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This class takes an engineering approach to exploring possible research paths toward building human-level intelligence. The lectures will introduce our current understanding of computational intelligence and ways in which strong AI could possibly be achieved, with insights from deep learning, reinforcement learning, computational neuroscience, robotics, cognitive modeling, psychology, and more. Additional topics will include AI safety and ethics. Projects will seek to build intuition about the limitations of state-of-the-art machine learning approaches and how those limitations may be overcome. The course will include several guest talks. Listeners are welcome.

Interested in the class? Here are some things you could do:

  1. Register an account on the site to stay up-to-date. The material for the course is free and open to the public. If you're an MIT student and would like to get credit for the course, pre-register for it here.
  2. Join our Slack channel (deep-mit.slack.com). There are two ways:
    (a) if you have an mit.edu email, join here
    (b) get an invite by clicking here.
  3. If you have questions, check out the FAQ Google Doc.
  4. Interact with Lex on Twitter, LinkedIn, Instagram, Facebook, or YouTube.
  5. Check out MIT 6.S094: Deep Learning for Self-Driving Cars.

Course Information:

  • Time/Dates: Every day, 7pm, Jan 22 - Feb 2
  • Duration: 60-90 minutes
  • Location: MIT, 54-100 (location details) with some exceptions.
  • Instructor: Lex Fridman
  • Contact: deepcars@mit.edu

2018 Schedule of Lectures and Talks

Most (but not all) lectures and talks will be at 7pm in Room 54-100. See below for exact time and location.
Lecture Mon, Jan 22, 7pm Room 54-100
Artificial General Intelligence
[ Slides ] - [ Lecture Video ] (Available Soon)
Guest Talk Tue, Jan 23, 7pm Room 54-100
Josh Tenenbaum: Computational Cognitive Science
Professor, MIT
Guest Talk Wed, Jan 24, 1pm Room 10-250
Ray Kurzweil: How to Create a Mind
Google
Guest Talk Thu, Jan 25, 7pm Room 54-100
Lisa Feldman Barrett: Emotion Creation
Northeastern University
Guest Talk Fri, Jan 26, 7pm Room 54-100
Nate Derbinsky: Cognitive Modeling
Northeastern University
Guest Talk Mon, Jan 29, 1pm Room 26-100
Andrej Karpathy: Deep Learning
Director of AI, Tesla
Previously: OpenAI, Stanford University
Lecture Tue, Jan 30, 7pm Room 54-100
Turing Test and Beyond
[ Slides ] - [ Lecture Video ] (Available Soon)
Guest Talk Wed, Jan 31, 7pm Room 54-100
Marc Raibert: Robotics
CEO, Boston Dynamics
Previously: MIT
Guest Talk Thu, Feb 1, 7pm Room 54-100
Ilya Sutskever: Deep Reinforcement Learning
Co-founder, OpenAI
Previously: Google Brain, Stanford, U of Toronto
Lecture Fri, Feb 2, 7pm Room 54-100
Human-Centered Artificial Intelligence
[ Slides ] - [ Lecture Video ] (Available Soon)

Big Thanks

None of this course would be possible without the great community of bright young minds at MIT and beyond. Thank you.