Podcast

Building 32 is named after the real-world Building 32, the iconic Stata Center, heart and headquarters of the MIT Computer Science and AI Laboratory. Tune in each month for a fresh conversation with the faculty and researchers of CSAIL who are working to improve the way we live, work, play, and learn.

Monday, December 4, 2023

Combining Human and Computer Intelligence with Thomas Malone

Thomas Malone

Founding Director of the MIT Center for Collective Intelligence

MIT Professor Thomas Malone sits down with Kara Miller for a discussion about the intersections of business and computer science.

A full transcript of the podcast can be found here.

Monday, November 6, 2023

Software Performance Engineering in a Post-Moore Era with Professor Charles Leiserson Podcast

Charles E. Leiserson

Professor, MIT EECS

Professor and lifelong educator Charles Leiserson is working on solutions that will support continued improvements in computing performance and help today’s engineers and programmers adjust to and thrive in a post-Moore's Law era.

Monday, October 2, 2023

Agile Digital Twin Interface, bird's eye view of a factory floor

Evolving Research into Businesses with Turing Award winner Mike Stonebraker

Michael Stonebraker

Adjunct Professor, MIT EECS

CSAIL Professor and Turing Award winner Mike Stonebraker sits down with Kara Miller for a conversation about research and business. They're joined by Gant Redmon, CEO of Hopara, an Agile Digital Twin company that was built at MIT CSAIL.

A full transcript of this podcast can be found here.

Monday, September 11, 2023

The Frontier of Large Language Models with Yoon Kim

Yoon Kim

Associate Professor, MIT EECS

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 viewed here.

Monday, August 7, 2023

Understanding Large Language Models' Effects on Programming with Saman Amarasinghe

Saman Amarasinghe

Professor, MIT EECS

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 full transcript of this podcast can be viewed here.