Building Machines that Learn and Think Like People (28:21)

Building Machines that Learn and Think Like People (28:21)

Date Posted: 

July 26, 2017

Date Recorded: 

July 26, 2017

CBMM Speaker(s): 

  • CBMM Summer Lecture Series

Associated CBMM Pages: 

Description: 

Sam Gershman, Professor of Psychology at Harvard, discusses how we might build machines that learn and think like people, by combining insights from cognitive science, artificial intelligence, and computational neuroscience. Dr. Gershman elaborates on five key ingredients for a machine that learns and thinks like a person - intuitive physics, intuitive psychology, compositionality, learning-to-learn, and causality - reflecting on the importance of building more human-like machines and how close are contemporary AI systems to reaching this standard.