Adaptivity in Machine Learning with Samory Kp...

Today, we're joined by Yejin Choi, professor and senior fellow at Stanford University in the Computer Science Department and the Institute for Human-Centered AI (HAI). In this conversation, we explore Yejin’s recent work on making small language models reason more effectively. We ...  Afficher plus

Today, we're joined by Nikita Rudin, co-founder and CEO of Flexion Robotics to discuss the gap between current robotic capabilities and what’s required to deploy fully autonomous robots in the real world. Nikita explains how reinforcement learning and simulation have driven rapid ...  Afficher plus

Over the past several years, we have seen many success stories in machine learning brought about by deep learning techniques. While the practical success of deep learning has been phenomenal, the formal guarantees have been lacking. Our current theoretical understanding of the ma ...  Afficher plus

How Zack went from being a musician to professor, how medical applications of Machine Learning are developing, and the challenges of counteracting bias in real world applications. Zachary Chase Lipton is an assistant professor of Operations Research and Machine Learning at Carneg ...  Afficher plus

From ChatGPT to self-driving cars, AI is everywhere these days – but its rollout hasn’t always been entirely smooth. Tom Griffiths, PhD, a professor of psychology and computer science at Princeton University, talks about how artificial intelligence works, how AI differs from huma ...  Afficher plus

<span style="font-weight: 400;">Sam Harris speaks with Jeff Hawkins about the nature of intelligence. They discuss how the neocortex creates models of the world, the role of prediction in sensory-motor experience, cortical columns, reference frames, thought as movement in conc ...