CSAIL Alliances Podcasts

CSAIL Professor Yoon Kim joins Kara Miller for a conversation about the past, present and future of Large Language Models. A full transcript of this podcast can be found at cap.csail.mit.edu

CSAIL Professor Saman Amarasinghe discusses how Large Language Models like Chat GPT, will alter the future of programming. Professor Amarasinghe also examines how structured data fits into the equation. A transcript of this podcast can be found here: cap.csail.mit.edu

Vivienne Sze is an associate professor in MIT's Department of Electrical Engineering and Computer Science. She's a coauthor of Efficient Processing of Deep Neural Networks. A full transcript will be available at cap.csail.mit.edu

CSAIL Professor Armando Solar-Lezama shares his insights on Program Synthesis. A full transcript of this podcast is available at cap.csail.mit.edu

Hear from CSAIL Professor Christina Delimitrou as she outlines advances being made in the cloud computing space. A full transcript of this podcast will be available at cap.csail.mit.edu

CSAIL Professor Henry Corrigan-Gibbs shares insights into his research that builds computer systems using ideas from cryptography, computer security, and computer systems. A transcript of this podcast can be found at cap.csail.mit.edu

CSAIL Professor Sam Hopkins gives an overview of the landscape of high dimensional statistics, and shares some of the research that he and his colleagues at CSAIL are working on to shape it. Professor Hopkins would like to note one correction, when he refers to the "planted clique" problem, it should be "max clique in a random graph". A full transcript of this podcast is available at cap.csail.mit.edu

Professor Mengjia Yan shares insights into her cybersecurity research. A full transcript of this podcast will be available at cap.csail.mit.edu

Cambridge based visual artist and MIT alumni Karl Sims shares his insights on art, science and business.

CSAIL Professor Arvind details his work in near-storage computing. He explains how he's using flash storage instead of massive amounts of DRAM for big data problems. A transcript of this podcast will be available at cap.csail.mit.edu