gopala-kr / A Week In Wild Ai

• [Week-1] 07/07/2018 : AI-accelerators(CPU, GPU, FPGA, ASIC, SoC, HPC), Neuromorphic and Quantum Compute for AI
• [Week-2] 15/07/2018 : AI in Healthcare and Genomics
• [Week-3] 22/07/2018 : Speech processing: recognition, synthesis + Survey on chatbot platforms and API's [vui]
• [Week-4] 29/07/2018 : Autonomous Vehicles
• [Week-5-6-7-8] 26/08/2018 : AI in Robotics
• [Week-9] 02/09/2018 : AI in Finance
• [Week-10] 09/09/2018 : AI in enterprise services
• [Week-11-12] 23/09/2018 : AI in Surveillance + IoT + Agriculture
• [Week-13] 30/09/2018: DL Compiler Optimization for Different Hardwares
• [Week-14] 07/10/2018 : Demystifying Deep Learning Frameworks and Libraries(low+high level)

|| Active AI research areas | Taxonomy of AI Algorithms | Data Sharing | AI Ethics | AI in Space Research | Global Connectivity||

• [Week-15-16-17] 14-28/10/2018 : Reinforcement Learning (to be continued from 19th Nov)
• [Week-18-19-20] 18/11/2018 : revisit(time travel) from 2010 to Oct-2018
• [Week-21] 25/11/2018 : Deep Reinforcement Learning continued..

• [Week-1](01/04/2019 - 07/04/2019) : Recent Advances in CNN architectures and CV tasks
• [Week-2](08/04/2019 - 14/04/2019) : Recent Advances in RNN architectures and NLP-Speech tasks
• [Week-3-8](15/04/2019 - 02/06/2019) : time travel 4000 bc
• [Week-9] (03/06/2019 - 09/06/2019) : Recent Advances in Hardware Architectures and DL frameworks
• [Week-10] (07/05/2020 - 21/06/2020) : Quantum | Neuromorphic, BCI & DNA Computing | Q-Algorithms

• [Week-11] (11th - 16th Aug 2020) : Vision
• [Week-12] : NLP & Speech
• [Week-13] : Frameworks & Hardwares
• [Week-14] : Recent Advances in Generative Models
• [Week-15] : Recent Advances in Deep RL and Robotic tasks
• [Week-16] : Recent Advances in Transfer Learning and Meta-learning
• [Week-17] : Neural ODE's and Graph Neural Network
• [Week-18] : AI for Science Advancement
• [Week-19-20] Oct-Nov 2020 : AGI Survey 2020

|| Theories of Mind, Intelligence & Conciousness | Genetics | New Theories of Computation | Universal Theory of Everything ||

• State of AI Report 2020
• AMAI-GmbH/AI-Expert-Roadmap
• data-engineer-roadmap
• 2020 Machine Learning Roadmap
• visenger/awesome-mlops
• daviddao/awful-ai
• Lex AI Podcast ⭐️
• Public Cloud AI Review ⭐️
• Scalable, Distributed, Deep Machine Learning for Big Data
• Deep Learning State of the Art (2020) | MIT Deep Learning Series | gh | slides
• riseof.ai/
• MIT Breakthrough Technologies

source: blumbergcapital

• AI Podcast Clips ⭐️

• Resilience and Vibrancy: The 2020 Data & AI Landscape

enterprise_ai_landscape_2018_2019

2018_Matt_Turck_IoT_Landscape_Final

Maintainer

Gopala KR / @gopala-kr