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.
  6. Get either of the class shirt online. No money is made on this shirt. The price is set as the minimum amount allowed by Teespring:

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: agi@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.
Artificial General Intelligence
Lex Fridman(Lecture)
[ Slides ] - [ Lecture Video ]
Building machines that see, learn, and think like people
Josh Tenenbaum (Guest Talk)
Professor, MIT
Future of Intelligence
Ray Kurzweil (Guest Talk)
Computational Universe
Stephen Wolfram(Guest Talk)
Wolfram Research
How the brain creates emotions
Lisa Feldman Barrett (Guest Talk)
Professor, Northeastern University
Cognitive Architecture: An Approach to AGI
Nate Derbinsky (Guest Talk)
Northeastern University
Guest Talk Mon, Jan 29, 1:30pm Room 26-100
Andrej Karpathy: Deep Learning
Director of AI, Tesla
Previously: OpenAI, Stanford University
Guest Talk Tue, Jan 30, 7pm Room 54-100
Richard Moyes: AI Safety and Autonomous Weapon Systems
Co-Founder and Managing Director, Article36
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.