The book passage I read at the top is from “Chapter 4: Trust but Verify,” which was written by Zak. You know, it’s no secret that in the US and elsewhere shortages in medical staff and the rise of clinician burnout are affecting the quality of patient care for the worse. In our book, we predicted that generative AI would be something that might help address these issues. So in this episode, we’ll delve into how individual performance gains that […]

ALEX LU: Yeah, I’m really excited to be joining you today.  HUIZINGA: So let’s start with a little background of your work. In just a few sentences, tell us about your study and more importantly, why it matters.  LU: Absolutely. And before I dive in, I want to give a shout out to the MSR research intern who actually did this work. This was led by Kasia Kedzierska, who interned with us two summers ago in 2023, and she’s the […]

This is such exciting work about environmental forecasting, so we’re happy to have the two of you join us today.   Megan and Wessel, welcome.  MEGAN STANLEY: Thank you. Thanks. Great to be here.  WESSEL BRUINSMA: Thanks.  TINGLE: Let’s jump right in. Wessel, share a bit about the problem your research addresses and why this work is so important.  BRUINSMA: I think we’re all very much aware of the revolution that’s happening in the space of large language models, which have […]

JONATHAN CARLSON: From the beginning, healthcare stood out to us as an important opportunity for general reasoners to improve the lives and experiences of patients and providers. Indeed, in the past two years, there’s been an explosion of scientific papers looking at the application first of text reasoners and medicine, then multi-modal reasoners that can interpret medical images, and now, most recently, healthcare agents that can reason with each other. But even more impressive than the pace of research has […]

Modern productivity is rooted in the web—from searching for information and filling in forms to navigating dashboards. Yet, many of these tasks remain manual and repetitive. Today, we are introducing Magentic-UI, a new open-source research prototype of a human-centered agent that is meant to help researchers study open questions on human-in-the-loop approaches and oversight mechanisms for AI agents. This prototype collaborates with users on web-based tasks and operates in real time  

[THEME MUSIC FADES]   The passage I read at the top is from the book’s prologue.    When Carey, Zak, and I wrote the book, we could only speculate how generative AI would be used in healthcare because GPT-4 hadn’t yet been released. It wasn’t yet available to the very people we thought would be most affected by it. And while we felt strongly that this new form of AI would have the potential to transform medicine, it was such a different […]

HONGXIA HAO: Nice to be here. BING LV: Nice to be here, too. HUIZINGA: So Hongxia, let’s start with you and a brief overview of this paper. In just a few sentences. Tell us about the problem your research addresses and more importantly, why we should care about it. HAO: Let me start with a very simple yet profound question. What’s the fastest the heat can travel through a solid material? This is not just an academic curiosity, but it’s […]

In this issue: New research on compound AI systems and causal verification of the Confidential Consortium Framework; release of Phi-4-reasoning; enriching tabular data with semantic structure, and more. NEW RESEARCH Towards Resource-Efficient Compound AI Systems

The pursuit of nuclear fusion as a limitless, clean energy source has long been one of humanity’s most ambitious scientific goals. Research labs and companies worldwide are working to replicate the fusion process that occurs at the sun’s core, where isotopes of hydrogen combine to form helium, releasing vast amounts of energy. While scalable fusion energy is still years away, researchers are now exploring how AI can help accelerate fusion research