Tomaso Poggio

Tommaso Poggio, a renowned MIT professor and director of the Center for Biological and Computational Learning, dives into the principles of intelligence and learning. He compares the current stage of AI to historical breakthroughs in electricity, advocating for a theory-first approach. Poggio explores how learning can be integrated into existing models, shares insights from early machine learning developments, and discusses the significance of sparse compositionality. He also reflects on the evolving relationship between neuroscience and machine learning, emphasizing the need for theoretical foundation in both fields.

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. Video version is available on YouTube. If you would like to get more information about this podcast go to https://lexfridman.com/ai or connect with @lexfridman on Twitter, LinkedIn, Facebook, or YouTube where you can watch the video versions of these conversations.