Today we’re joined by Diana Marculescu, Professor of Electrical and Computer Engineering at UT Austin.
We caught up with Diana to discuss her work on hardware-aware machine learning. In particular, we explore her keynote, “Putting the “Machine” Back in Machine Learning: The Case for Hardware-ML Model Co-design” from CVPR 2020. We explore how her research g ... Show More
Feb 26
AI Trends 2026: OpenClaw Agents, Reasoning LLMs, and More with Sebastian Raschka - #762
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
1h 18m
Jan 29
The Evolution of Reasoning in Small Language Models with Yejin Choi - #761
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
1h 6m
Aug 2019
MIT’s New Head of Mechanical Engineering, Evelyn Wang, on the Future of Education and Grand Challenges
<p>This week we speak with Evelyn Wang, who was recently named the head of MIT’s Department of Mechanical Engineering. We talk about some of the new educational models and grand research challenges she’s implementing into the curriculum. </p>
15m 47s
Jun 2021
Carla Diana, "My Robot Gets Me: How Social Design Can Make New Products More Human" (Harvard Business, 2021)
Today I talked to Carla Diana about her new book My Robot Gets Me: How Social Design Can Make New Products More Human (Harvard Business Review Press, 2021).
Carla Diana is a robot designer responsible for the creative aspects of Diligent Robotics’ new hospital service robot named ... Show More
34m 56s
Feb 2024
#179 Why ML Projects Fail, and How to Ensure Success with Eric Siegel, Founder of Machine Learning Week, Former Columbia Professor, and Bestselling Author
We are in a Generative AI hype cycle. Every executive looking at the potential generative AI today is probably thinking about how they can allocate their department's budget to building some AI use cases. However, many of these use cases won't make it into production.In a similar ... Show More
48 m
