MIT’s Cheetah 3 robot can now leap and gallop across rough terrain, climb a staircase littered with debris, and quickly recover its balance when suddenly yanked or shoved, all while essentially blind.
In this video, Lex Friedman interviews Tomaso Poggio as part of the Artificial Intelligence podcast and the MIT course 6.S099: Artificial General Intelligence Tomaso Poggio is a professor at MIT and is the director of the Center for Brains, Minds, and Machines. Cited over 100,000 times, his work has had a profound impact on our understanding of the nature of intelligence, in both biological neural networks and artificial ones.
He has been an advisor to many highly-impactful researchers and entrepreneurs in AI, including Demis Hassabis of DeepMind, Amnon Shashua of MobileEye, and Christof Koch of the Allen Institute for Brain Science.
has just posted another excellent lecture — this time on the recent developments in deep learning that are defining the state of the art in the field
Lex Fridman posted a video an introductory lecture overviewing the basics of deep learning including a few key ideas, subfields, and the big picture of why neural networks have inspired and energized an entire new generation of researchers.
In this lecture from MIT, Jeremy Kepner talks about his newly released book, “Mathematics of Big Data,” which serves as the motivational material for the D4M course.
Lex Fridman of MIT, interviews Vladimir Vapnik, an influential figure in the development of AI.
MIT’s Alexander Amini delivers this lecture as part of their Introduction to Deep Learning 6.S191 class.
BBC Click heads to MIT’s CSAIL to check out its weird and wonderful robotic research and visits Wimbledon to see how AI is set to transform tennis.