Teaching LLMs to Self-Reflect with Reinforcem...

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 ...  Show more

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 ...  Show more

Hongyi Wang, a Senior Researcher at the Machine Learning Department at Carnegie Mellon University, joins us. His research is in the intersection of systems and machine learning. He discussed his research paper, Cuttlefish: Low-Rank Model Training without All the Tuning, on tod ...

Breaking news: Jon Krohn welcomes Adrian Kosowski to the show to talk about the groundbreaking research happening at Pathway. Adrian and his team demonstrate how they have brought attention in AI closer to the way the brain functions, creating, in essence, a “massively parallel s ...  Show more

From top level cyclists to world-class runners and speedskaters, pro training regimes offer a fascinating look into what it takes to count yourself among the world's best. Recent research among top-level athletes is also leading us to question entrenched training methods as sp ...

In 'Episode 3' of the series "Voices of tomorrow's urologists (ESRU): Journeying through Europe's resident perspectives", Dr. Enrico Checcucci (IT) and Assoc. Prof. Stefano Puliatti (IT) discuss "Surgical training unvei ...