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This page is a collection of MIT courses and lectures on deep learning, deep reinforcement learning, autonomous vehicles, and artificial intelligence taught by Lex Fridman. New lectures will be up in January. In the mean time, if interested, here are a few things you can do:

  1. Sign up to our mailing list for updates.
  2. If you're an MIT student, pre-register for 6.S091, 6.S093, and 6.S094 to receive credit.
  3. If you have questions, check out the FAQ Google Doc.
  4. Connect with Lex on Twitter, LinkedIn, Instagram, Facebook, or YouTube.
  5. Join our Slack channel (deep-mit.slack.com). Get an invite by clicking here.
  6. Watch the lecture videos below.

January 2019 Courses

I am teaching 3 courses this January. There will be a lecture every day at 3-4:30pm for 4 weeks (Mon, Jan 7 to Fri, Feb 1). Location is room 54-100 (directions). Listeners are welcome. See schedule of lectures and talks for each course below. Videos will be available a few days after the talk is given.

  • 6.S094: Deep Learning for Self-Driving Cars (Weeks 1 & 2)
  • 6.S091: Deep Reinforcement Learning (Week 3)
  • 6.S093: Human-Centered Artificial Intelligence (Week 4)

Schedule of Lectures and Talks (2019)
6.S094: Deep Learning for Self-Driving Cars

Mon, Jan 7, 3pm, Room 54-100 (directions)
Deep Learning Basics
[ Slides ] - [ Video ]
Tue, Jan 8, 3pm, Room 54-100 (directions)
Self-Driving Cars: State of the Art in 2019
[ Slides ] - [ Video ]
Wed, Jan 9, 3pm, Room 54-100 (directions)
GANs and Semantic Segmentation
[ Slides ] - [ Video ]
Thu, Jan 10, 3pm, Room 54-100 (directions)
Urs Muller Chief Software Architect, NVIDIA Automotive
[ Video ]
Fri, Jan 11, 3pm, Room 54-100 (directions)
Alexandre Haag CTO, AID / Audi
[ Video ]
Mon, Jan 14, 3pm, Room 54-100 (directions)
Oliver Cameron CEO, Voyage
[ Video ]
Tue, Jan 15, 3pm, Room 54-100 (directions)
Drago Anguelov Principal Scientist, Waymo
[ Video ]
Wed, Jan 16, 3pm, Room 54-100 (directions)
Kyle Vogt CEO, Cruise
[ Video ]
Thu, Jan 17, 3pm, Room 54-100 (directions)
Luc Vincent VP Engineering, Lyft
[ Video ]
Fri, Jan 18, 3pm, Room 54-100 (directions)
Karl Iagnemma President, Aptiv Autonomous Mobility
[ Video ]

Schedule of Lectures and Talks (2019)
6.S091: Deep Reinforcement Learning

Schedule of lectures will be available soon. Topics include deep RL introduction, fundamentals, and state-of-the-art overview.

Schedule of Lectures and Talks (2019)
6.S093: Human-Centered Artificial Intelligence

Schedule of lectures will be available soon. Topics include deep learning for understanding the human: emotion, face identity, cognitive load, body pose, natural language processing, and more.

Deep Learning (2019)

Deep Learning (2018)

Deep Learning (2017)

Self-Driving Cars

Lex Fridman
Research Scientist, MIT
[ Video ] [ Slides ]
Sacha Arnoud
Director of Engineering, Waymo
[ Video ]
Emilio Frazzoli
CTO, nuTonomy
[ Video ]
Sterling Anderson
Co-Founder, Aurora
[ Video ]
Chris Gerdes
Professor, Stanford
[ Video ]

Artificial General Intelligence

Lex Fridman
Research Scientist, MIT
[ Video ] [ Slides ]
Marc Raibert
CEO, Boston Dynamics
[ Video ]
Stephen Wolfram
Wolfram Research
[ Video ]
Lisa Feldman Barrett
Professor, Northeastern U.
[ Video ]
Ilya Sutskever
Co-Founder, OpenAI
[ Video ]
Nate Derbinsky
Professor, Northeastern U.
[ Video ]
Richard Moyes
Co-Founder, Article36
[ Video ]
Max Tegmark
Professor, MIT
[ Video ]
Christof Koch
President, Allen Institute
[ Video ]
Steven Pinker
Professor, Harvard University
[ Video ]
Yoshua Bengio
University of Montreal
[ Video ]
Vladimir Vapnik
Professor, Columbia University
[ Video ]
Guido van Rossum
Creator and BDFL of Python
[ Video ]
Jeff Atwood
Co-Founder, Stack Overflow
[ Video ]
Eric Schmidt
CEO/Chairman, Google (2001-17)
[ Video ]
Stuart Russell
Professor, Berkeley
[ Video ]
Pieter Abbeel
Professor, Berkeley
[ Video ]
Juergen Schmidhuber
Co-Director, Swiss AI Lab IDSIA
[ Video ]
Tuomas Sandholm
Professor, CMU
[ Video ]

Team

Thank You

Thank you to TensorFlow for sponsoring our deep learning education efforts, to Veoneer for sponsoring our autonomous vehicle research, and to the community of researchers and students at MIT and beyond for their ongoing support, ideas, and discussions.