Building Machines That Learn and Think Like People

Recent progress in artificial intelligence (AI) has renewed interest in building systems that learn and think like people. Many advances have come from using deep neural networks trained end-to-end in tasks such as object recognition, video games, and board games, achieving performance that equals or even beats humans in some respects. Despite their biological inspiration and performance achievements, these systems differ from human intelligence in crucial ways. EVENT: Inaugural AI Research Week, hosted by the MIT-IBM Watson AI Lab EVENT: Joshua Tenenbaum PERMISSIONS: Original video was published with the Creative Commons Attribution license (reuse allowed). CREDITS: Original video source: https://www.youtube.com/watch?v=gjc5h-czorI&t=166s https://www.youtube.com/watch?v=Pg1H3dkSVZA