Lecture 2.1: Josh Tenenbaum - Computational Cognitive Science Part 1
Learning about the physical world: Comparing humans, deep neural networks, and...
A Bayesian view of inductive learning in humans and machines – Josh Tenenbaum (MIT) - 2004
Computational Models of Cognition | Part 1 | Josh Tenenbaum
Josh Tenenbaum: Roadmap for conference "Advances in the quest to understand intelligence"
Building machines that learn and think like people | Joshua Tenenbaum
Josh Tenenbaum: Building Machines that Learn and Think Like People (ICML 2018 invited talk)
What Kind of Computation Is Cognition?
5/31/14 Development of Intelligence - Sam Gershman & Josh Tenenbaum: Bayesian Inference Part 3
A Conversation with Josh Tenenbaum
Josh Tenenbaum, MIT: Building machines that learn and think like people
Building Machines that Learn & Think Like People - Prof. Josh Tenenbaum ICML2018
Lecture 2.2: Josh Tenenbaum - Computational Cognitive Science Part 2
SDSCon 2018 Session 1 - Joshua Tenenbaum
What are the differences between neural networks and the brain?
Building machines that learn and think like people - Josh Tenenbaum (MIT)
Lecture 2.3: Josh Tenenbaum - Computational Cognitive Science Part 3
Josh Tenenbaum - The cognitive science perspective: Reverse-engineering the mind (CCN 2017)
Computational models of cognition:Reverse-engineering common sense in the human mind and brain Pt 2
Developing Intelligence Mission
