This Week in ML & AI - 6/24/16: Dueling Neura...

In this episode, Sebastian Raschka, independent LLM researcher and author, joins us to break down how the LLM landscape has changed over the past year and what is likely to matter most in 2026. We discuss the shift from raw model scaling to reasoning-focused post-training, infere ...  Show more

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

In this episode, I talk with Emmanuel Turlay, Founder & CEO of Sematic, about the pivotal role of AI in Machine Learning infrastructure. Emmanuel shares his expertise in designing and building platforms for Machine Learning pipelines at scale, discussing key components such as da ...  Show more

Artificial intelligence is now a household term. Responsible AI is hot on its heels. Julia Stoyanovich, associate professor of computer science and engineering at NYU and director of the university’s Center for Responsible AI, wants to make the terms “AI” and “responsible AI” syn ...  Show more

The convergence of AI and robotics will unlock a wonderful new world of possibilities in everyday life, says robotics and AI pioneer Daniela Rus. Diving into the way machines think, she reveals how "liquid networks" — a revolutionary class of AI that mimics the neural processes o ...  Show more

The term artificial intelligence, AI, is having a bit of a boom, with the explosion in popularity of tools like ChatGPT, Lensa, DALL•E 2, and many others. The praises of AI have been equally met with skepticism and criticism, with cautionary tales about AI information quality, ...