Building Machines That See, Learn, and Think like People – Josh Tenenbaum

This is a talk by Josh Tenenbaum for course 6.S099: Artificial General Intelligence.

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.

Lex Fridman

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.

Joshua Brett Tenenbaum is Professor of Cognitive Science and Computation at the Massachusetts Institute of Technology. He is known for contributions to mathematical psychology and Bayesian cognitive science. He and his colleagues in the Computational Cognitive Science group want to understand that most elusive aspect of human intelligence.

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