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Explore Deep Learning State of the Art (2020) with 1,370,903 views, 27,432 likes, and 665 comments. Experience the impact of this video content that has captured audience attention.

Lecture on most recent research and developments in deep learning, and hopes for 2020. This is not intended to be a list of SOTA benchmark results, but rather a set of highlights of machine learning and AI innovations and progress in academia, industry, and society in general. This lecture is part of the MIT Deep Learning Lecture Series. Website: https://deeplearning.mit.edu Slides: http://bit.ly/2QEfbAm References: http://bit.ly/deeplearn-sota-2020 Playlist: http://bit.ly/deep-learning-playlist OUTLINE: 0:00 - Introduction 0:33 - AI in the context of human history 5:47 - Deep learning celebrations, growth, and limitations 6:35 - Deep learning early key figures 9:29 - Limitations of deep learning 11:01 - Hopes for 2020: deep learning community and research 12:50 - Deep learning frameworks: TensorFlow and PyTorch 15:11 - Deep RL frameworks 16:13 - Hopes for 2020: deep learning and deep RL frameworks 17:53 - Natural language processing 19:42 - Megatron, XLNet, ALBERT 21:21 - Write with transformer examples 24:28 - GPT-2 release strategies report 26:25 - Multi-domain dialogue 27:13 - Commonsense reasoning 28:26 - Alexa prize and open-domain conversation 33:44 - Hopes for 2020: natural language processing 35:11 - Deep RL and self-play 35:30 - OpenAI Five and Dota 2 37:04 - DeepMind Quake III Arena 39:07 - DeepMind AlphaStar 41:09 - Pluribus: six-player no-limit Texas hold'em poker 43:13 - OpenAI Rubik's Cube 44:49 - Hopes for 2020: Deep RL and self-play 45:52 - Science of deep learning 46:01 - Lottery ticket hypothesis 47:29 - Disentangled representations 48:34 - Deep double descent 49:30 - Hopes for 2020: science of deep learning 50:56 - Autonomous vehicles and AI-assisted driving 51:50 - Waymo 52:42 - Tesla Autopilot 57:03 - Open question for Level 2 and Level 4 approaches 59:55 - Hopes for 2020: autonomous vehicles and AI-assisted driving 1:01:43 - Government, politics, policy 1:03:03 - Recommendation systems and policy 1:05:36 - Hopes for 2020: Politics, policy and recommendation systems 1:06:50 - Courses, Tutorials, Books 1:10:05 - General hopes for 2020 1:11:19 - Recipe for progress in AI 1:14:15 - Q&A: what made you interested in AI 1:15:21 - Q&A: Will machines ever be able to think and feel? 1:18:20 - Q&A: Is RL a good candidate for achieving AGI? 1:21:31 - Q&A: Are autonomous vehicles responsive to sound? 1:22:43 - Q&A: What does the future with AGI look like? 1:25:50 - Q&A: Will AGI systems become our masters? CONNECT: - If you enjoyed this video, please subscribe to this channel. - Twitter: https://twitter.com/lexfridman - LinkedIn: https://www.linkedin.com/in/lexfridman - Facebook: https://www.facebook.com/lexfridman - Instagram: https://www.instagram.com/lexfridman

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