® Xeon® Scalable processors
- pt.darts - PyTorch Implementation of DARTS: Differentiable Architecture Search
- awesome-rl - Reinforcement learning resources curated http://aikorea.org/awesome-rl
- Reinforcement-Learning-for-Self-Driving-Cars
- Stock-Prediction-Models - Gathers machine learning and deep learning models for Stock forecasting, included trading bots and simulations
- OUCML
- Cello - Higher level programming in C http://libcello.org/
- Neural_Differential_Equations
- tensorflow_chatbot
- Make_Money_with_Tensorflow_2.0
- Build-an-AI-Startup-with-PyTorch
- ImageNet-Adversarial-Training
- xg2xg
- stackshareio/awesome-stacks
- achael/eht-imaging
- dataset-distillation
- nationalsecurityagency.github.io
- tensorflow_v2
- FaceDetection-DSFD
- TensorFlow2.0Tutorials
- datascience
- Cheatsheetseries
- app-ideas
- Accenture/AmpliGraph
- AI_Startup_Prototype
- deepmind/mathematics_dataset
- tensorflow/mlir
- PyTorch-BigGraph
- Tencent/matrix - Matrix is a plugin style, non-invasive APM system developed by WeChat.
- hacl-star
- LanczosNetwork - Lanczos Network, Graph Neural Networks, Deep Graph Convolutional Networks, Deep Learning on Graph Structured Data, QM8 Quantum Chemistry Benchmark, ICLR 2019 http://arxiv.org/abs/1901.01484
- deepchem - Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology https://deepchem.io/
- plotly_express - Plotly Express - simple syntax for complex charts https://plotly.express
- cnn-exposed - Interpreting Convolutional Neural Network (CNN) Results.
- Virgilio - Your new Mentor for Data Science E-Learning.
- tfjs-examples - Examples built with TensorFlow.js https://js.tensorflow.org/
- allenai/PeerRead - Data and code for Kang et al., NAACL 2018's paper titled "A Dataset of Peer Reviews (PeerRead): Collection, Insights and NLP Applications"
- awesome-machine-learning-interpretability
- NLP-Models-Tensorflow - Gathers machine learning and Tensorflow deep learning models for NLP problems.
- image-super-resolution - Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
- automl-gs - Provide an input CSV and a target field to predict, generate a model + code to run it.
- cocoapi - COCO API - Dataset @ http://cocodataset.org/
- AudioNotebooks - Collection of notebooks and scripts related to audio processing and machine learning.
- jetbot - An educational AI robot based on NVIDIA Jetson Nano.
- interesting-python - Some interesting Python crawlers and data analysis projects
- pytorch-pretrained-BigGAN - A PyTorch implementation of BigGAN with pretrained weights and conversion scripts.
- x86-bare-metal-examples - Dozens of minimal operating systems to learn x86 system programming. Tested on Ubuntu 17.10 host in QEMU 2.10 and real hardware. Userland cheat at: https://github.com/cirosantilli/x86-assembly-cheat ARM baremetal setup at: https://github.com/cirosantilli/linux-kernel-module-cheat#baremetal-setup
- paper-tips-and-tricks - Best practice and tips & tricks to write scientific papers in LaTeX, with figures generated in Python or Matlab.
- SPADE
- astool - Augmented environments with RL
- Machine-Learning-Study-Path-March-2019 - A complete ML study path, focused on TensorFlow and Scikit-Learn
- DeepLearning-500-questions
- the-craft-of-selfteaching - One has no future if one couldn't teach themself.
- MatchZoo - Facilitating the design, comparison and sharing of deep text matching models.
- tf2_course - Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course
- MobilePose-pytorch - Light-weight Single Person Pose Estimator
- TensorFlow2.0Tutorials - TensorFlow 2.0 Tutorials and Examples, CNN, RNN, GAN tutorials, etc. TF 2.0版入门实例代码，实战教程。
- pggraphblas - High Performance Graph Processing with Postgres and GraphBLAS
- libfacedetection - An open source library for face detection in images. The face detection speed can reach 1500FPS.
- awesome-personal-blogs - A delightful list of personal tech blogs
- awesome-self-supervised-learning - A curated list of awesome Self-Supervised methods
- visdat - Preliminary Exploratory Visualisation of Data http://visdat.njtierney.com/
- 2019_datathon - R-Ladies Philly 2019 Community Data Project: PAWS
- ppnp - PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank". https://www.kdd.in.tum.de/ppnp
- dynamic-KG - Dynamic (Temporal) Knowledge Graph Completion (Reasoning)
- awesome-r - A curated list of awesome R frameworks, libraries and software.
- vrhk.github.io
- openai/gpt-2 - Code for the paper "Language Models are Unsupervised Multitask Learners"
- NationalSecurityAgency/ghidra
- modeleval - A simple tool for generating useful evaluation metrics and plots for machine learning models
- one-network-many-uses - Four-in-one deep network: image search, image captioning, similar words and similar images using a single model
- Lihang - Statistical learning methods, 统计学习方法 [李航] 值得反复读. [笔记, 代码, notebook, 参考文献, Errata]
- maskscoring_rcnn - Codes for paper "Mask Scoring R-CNN".
- openai/neural-mmo - Neural MMO - A Massively Multiagent Game Environment
- m2cgen - Transform ML models into a native code (Java, C, Python, etc.) with zero dependencies
- lazynlp - Library to scrape and clean web pages to create massive datasets.
- wassdistance - Approximating Wasserstein distances with PyTorch
- AdaBound - An optimizer that trains as fast as Adam and as good as SGD.
- DLSchool/dlschool - The official repository of the Deep Learning Course (2018-2019) from the Deep Learning School at FPMI MIPT
- spark-syntax - This is an open repo of all the best practices of writing PySpark that I have learnt from working with the Framework.
- stylegan-encoder - StyleGAN Encoder - converts real images to latent space
- deepmind/neural-processes - The Neural Process Family
- tensorflow/lingvo - Lingvo is a framework for building neural networks in Tensorflow, particularly sequence models.
- PlotNeuralNet - Latex code for making neural networks diagrams
- lascar - Ledger's Advanced Side-Channel Analysis Repository
- Tensorflow-Cookbook - Simple Tensorflow Cookbook for easy-to-use
- pytorch-handbook - pytorch handbook
- GoogleCloudPlatform/microservices-demo
- Tensorflow-Cookbook
- deepfakes/faceswap - Non official project based on original /r/Deepfakes thread. Many thanks to him!
- google-research/planet - Deep Planning Network: Control from pixels by latent planning with learned dynamics
- openai/gpt-2 - Code for the paper "Language Models are Unsupervised Multitask Learners"
- Web-Data-Scraping-S2019
- generative_adversarial_networks_101
- Eye_Correction_GAN
- Advanced-R-Solutions
- Delving-deep-into-GANs -
📈 A curated list of Generative Adversarial Networks (GANs) resources sorted by reputation - ICLR2019-OpenReviewData - Crawl data from ICLR 2019 OpenReview webpage
- info8010-deep-learning
- COMS4995-s19
- Recommenders
- NLP-with-Python
- stat479-deep-learning-ss19
- pytorch-pretrained-BERT
- stylegan - StyleGAN - Official TensorFlow Implementation
- deep-learning-drizzle - Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
- nlp-tutorial - Natural Language Processing Tutorial for Deep Learning Researchers
- stanfordnlp/stanfordnlp - Official Stanford NLP Python Library for Many Human Languages
- aresdb - A GPU-powered real-time analytics storage and query engine. https://eng.uber.com/aresdb/
- One-shot-Relational-Learning - Code for One-shot Relational Learning for Knowledge Graphs
- vqa-project - Code for our paper: Learning Conditioned Graph Structures for Interpretable Visual Question Answering
- convex_adversarial - A method for training neural networks that are provably robust to adversarial attacks.
- jupyter-Kqlmagic - Extension (Magic) to Jupyter notebook and Jupyter lab, that enable notebook experience working with Kusto, ApplicationInsights, and LogAnalytics data.
- LASER - Language-Agnostic SEntence Representations
- genetic_deep_learning - Genetic Deep Learning
- graph-tutorial.pytorch - Pytorch Tutorial for Non-Euclidean Graph Representations
- Papers-Literature-ML-DL-RL-AI - Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
- Neural_Differential_Equations - This is the code for "Neural DIfferential Equations" By Siraj Raval on Youtube
- calebwin/pipelines - framework & language for scripting massively parrallel pipelines with Python
- satellite-image-deep-learning - Resources for performing deep learning on satellite imagery
- facebookincubator/spectrum - A client-side image transcoding library. https://libspectrum.io
- alibaba/euler - A distributed graph deep learning framework.
- indigo-player - Highly extensible, modern, JavaScript video player. Handles MPEG-Dash / HLS / MPEG-4 and is built on top of the HTML5 video element. https://matvp91.github.io/indigo-player/
- howmanypeoplearearound - Count the number of people around you
👨👨👦 by monitoring wifi signals📡 - ObjectDetection-OneStageDet -
- dtreeviz - A python library for decision tree visualization and model interpretation.
- fourier - An Interactive Introduction to Fourier Transforms http://www.jezzamon.com/fourier
- deep-learning-ocean -
📡 All You Need to Know About Deep Learning - A kick-starter - nlp_with_pytorch - Natural Language Processing with PyTorch
- nsfw_data_scrapper - Collection of scripts to aggregate image data for the purposes of training an NSFW Image Classifier
- tf2_course - Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course
- transformer-xl
- uber-research/atari-model-zoo
- NeuralDater - ACL 2018: Dating Documents using Graph Convolution Networks
- NeurIPS-2018-papers - Machine-generated summaries and highlights of the every accepted paper at Thirty-second Conference on Neural Information Processing Systems 2018. Generated with the Scholarcy Highlights API
- KDD2018_MPCN - Code for our KDD 2018 Paper "Multi-Pointer Co-Attention Networks for Recommendation"
- capsule-net-pytorch - A PyTorch implementation of CapsNet architecture in the NIPS 2017 paper "Dynamic Routing Between Capsules".
- mister_ed - Pytorch Adversarial Attack Framework
- nevergrad - A Python toolbox for performing gradient-free optimization
- sketch_rnn_keras - Keras implementation of Sketch RNN
- nefarious-linkedin - A look at how LinkedIn spies on its users.
- harvardnlp/namedtensor - Proof of concept for a dynamic named tensor for pytorch http://nlp.seas.harvard.edu/NamedTensor
- deeptraffic - DeepTraffic is a deep reinforcement learning competition, part of the MIT Deep Learning series.
- edge-connect - EdgeConnect: Generative Image Inpainting with Adversarial Edge Learning. https://arxiv.org/abs/1901.00212
- uncaptcha2 - defeating the latest version of ReCaptcha with 91% accuracy http://uncaptcha.cs.umd.edu/
- pose_estimation_CVPR_ECCV_2018
- Microsoft/Recommenders - Recommender Systems
- DL-workshop-series - Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)
- flair - A very simple framework for state-of-the-art Natural Language Processing (NLP)
- intel-analytics/analytics-zoo - Distributed Tensorflow, Keras and BigDL on Apache Spark https://analytics-zoo.github.io
- Stanford-Machine-Learning-camp
- lihang-code
- Neural-Network-from-scratch - Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?
- Reinforcement-Learning-Notebooks - A collection of Reinforcement Learning algorithms from Sutton and Barto's book and other research papers implemented in Python.
- artificial-intelligence-for-trading - Content for Udacity's AI in Trading NanoDegree. https://www.udacity.com/course/nd880
- t81_558_deep_learning - Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
- IBM/coursera
- libpostal - A C library for parsing/normalizing street addresses around the world. Powered by statistical NLP and open geo data.
- MT-Reading-List - A machine translation reading list maintained by Tsinghua Natural Language Processing Group
- Super-SloMo
- cocoapi - COCO API - Dataset @ http://cocodataset.org/
- adanet - Fast and flexible AutoML with learning guarantees.
- StaticGIFGen
- mars - Mars is a tensor-based unified framework for large-scale data computation.
- torchgan - Research Framework for easy and efficient training of GANs based on Pytorch
- GNNPapers - Must-read papers on graph neural network (GNN)
- awesome-python-applications -
💿 Free software that works great, and also happens to be open-source Python. ftp://you:[email protected]#readme - ds-cheatsheets - List of Data Science Cheatsheets to rule the world
- netcap - A framework for secure and scalable network traffic analysis
- homemade-machine-learning - Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
- alibaba/x-deeplearning - An industrial deep learning framework for high-dimension sparse data
- trellisnet - Trellis Networks for Sequence Modeling
- demo2program - An official TensorFlow implementation of "Neural Program Synthesis from Diverse Demonstration Videos" (ICML 2018) by Shao-Hua Sun, Hyeonwoo Noh, Sriram Somasundaram, and Joseph J. Lim
- uber-research/atari-model-zoo - A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release that enables easy visualization and analysis of models, and comparison across training algorithms.
- fast-artistic-videos - Video style transfer using feed-forward networks.
- torchdiffeq - Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
- FavoritePapers -
- openai/coinrun - Code for the paper "Quantifying Transfer in Reinforcement Learning" https://blog.openai.com
- CollaborativeMemoryNetwork - Collaborative Memory Network for Recommendation Systems, SIGIR 2018
- feudal-montezuma - Pytorch implementation of "FeUdal Networks for Hierarchical Reinforcement Learning" for Montezuma's Revenge
- neural-collage - Collaging on Internal Representations: An Intuitive Approach for Semantic Transfiguration
- capsule-networks - A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules". https://arxiv.org/abs/1710.09829
- google/jax - Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
- Neural-Ordinary-Differential-Equations - Sample implementation of Neural Ordinary Differential Equations
- confluo - Real-time Monitoring and Analysis of Data Streams https://ucbrise.github.io/confluo/
- Deep-Neural-Networks-HealthCare - Tangible and Practical Deep Learning Projects Repository for Healthcare such as Cancer, Drug Discovery, Genomic and More
- photomosaic - Creating fun photomosaics, GIFs, and murals from your family pictures using ML & similarity search (http://photofun.strikingly.com)
- torchdiffeq - Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
- facebookresearch/pytext - A natural language modeling framework based on PyTorch https://fb.me/pytextdocs
- practicalAI - A practical approach to learning machine learning.
- DeepCreamPy
- DeOldify
- adanet
- graph_nets
- MAMEToolkit
- PocketFlow
- video-to-ascii
- sourcegraph
- Microsoft/Ethr
- mss_pytorch
- VirtualtoReal-RL
- fast-artistic-videos
- blocksparse
- vime
- self-imitation-learning
- MANet_for_Video_Object_Detection
- NVIDIAGameWorks/PhysX-3.4
- Me_Bot
- MSG-GAN
NIPS 2018
- PointCNN
- n3net
- cgnl-network.pytorch
- OneShotTranslation
- NIPS2018
- SEAL
- AttentionConvLSTM
- NIPS2018_DECAPROP
- generalize-unseen-domains
- tpprl
- adversarial-object-removal
- Batch_Instance_Normalization-Tensorflow
- Frequency-Agnostic
- NIPS2018_RCRN
- DDPAE-video-prediction
- kernel-mod
- nips2018-agent
- NIPS-2018-Adversarial-Vision-Challenge
- Robust-Conditional-GAN
- CDAN-re-implement
- nips2018survey
- https://nips2018url.github.io/
- nips-2018-ai-for-prosthetics-challenge
- Microsoft/onnxjs - ONNX.js: run ONNX models using JavaScript
- osim-rl-helper - Helper for NIPS 2018 Challenge: AI for Prosthetics
- awslabs/amazon-sagemaker-examples - Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker
- d2l-en - Dive into Deep Learning (CV chapters coming soon) https://en.diveintodeeplearning.org
- stanford-cs-230-deep-learning - VIP cheatsheets for Stanford's CS 230 Deep Learning
- CSAILVision/gandissect - Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/
- 3DDFA - The pytorch improved re-implementation of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.
- tencent-ml-images - Largest multi-label image database; ResNet-101 model; 80.73% top-1 acc on ImageNet
- practical-cryptography-for-developers-book - Practical Cryptography for Developers: Hashes, MAC, Key Derivation, DHKE, Symmetric and Asymmetric Ciphers, Elliptic Curves, Digital Signatures https://cryptobook.nakov.com
- http3-explained - A document describing the HTTP/3 and QUIC protocols https://daniel.haxx.se/http3-explained/
- facebook/zstd - Zstandard - Fast real-time compression algorithm http://www.zstd.net
- self_driving_pi_car - A deep neural network based self-driving car, that combines Lego Mindstorms NXT with the computational power of a Raspberry Pi 3.
- Tiramisu-keras - Tiramisu — One hundred layers
- PyTorch-GAN - PyTorch implementations of Generative Adversarial Networks.
- pytorch-summary - Model summary in PyTorch similar to
model.summary()in Keras - 10-steps-to-become-a-data-scientist - In this repository, we want to review 10 skills as data scientist: Machine Learning, Deep Learning, Data Cleaning, EDA, Learn Python, Learn python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve real problem for instance predict house prices
- deep-learning-v2-pytorch - Projects and exercises for the latest Deep Learning ND program
- hmtl - HMTL: Hierarchical Multi-Task Learning
- torchdiffeq - Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
- yandexdataschool - Yandex School of Data Analysis
- cpp-compilation - A short description of the C++ build process
- nlp_course - YSDA course in Natural Language Processing
- tensorspace - Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained deep learning models from TensorFlow, Keras, TensorFlow.js https://tensorspace.org
- deep-rules - Ten Simple Rules for Deep Learning in Biology
- openai/spinningup - An educational resource to help anyone learn deep reinforcement learning.
- funNLP
- awesome-graph-embedding
- awesome-deep-learning-music - List of articles related to deep learning applied to music
- Rochester-NRT/RocAlphaGo - An independent, student-led replication of DeepMind's 2016 Nature publication, "Mastering the game of Go with deep neural networks and tree search" (Nature 529, 484-489, 28 Jan 2016), details of which can be found on their website https://deepmind.com/publications.html.
- openface - Face recognition with deep neural networks. http://cmusatyalab.github.io/openface/
- pytorch-pretrained-BERT - PyTorch version of Google AI's BERT model with script to load Google's pre-trained models
- awful-ai - Awful AI is a curated list to track current scary usages of AI - hoping to raise awareness
- Tencent/tencent-ml-images - Largest multi-label image database; ResNet-101 model; 80.73% top-1 acc on ImageNet
- blueoil - Bring Deep Learning to small devices https://blue-oil.org
- AlphaAI - Use unsupervised and supervised learning to predict stocks
- Ngx - Ngx - Neural network based visual generator and mixer
- albumentations - fast image augmentation library and easy to use wrapper around other libraries https://arxiv.org/abs/1809.06839
- uber/petastorm - Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.
- holodeck - High Fidelity Simulator for Reinforcement Learning and Robotics Research. https://holodeck.cs.byu.edu
- sotawhat - Returns latest research results by crawling arxiv papers and summarizing abstracts. Helps you stay afloat with so many new papers everyday.
- MAMEToolkit - A Python toolkit used to train reinforcement learning algorithms against arcade games
- intel-analytics/analytics-zoo - Distributed Tensorflow, Keras and BigDL on Apache Spark https://analytics-zoo.github.io
- DeOldify - A Deep Learning based project for colorizing and restoring old images
- YouMayNotNeedAttention
- axiom - A powerful realtime node-based audio synthesizer.
- Tencent/PocketFlow - An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.
- facebookresearch/Horizon - A platform for Applied Reinforcement Learning (Applied RL)
- google-research/bert - TensorFlow code and pre-trained models for BERT https://arxiv.org/abs/1810.04805
- tensorflow/adanet - Fast and flexible AutoML with learning guarantees.
- maskrcnn-benchmark - Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
- practical-pytorch - PyTorch tutorials demonstrating modern techniques with readable code
- DeepReinforcementLearning - A replica of the AlphaZero methodology for deep reinforcement learning in Python
- Practical_RL - A course in reinforcement learning in the wild
- Practical_DL - DL course co-developed by HSE, YSDA and Skoltech
- ILearnDeepLearning.py -This repository contains small projects related to Neural Networks and Deep Learning in general. Subject are closely linekd with articles I publish on Medium. I encourage you both to read as well as to check how the code works in the action. https://medium.com/@piotr.skalski92
- jupytext - ter notebooks as Markdown documents, Julia, Python or R scripts
- transparent_latent_gan - Use supervised learning to illuminate the latent space of GAN for controlled generation and edit
- nlp_course - YSDA course in Natural Language Processing
- Learn_Data_Science_in_3_Months - This is the Curriculum for "Learn Data Science in 3 Months" By Siraj Raval on Youtube
- DeepCreamPy - Decensoring Hentai with Deep Neural Networks
- awesome-embedding-models
- Machine-Learning-for-Finance
- facebookresearch/maskrcnn-benchmark - Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
- DeepLearningProject - An end to end tutorial of a machine learning pipeline from Harvard
- aleph_star - Reinforcement learning with A* and a deep heuristic
- presentations
- fastai/course-v3 - The 3rd edition of course.fast.ai - coming in 2019
- DeepLearning-500-questions
- magenta-demos - Demonstrations of Magenta Models
- TGS-SaltNet - Kaggle | 22nd place solution for TGS Salt Identification Challenge
- deepmind/trfl - TensorFlow Reinforcement Learning
- data-science-complete-tutorial - Notebooks to learn data science - Videos https://www.edyoda.com/resources/videolisting/1416/
- deepmind/graph_nets -
- Awesome-pytorch-list - A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
- probability - Probabilistic reasoning and statistical analysis in TensorFlow https://www.tensorflow.org/probability/
- BERT-pytorch - Google AI 2018 BERT pytorch implementation
- tencent-ml-images - Largest multi-label image database; ResNet-101 model; 80.73% top-1 acc on ImageNet
- photoprism
- DeepMimic : Motion imitation with deep reinforcement learning.
- TensorFlow-World-Resources
- keras-resources: Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library
- google/active-qa
- Realtime_Multi-Person_Pose_Estimation : Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)
- advisor : Open-source implementation of Google Vizier for hyper parameters tuning https://advisor.readthedocs.io
- fastprogress: Simple and flexible progress bar for Jupyter Notebook and console
- al-go-rithms: Algorithms written in different programming languages - https://zoranpandovski.github.io/al-go-rithms/
- dl-imperial-maths: Code and assignment repository for the Imperial College Mathematics department Deep Learning course
- pygdf : Python GPU DataFrame Library http://rapids.ai
- quick-SQL-cheatsheet
- nvtop : NVIDIA GPUs htop like monitoring tool
- pytorch-coreml-example
- Azure/data-ai-iot: Readiness for Data and AI and IoT
- learnopencv : Learn OpenCV : C++ and Python Examples
- opencv.org/links
- synthetic_gradients_explained
- quantum_machine_learning
- Google_Dopamine_(LIVE)
- TPU_MachineLearning
-
- mpitutorial
- wheels : Performance-optimized wheels for TensorFlow (SSE, AVX, FMA, XLA, MPI)
- deepmind/conditional-neural-process
- deepmind/symplectic-gradient-adjustment
- NLP-with-Python : Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more
- ismir2018_tutorial : Deep Learning for Music Information Retrieval
- apricot :
- generative-models : Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN
- onnx/tutorials : Tutorials for using ONNX
- tvm : Open deep learning compiler stack for cpu, gpu and specialized accelerators https://tvm.ai
- Awesome-CoreML-Models : Largest list of models for Core ML (for iOS 11+)
- AI Residency Programs
- Awesome-pytorch-list
- Deep-Learning-World
- video-nonlocal-net
- Meetups-Data-AI-DFW : Content for Meetups for DATA & AI - Microsoft DFW
- cortana-intelligence-customer360
- deep_learning_object_detection
- pytorch-summary
- model-analysis
- MLInterview
- gym-maze
- twine : Utilities for interacting with PyPI
- microsoftLearning/Research-Methods-for-Data-Science-with-Python
- r-server-fraud-detection
- hindi2vec : State-of-the-Art Language Modeling and Text Classification in Hindi Language http://nirantk.com/hindi2vec
- nlp.js
- long-term-video-prediction-without-supervision
- Microsoft/ailab
- Hands-on Intelligent Agents with OpenAI Gym (HOIAWOG)
- pipeline : PipelineAI: Real-Time Enterprise AI Platform https://pipeline.ai
- coursera-natural-language-processing
- 60_Days_RL_Challenge
- Grokking-Deep-Learning
- deepbayes-2018
- Advanced-Deep-Learning-with-Keras
- salesforce/TransmogrifAI
- License-Plate-Detect-Recognition-via-Deep-Neural-Networks-accuracy-up-to-99.9 : Works in real-time with detection and recognition accuracy up to 99.8% for Chinese license plates: 100 ms/plate
- Kalman-and-Bayesian-Filters-in-Python : Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
- autokeras : This is an automated machine learning (AutoML) package. http://autokeras.com/
- 100-Days-Of-ML-Code
- easy-scraping-tutorial
- nn4nlp-code : Code Samples from Neural Networks for NLP
- deepvoice3_pytorch : PyTorch implementation of convolutional neural networks-based text-to-speech synthesis models
- PeerRead : Data and code for Kang et al., NAACL 2018's paper titled "A Dataset of Peer Reviews (PeerRead): Collection, Insights and NLP Applications"
- deep-voice-conversion : Deep neural networks for voice conversion (voice style transfer) in Tensorflow
- mil : Code for "One-Shot Visual Imitation Learning via Meta-Learning"
- missingno : Missing data visualization module for Python.
- deepmind/narrativeqa : The NarrativeQA Reading Comprehension Challenge Dataset
- stat-nlp-book : Interactive Lecture Notes, Slides and Exercises for Statistical NLP
- FinanceOps : Research in investment finance with Python Notebooks
- NAF-tensorflow : "Continuous Deep Q-Learning with Model-based Acceleration" in TensorFlow
- FC-DenseNet : Fully Convolutional DenseNets for semantic segmentation.
- PythonDataScienceHandbook
- Awesome-Design-Tools - The best design tools for everything
👉 https://flawlessapp.io/designtools - front-end-handbook-2019
Old
- udacity/deep-reinforcement-learning : Repo for the Deep Reinforcement Learning Nanodegree program
- Mask-RCNN : A PyTorch implementation of the architecture of Mask RCNN, serves as an introduction to working with PyTorch
- cascade-rcnn : Caffe implementation of multiple popular object detection frameworks
- google/data-transfer-project : The Data Transfer Project makes it easy for people to transfer their data between online service providers. We are establishing a common framework, including data models and protocols, to enable direct transfer of data both into and out of participating online service providers. http://datatransferproject.dev
- PythonRobotics : Python sample codes for robotics algorithms. https://atsushisakai.github.io/PythonRobotics/
- Grokking-Deep-Learning : this repository accompanies my forthcoming book "Grokking Deep Learning"
- mxnet-the-straight-dope : An interactive book on deep learning. Much easy, so MXNet. Wow. http://gluon.mxnet.io
- unet : unet for image segmentation
- tvm :Open deep learning compiler stack for cpu, gpu and specialized accelerators https://tvm.ai
- albumentations : fast image augmentation library and easy to use wrapper around other libraries
- Slides-SciPyConf-2018 : A repository for public storage of slides given at the 17th Python in Science Conferences (2018)
- probability : Probabilistic reasoning and statistical analysis in TensorFlow
- MATRIXAI : Matrix's AI research and related contents
- ansible-jupyter-kernel : Jupyter Notebook Kernel for running Ansible Tasks and Playbooks
- compare_gan : Compare GAN code
- serving : A flexible, high-performance serving system for machine learning models https://www.tensorflow.org/serving
- Detectron.pytorch : A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.
- distiller : Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller
- Improved_WGAN : Implementation of the "Improved Training of Wasserstein GANs" paper in TensorFlow
- docker-tensorflow-builder : Docker images to compile TensorFlow yourself.
- Attentive-Group-Recommendation : Atentive Group Recommendation
- mlens : ML-Ensemble – high performance ensemble learning http://ml-ensemble.com
- relaax : Reinforcement Learning framework to facilitate development and use of scalable RL algorithms and applications
- QuantumKatas
- tensorflow-without-a-phd : A crash course in six episodes for software developers who want to become machine learning practitioners.
- ML_Learning_In_Action : ML study process record
- PyTorch-Deep-Learning-Minicourse : Minicourse in Deep Learning with PyTorch
- pytorch-book : PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation
- CFDPython - A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/
- eva-icons - A pack of more than 480 beautifully crafted Open Source icons. SVG, Sketch, Web Font and Animations support. https://akveo.github.io/eva-icons/
- messenger-app-android
Others
- test-your-sysadmin-skills
- PacktPublishing
- react-developer-roadmap: Roadmap to becoming a React developer in 2018
- javascript-algorithms : Algorithms and data structures implemented in JavaScript with explanations and links to further readings
- Front-End-Performance-Checklist : The only Front-End Performance Checklist that runs faster than the others https://frontendchecklist.io(soon on)
- InterviewMap : Build the best interview map. The current content includes JS, network, browser related, performance optimization, security, framework, Git, data structure, algorithm, etc. https://yuchengkai.cn/docs/
- react-values : A set of tiny React components for handling state with render props.
- fathom:Fathom. Simple, trustworthy website analytics. Built with Golang & Preact. https://usefathom.com/
- graphql-engine : Blazing fast, instant GraphQL APIs on Postgres with fine grained access control https://hasura.io
- storybook
- Front-End-Checklist
- open-source-ideas
- data-science-question-answer
- nodebestpractices
- learn-python
- awesome-reactnative-ui
- ToolsOfTheTrade
- Python
- free-for-dev
- https-portal
- Python
- graphql-editor
- Advanced-React
- react-native-testing-library
- Hello-world
- 33-js-concepts
- awesome-actions
- omi - Next generation web framework in 4kb JavaScript (Web Components + JSX + Proxy + Store + Path Updating) http://omijs.org
- mio - Cross-platform header-only C++11 library for memory mapped file IO
- frontend-tech-list
- hardware-effects - Demonstration of various hardware effects.
- edex-ui - A science fiction terminal emulator designed for large touchscreens that runs on all major OSs.
- ncc - Node.js Compiler Collection
- Cyanea - A theme engine for Android
- the-book-of-secret-knowledge
- FAQGURU - A list of interview questions. This repository is everything you need to prepare for your technical interview.
- react-jsonschema-form - A React component for building Web forms from JSON Schema.
- jupytext - Jupyter notebooks as Markdown documents, Julia, Python or R scripts
- goldpinger - Debugging tool for Kubernetes which tests and displays connectivity between nodes in the cluster.
- nodebestpractices - The largest Node.JS best practices list (November 2018) https://twitter.com/nodepractices/
- awesome-golang-security - Awesome golang Security resources
- sherlock - Find usernames across over 75 social networks
- awesome-interview-questions - A curated awesome list of lists of interview questions. Feel free to contribute!
- Toshi - A full-text search engine in rust
- earth-reverse-engineering
- professional-programming
- d5/tengo - A fast script language for Go https://tengolang.com
- tinyraytracer - A brief computer graphics / rendering course
- kubernetes-failure-stories - Compilation of public failure/horror stories related to Kubernetes
- serverless-failure-stories - Compilation of public failure/horror stories related to Serverless, inspired by hjacobs/kubernetes-failure-stories
- Awesome-Game-Networking - A Curated List of Game Network Programming Resources
- the-practical-linux-hardening-guide -
⚡️ This guide details the planning and the tools involved in creating a secure Linux production systems - work in progress. - ARMmbed/littlefs - A little fail-safe filesystem designed for microcontrollers
- queueing_theory - Queueing theory: an introduction for software development
- awesome-mobile-web-development
- awesome-podcasts
- big-list-of-naughty-strings
- react-movable -
🔀 Drag and drop for your React lists and tables. Accessible. Tiny. - github-history
- react-testing-library
- How-To-Secure-A-Linux-Server - An evolving how-to guide for securing a Linux server.
- Awesome-Design-Tools - The best design tools for everything.
- awesome-startup-credits -
✨ A collection of awesome companies offering free/discounted plans for eligible startups - personal-website
- hacker-news-undocumented - Some of the hidden norms about Hacker News not otherwise covered in the Guidelines and the FAQ.
- libphonenumber - Google's common Java, C++ and JavaScript library for parsing, formatting, and validating international phone numbers.
- subsync - Automagically synchronize subtitles with video.
- Microsoft/frontend-bootcamp - Frontend Workshop from HTML/CSS/JS to TypeScript/React/Redux
- learn-anything - Organize world's knowledge, explore connections and curate learning paths https://learn-anything.xyz
- duckduckgo - DuckDuckGo Instant Answer Infrastructure http://duckduckhack.com/
- hacker101 - Hacker101 https://www.hacker101.com
- public-apis
- react-loops
AI Residency
- Google AI Residency Program [Link]. [Reddit Link 1], [Reddit Link 2]
- Microsoft AI Residency Program [Link] ,[Reddit Link 1]
- Microsoft NERD Artificial Intelligence Program [Link]
- Facebook AI Residency Program [Link], [ Reddit Link 1], [Reddit Link 2], [Reddit Link 3]
- Uber AI Residency [Link], [Reddit Link]
- PFN (Preferred Networks) AI residency program [Link]
- Fall NAVER Clova AI Research Global Residency Program [Link]
- OpenAI 2019 Winter Scholars [Link]
- Profile for Google AI Program [Link]
- My year at Brain.
- Google Brain Residency
- The Google Brain Residency Program - One Year Later
- Intel AI Residency
- NVIDIA AI Research Residency - 2019
- Academic, Research Positions in Big Data, Data Mining, Data Science, Machine Learning
- Meetings / Conferences on AI, Analytics, Big Data, Data Mining, Data Science, & Machine Learning
Google Research 2006 - 2014
- Google's Hybrid Approach to Research
- Google Research Picks for Videos of the Year - 2006
- The Continuing Metamorphosis Of the Web - 2009
- ACM Multimedia 2009 Grand Challenges
- Large-scale graph computing at Google
- Tour the World: building a web-scale landmark recognition engine
- App Inventor for Android
- The 50th Symposium on Foundations of Computer Science (FOCS) - 2009
- Research Areas of Interest: Building scalable, robust cluster applications - 2010
- outreach
- google-publications-2010
- Google North American Faculty Summit - cloud computing - 2010
- towards-energy-proportional-datacenters-2010
- Google Search by Voice: A Case Study
- Making an Impact on a Thriving Speech Research Community - 2010
- Google at the Conference on Empirical Methods in Natural Language Processing (EMNLP '2010)
- Find out what’s in a word, or five, with the Google Books Ngram Viewer
- More researchers dive into the digital humanities
- More Google Contributions to the Broader Scientific Community
- Google at ACL 2011
- Our first round of Google Research Awards for 2011
- Google at CVPR 2011
- Google Translate welcomes you to the Indic web
- President's Council Recommends Open Data for Federal Agencies
- Announcing Google-hosted workshop videos from NIPS 2011
- Excellent Papers for 2011
- Video Stabilization on YouTube
- Google, the World Wide Web and WWW conference: years of progress, prosperity and innovation
- Recap of NAACL-12 including two Best Paper awards for Googlers
- Google at SIGMOD/PODS 2012
- High Quality Object Detection at Scale
- Advances in Variational Inference: Working Towards Large-scale Probabilistic Machine Learning at NIPS 2014
- A picture is worth a thousand (coherent) words: building a natural description of images
- Building a deeper understanding of images
- Doing Data Science with coLaboratory
- Influential Papers for 2013
- Google joins the Global Alliance for Genomics and Health
- Moore’s Law, Part 1: Brief history of Moore's Law and current state
- Moore’s Law, Part 2: More Moore and More than Moore
- Moore’s Law, Part 3: Possible extrapolations over the next 15 years and impact
- Moore’s Law Part 4: Moore's Law in other domains
- Launching the Quantum Artificial Intelligence Lab - 2013
Google Research - 2015
- From Pixels to Actions: Human-level control through Deep Reinforcement Learning
- Large-Scale Machine Learning for Drug Discovery
- A step closer to quantum computation with Quantum Error Correction
- Beyond Short Snippets: Deep Networks for Video Classification
- Sergey and Larry awarded the Seoul Test-of-Time Award from WWW 2015
- Google Computer Vision research at CVPR 2015
- Inceptionism: Going Deeper into Neural Networks
- DeepDream - a code example for visualizing Neural Networks
- ICML 2015 and Machine Learning Research at Google
- Simulating fermionic particles with superconducting quantum hardware
- How Google Translate squeezes deep learning onto a phone
- The neural networks behind Google Voice transcription
- KDD 2015 Best Research Paper Award: “Algorithms for Public-Private Social Networks”
- VLDB 2015 and Database Research at Google
- Crowdsourcing a Text-to-Speech Voice for Low-Resource Languages (Episode 1)
- Google voice search: faster and more accurate
- Improving YouTube video thumbnails with deep neural nets
- Computer, respond to this email.
- TensorFlow - Google’s latest machine learning system, open sourced for everyone
- NIPS 2015 and Machine Learning Research at Google
- How to Classify Images with TensorFlow
- Text-to-Speech for Low-Resource Languages (Episode 2): Building a Parametric Voice
- Four years of Schema.org - Recent Progress and Looking Forward
Google Research - 2016
- Robust-Multitask-RL
- AlphaGo: Mastering the ancient game of Go with Machine Learning
- Running your models in production with TensorFlow Serving
- Text-to-Speech for Low-Resource Languages (Episode 3): But can it say “Google”?
- Exploring the Intersection of Art and Machine Intelligence
- On the Personalities of Dead Authors
- Deep Learning for Robots: Learning from Large-Scale Interaction
- Train your own image classifier with Inception in TensorFlow
- Machine Learning in the Cloud, with TensorFlow
- Announcing TensorFlow 0.8 – now with distributed computing support!
- DeepMind moves to TensorFlow
- Research at Google and ICLR 2016
- Announcing SyntaxNet: The World’s Most Accurate Parser Goes Open Source
- ICML 2016 & Research at Google
- Bringing Precision to the AI Safety Discussion
- CVPR 2016 & Research at Google
- Wide & Deep Learning: Better Together with TensorFlow
- ACL 2016 & Research at Google
- Meet Parsey’s Cousins: Syntax for 40 languages, plus new SyntaxNet capabilities
- Text summarization with TensorFlow
- TF-Slim: A high level library to define complex models in TensorFlow
- Improving Inception and Image Classification in TensorFlow
- Announcing the First Annual Global PhD Fellowship Summit and the 2016 Google PhD Fellows
- The 280-Year-Old Algorithm Inside Google Trips
- Show and Tell: image captioning open sourced in TensorFlow
- A Neural Network for Machine Translation, at Production Scale
- Announcing YouTube-8M: A Large and Diverse Labeled Video Dataset for Video Understanding Research
- Image Compression with Neural Networks
- Introducing the Open Images Dataset
- How Robots Can Acquire New Skills from Their Shared Experience
- Graph-powered Machine Learning at Google
- Equality of Opportunity in Machine Learning
- Supercharging Style Transfer
- Celebrating TensorFlow’s First Year
- Enhance! RAISR Sharp Images with Machine Learning
- Zero-Shot Translation with Google’s Multilingual Neural Machine Translation System
- Deep Learning for Detection of Diabetic Eye Disease
- NIPS 2016 & Research at Google
- Open sourcing the Embedding Projector: a tool for visualizing high dimensional data
Google Research - 2017
- Google Brain Residency Program - 7 months in and looking ahead
- The Google Brain Team — Looking Back on 2016
- A Large Corpus for Supervised Word-Sense Disambiguation
- Facilitating the discovery of public datasets
- App Discovery with Google Play, Part 3: Machine Learning to Fight Spam and Abuse at Scale
- Using Machine Learning to Predict Parking Difficulty
- Advancing Research on Video Understanding with the YouTube-BoundingBoxes Dataset
- Announcing TensorFlow Fold: Deep Learning With Dynamic Computation Graphs
- On-Device Machine Intelligence
- Announcing TensorFlow 1.0
- An updated YouTube-8M, a video understanding challenge, and a CVPR workshop. Oh my!
- Preprocessing for Machine Learning with tf.Transform
- Assisting Pathologists in Detecting Cancer with Deep Learning
- Quick Access in Drive: Using Machine Learning to Save You Time
- An Upgrade to SyntaxNet, New Models and a Parsing Competition
- Distill: Supporting Clarity in Machine Learning
- Adding Sound Effect Information to YouTube Captions
- Announcing AudioSet: A Dataset for Audio Event Research
- Federated Learning: Collaborative Machine Learning without Centralized Training Data
- Predicting Properties of Molecules with Machine Learning
- Introducing tf-seq2seq: An Open Source Sequence-to-Sequence Framework in TensorFlow
- Teaching Machines to Draw
- Research at Google and ICLR 2017
- Updating Google Maps with Deep Learning and Street View
- Neural Network-Generated Illustrations in Allo
- Coarse Discourse: A Dataset for Understanding Online Discussions
- Using Machine Learning to Explore Neural Network Architecture
- Efficient Smart Reply, now for Gmail
- Introducing the TensorFlow Research Cloud
- The Machine Intelligence Behind Gboard
- MobileNets: Open-Source Models for Efficient On-Device Vision
- Supercharge your Computer Vision models with the TensorFlow Object Detection API
- Accelerating Deep Learning Research with the Tensor2Tensor Library
- MultiModel: Multi-Task Machine Learning Across Domains
- The Google Brain Residency Program — One Year Later
- Revisiting the Unreasonable Effectiveness of Data
- Building Your Own Neural Machine Translation System in TensorFlow
- Using Deep Learning to Create Professional-Level Photographs
- Facets: An Open Source Visualization Tool for Machine Learning Training Data
- Google at CVPR 2017
- Teaching Robots to Understand Semantic Concepts
- Google at ACL 2017
- Google at ICML 2017
- Harness the Power of Machine Learning in Your Browser with Deeplearn.js
- Making Visible Watermarks More Effective
- Announcing the NYC Algorithms and Optimization Site
- Google at KDD’17: Graph Mining and Beyond
- Launching the Speech Commands Dataset
- Exploring and Visualizing an Open Global Dataset
- Transformer: A Novel Neural Network Architecture for Language Understanding
- Seminal Ideas from 2007
- Build your own Machine Learning Visualizations with the new TensorBoard API
- Highlights from the Annual Google PhD Fellowship Summit, and Announcing the 2017 Google PhD Fellows
- The Google Brain Team’s Approach to Research
- TensorFlow Lattice: Flexibility Empowered by Prior Knowledge
- Announcing AVA: A Finely Labeled Video Dataset for Human Action Understanding
- Announcing OpenFermion: The Open Source Chemistry Package for Quantum Computers
- Closing the Simulation-to-Reality Gap for Deep Robotic Learning
- Eager Execution: An imperative, define-by-run interface to TensorFlow
- Latest Innovations in TensorFlow Serving
- AutoML for large scale image classification and object detection
- Tangent: Source-to-Source Debuggable Derivatives
- Feature Visualization
- On-Device Conversational Modeling with TensorFlow Lite
- SLING: A Natural Language Frame Semantic Parser
- Understanding Medical Conversations
- Interpreting Deep Neural Networks with SVCCA
- Understanding Bias in Peer Review
- Google at NIPS 2017
- DeepVariant: Highly Accurate Genomes With Deep Neural Networks
- TFGAN: A Lightweight Library for Generative Adversarial Networks
- A Summary of the First Conference on Robot Learning
- Improving End-to-End Models For Speech Recognition
- Introducing NIMA: Neural Image Assessment
- Tacotron 2: Generating Human-like Speech from Text
- Evaluation of Speech for the Google Assistant
Google Research - 2018
- The Google Brain Team — Looking Back on 2017 (Part 1 of 2)
- The Google Brain Team — Looking Back on 2017 (Part 2 of 2)
- Introducing the CVPR 2018 Learned Image Compression Challenge
- Introducing the HDR+ Burst Photography Dataset
- Assessing Cardiovascular Risk Factors with Computer Vision
- A Summary of the Google Zürich Algorithms & Optimization Workshop
- Google-Landmarks: A New Dataset and Challenge for Landmark Recognition
- Mobile Real-time Video Segmentation
- Making Healthcare Data Work Better with Machine Learning
- A Preview of Bristlecone, Google’s New Quantum Processor
- The Building Blocks of Interpretability
- Open Sourcing the Hunt for Exoplanets
- Introducing the iNaturalist 2018 Challenge
- Semantic Image Segmentation with DeepLab in TensorFlow
- Behind the Motion Photos Technology in Pixel 2
- Balanced Partitioning and Hierarchical Clustering at Scale
- Using Evolutionary AutoML to Discover Neural Network Architectures
- Using Deep Learning to Facilitate Scientific Image Analysis
- Reformulating Chemistry for More Efficient Quantum Computation
- Expressive Speech Synthesis with Tacotron
- Using Machine Learning to Discover Neural Network Optimizers
- Investing in France’s AI Ecosystem
- MobileNetV2: The Next Generation of On-Device Computer Vision Networks
- Announcing the 2018 Google PhD Fellows for North America, Europe and the Middle East
- Looking to Listen: Audio-Visual Speech Separation
- Seeing More with In Silico Labeling of Microscopy Images
- Introducing Semantic Experiences with Talk to Books and Semantris
- An Augmented Reality Microscope for Cancer Detection
- DeepVariant Accuracy Improvements for Genetic Datatypes
- Introducing the CVPR 2018 On-Device Visual Intelligence Challenge
- Google’s Workshop on AI/ML Research and Practice in India
- Announcing the Google Cloud Platform Research Credits Program
- Google at ICLR 2018
- Announcing Open Images V4 and the ECCV 2018 Open Images Challenge
- The Question of Quantum Supremacy
- Introducing Google AI
- Deep Learning for Electronic Health Records
- Google Duplex: An AI System for Accomplishing Real-World Tasks Over the Phone
- Custom On-Device ML Models with Learn2Compress
- Automatic Photography with Google Clips
- Smart Compose: Using Neural Networks to Help Write Emails
- Advances in Semantic Textual Similarity
- Improving Deep Learning Performance with AutoAugment
- Announcing an updated YouTube-8M, and the 2nd YouTube-8M Large-Scale Video Understanding Challenge and Workshop
- Realtime tSNE Visualizations with TensorFlow.js
- Google at NAACL
- Google at CVPR 2018
- How Can Neural Network Similarity Help Us Understand Training and Generalization?
- Teaching Uncalibrated Robots to Visually Self-Adapt
- Self-Supervised Tracking via Video Colorization
- Scalable Deep Reinforcement Learning for Robotic Manipulation
- Google at ICML 2018
- Automating Drug Discoveries Using Computer Vision
- Accelerated Training and Inference with the Tensorflow Object Detection API
- Improving Connectomics by an Order of Magnitude
- Announcing Cirq: An Open Source Framework for NISQ Algorithms
- Machine Learning in Google BigQuery
- MnasNet: Towards Automating the Design of Mobile Machine Learning Models
- The Machine Learning Behind Android Smart Linkify
- Moving Beyond Translation with the Universal Transformer
- Introducing a New Framework for Flexible and Reproducible Reinforcement Learning Research
- Teaching the Google Assistant to be Multilingual
- Understanding Performance Fluctuations in Quantum Processors
- Conceptual Captions: A New Dataset and Challenge for Image Captioning
- Introducing the Inclusive Images Competition
- Text-to-Speech for Low-Resource Languages (Episode 4): One Down, 299 to Go
- The What-If Tool: Code-Free Probing of Machine Learning Models
- Introducing the Unrestricted Adversarial Examples Challenge
- Google’s Next Generation Music Recognition
- Building Google Dataset Search and Fostering an Open Data Ecosystem
- Introducing the Kaggle “Quick, Draw!” Doodle Recognition Challenge
- Highlights from the Google AI Residency Program
- Open Sourcing Active Question Reformulation with Reinforcement Learning
- Applying Deep Learning to Metastatic Breast Cancer Detection
- Fluid Annotation: An Exploratory Machine Learning–Powered Interface for Faster Image Annotation
- Curiosity and Procrastination in Reinforcement Learning
- Acoustic Detection of Humpback Whales Using a Convolutional Neural Network
- Introducing AdaNet: Fast and Flexible AutoML with Learning Guarantees
- Google at EMNLP 2018
- Open Sourcing BERT: State-of-the-Art Pre-training for Natural Language Processing
Microsoft Research
Uber AI Labs
from 2016
- Uber’s AI Ambition Using Artificial Intelligence to Transform Urban Transport
- Engineering Intelligence Through Data Visualization at Uber
- The Uber Engineering Tech Stack, Part I: The Foundation
- The Uber Engineering Tech Stack, Part II: The Edge and Beyond
- How Uber Engineering Massively Scaled Global Driver Onboarding
- Introducing Chaperone: How Uber Engineering Audits Apache Kafka End-to-End
2017
- Engineering the Architecture Behind Uber’s New Rider App
- Introducing Ohana, Uber Engineering’s iOS Contacts Library
- Powering UberEATS with React Native and Uber Engineering
- Open Sourcing deck.gl 4.0: Uber Engineering’s Framework for Advanced Data Visualization
- Presenting the Engineering Behind Uber at Our Technology Day
- Redesigning Uber Engineering’s Mobile Content Delivery Ecosystem
- Building an Intelligent Experimentation Platform with Uber Engineering
- The Journey To Android Monorepo: The History Of Uber Engineering’s Android Codebase
- Engineering Extreme Event Forecasting at Uber with Recurrent Neural Networks
- Re-Architecting Cash and Digital Wallet Payments for India with Uber Engineering
- Engineering Data Analytics with Presto and Apache Parquet at Uber
- Driver Profiles: How Uber Engineering Celebrates Drivers
- Engineering Uber’s Self-Driving Car Visualization Platform for the Web
- Meet Michelangelo: Uber’s Machine Learning Platform
- Engineering Uncertainty Estimation in Neural Networks for Time Series Prediction at Uber
- Introducing AthenaX, Uber Engineering’s Open Source Streaming Analytics Platform
- Meet Horovod: Uber’s Open Source Distributed Deep Learning Framework for TensorFlow
- Turbocharging Analytics at Uber with our Data Science Workbench
- Uber AI Labs Open Sources Pyro, a Deep Probabilistic Programming Language
- Engineering More Reliable Transportation with Machine Learning and AI at Uber
- Navigating the Engineering Interview Process at Uber & Beyond
- Welcoming the Era of Deep Neuroevolution
- Year in Review: 2017 Highlights from the Uber Engineering Blog
- Year in Review: 2017 Highlights from Uber Open Source
2018
- COTA: Improving Uber Customer Care with NLP & Machine Learning
- SBNet: Leveraging Activation Block Sparsity for Speeding up Convolutional Neural Networks
- Omphalos, Uber’s Parallel and Language-Extensible Time Series Backtesting Tool
- Implementing Model-Agnosticism in Uber’s Real-Time Anomaly Detection Platform
- Building Reliable Reprocessing and Dead Letter Queues with Apache Kafka
- Introducing the Uber AI Residency
- Code Migration in Production: Rewriting the Sharding Layer of Uber’s Schemaless Datastore
- VINE: An Open Source Interactive Data Visualization Tool for Neuroevolution
- Scaling Uber’s Apache Hadoop Distributed File System for Growth
- Differentiable Plasticity: A New Method for Learning to Learn
- Rethinking GPS: Engineering Next-Gen Location at Uber
- Accelerating Deep Neuroevolution: Train Atari in Hours on a Single Personal Computer
- Measuring the Intrinsic Dimension of Objective Landscapes
- Engineering a Job-based Forecasting Workflow for Observability Anomaly Detection
- Growing the Data Visualization Community with deck.gl v5
- From Beautiful Maps to Actionable Insights: Introducing kepler.gl, Uber’s Open Source Geospatial
- Food Discovery with Uber Eats: Building a Query Understanding Engine
- Advanced Technologies for Detecting and Preventing Fraud at Uber
- How Trip Inferences and Machine Learning Optimize Delivery Times on Uber Eats
- What Every Engineer Should Know About Open Source Software Licenses and IP
- M4 Forecasting Competition: Introducing a New Hybrid ES-RNN Model
- Transforming Financial Forecasting with Data Science and Machine Learning at Uber
- An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution
- Enhancing the Quality of Uber’s Maps with Metrics Computation
- Building Automated Feature Rollouts on Robust Regression Analysis
- Databook: Turning Big Data into Knowledge with Metadata at Uber
- Maximizing Process Performance with Maze, Uber’s Funnel Visualization Platform
- Scaling Uber’s Customer Support Ticket Assistant (COTA) System with Deep Learning
- Under the Hood of Uber’s Experimentation Platform
- Forecasting at Uber: An Introduction
- Food Discovery with Uber Eats: Recommending for the Marketplace
- Introducing Petastorm: Uber ATG’s Data Access Library for Deep Learning
- Improving Driver Communication through One-Click Chat, Uber’s Smart Reply System
- Uber Expands Advanced Visualization Ecosystem with Mapbox Integration
- Uber’s Big Data Platform: 100+ Petabytes with Minute Latency
- Applying Customer Feedback: How NLP & Deep Learning Improve Uber’s Maps
- Michelangelo PyML: Introducing Uber’s Platform for Rapid Python ML Model Development
- Scaling Machine Learning at Uber with Michelangelo
Nvidia AI
IBM AI
- MIT reshapes itself to shape the future
- FAQ on the newly established MIT Stephen A. Schwarzman College of Computing
Baidu AI
From 2017
- An AI agent with human-like language acquisition in a virtual environment
- Deep Speaker: an End-to-End System for Large-Scale Speaker Recognition
- Deep Voice 2: Multi-Speaker Neural Text-to-Speech
- Learning to Speak via Interaction
- Baidu Research Announces Next Generation Open Source Deep Learning Benchmark Tool
- A Spatial-Temporal Modeling Framework for Large-scale Video Understanding
- Globally Normalized Reader
- Mixed Precision Training
- Deep Voice 3: 2000-Speaker Neural Text-to-Speech
- Deep Speech 3: Even more end-to-end speech recognition
- Deep Learning Scaling is Predictable, Empirically
- PaddlePaddle Fluid: Elastic Deep Learning on Kubernetes
2018
- Baidu Research Announces the Hiring of Three World-Renowned AI scientists
- Baidu Research Showcased at Top Artificial Intelligence Conferences
- Neural Voice Cloning with a Few Samples
- MLPerf: A New Benchmark for Deep Learning Models
- Language Acquisition and One-Shot Concept Learning Through Conversational Interactions
- Experimental Evaluation of Mixed Precision Training for End to End Applications
- Using Deep Learning to Help Pathologists Find Tumors
- The Association for Computational Linguistics Appoints Baidu’s Haifeng Wang as the Founding Chair of the Newly Launched Asia-Pacific Chapter
- ClariNet: Parallel Wave Generation in End-to-End Text-to-Speech
- Baidu Research Announces Breakthrough in Simultaneous Translation
BAIR
From Jun 2017
- Introducing the BAIR Blog
- Constrained Policy Optimization
- The Confluence of Geometry and Learning
- Learning to Learn
- Minibatch Metropolis-Hastings
- Captioning Novel Objects in Images
- Releasing the Dexterity Network (Dex-Net) 2.0 Dataset for Deep Grasping
- Model-based Reinforcement Learning with Neural Network Dynamics
- Drilling Down on Depth Sensing and Deep Learning
- DART: Noise Injection for Robust Imitation Learning
- Learning to Reason with Neural Module Networks
- Learning Long Duration Sequential Task Structure From Demonstrations with Application in Surgical Robotics
- Learning Diverse Skills via Maximum Entropy Deep Reinforcement Learning
- Learning to Optimize with Reinforcement Learning
- Learning a Multi-View Stereo Machine
- How to Escape Saddle Points Efficiently
- High Quality 3D Object Reconstruction from a Single Color Image
- Cooperatively Learning Human Values
- FaSTrack: Ensuring Safe Real-Time Navigation of Dynamic Systems
- Towards Intelligent Industrial Co-robots
- Reverse Curriculum Generation for Reinforcement Learning Agents
- Physical Adversarial Examples Against Deep Neural Networks
2018
- Ray: A Distributed System for AI
- Kernel Feature Selection via Conditional Covariance Minimization
- Learning Robot Objectives from Physical Human Interaction
- Transfer Your Font Style with GANs
- Towards a Virtual Stuntman
- Shared Autonomy via Deep Reinforcement Learning
- TDM: From Model-Free to Model-Based Deep Reinforcement Learning
- Delayed Impact of Fair Machine Learning
- BDD100K: A Large-scale Diverse Driving Video Database
- BDD100K Blog Update
- One-Shot Imitation from Watching Videos
- When Recurrent Models Don't Need to be Recurrent
- Dexterous Manipulation with Reinforcement Learning: Efficient, General, and Low-Cost
- Visual Reinforcement Learning with Imagined Goals
- Learning Acrobatics by Watching YouTube
- Drilling Down on Depth Sensing and Deep Learning
Maintainer
Gopala KR / @gopala-kr