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, September 12, 2022

Understanding Quantum Computing with Professor Peter Shor and Professor William Oliver

Peter Shor

Professor, MIT CSAIL

William Oliver

Director, Center for Quantum Engineering, Professor of Electrical Engineering and Computer Science, MIT, Professor of Physics, MIT

PRODUCED BY: Nate Caldwell

MIT Professors Peter Shor and William Oliver join for a conversation on the current state and future possibilities of quantum computing.

Podcast transcript can be accessed here.

Monday, August 8, 2022

Exploring Changes in Computing as Moore's Law Ends with Neil Thompson

Neil Thompson

Principal Research Scientist, MIT CSAIL

PRODUCED BY: NATE CALDWELL

Neil Thompson explains how the end of Moore's Law will affect the computing stack, and what industry leaders should consider when facing this problem.

Podcast transcript can be accessed here.

Monday, June 6, 2022

Graphic of boolean numbers on purple background

Becoming a Flexible Programmer with Gerald Jay Sussman

Gerald Sussman

Professor, MIT EECS

PRODUCED BY: NATE CALDWELL

CSAIL Professor Gerald Jay Sussman discusses the importance of a breadth of research, lessons academia and industry can learn from each other, and how to be a flexible programmer.

Podcast transcript can be accessed here.

Monday, May 2, 2022

Implementing AI in Healthcare with John Guttag

John Guttag

Professor, MIT EECS

PRODUCED BY: Nate Caldwell

CSAIL Professor John Guttag discusses the process of incorporating AI into healthcare. Guttag also talks about the process of bringing an idea out of the lab and into a full-fledged business.

The podcast transcript can be found here.

Monday, April 4, 2022

Seeking Deep Understanding in Machine Learning with Una-May O'Reilly

Una-May O'Reilly

Senior Research Scientist, MIT CSAIL

PRODUCED BY: Nate Caldwell

Una-May discusses the difference between deep learning and deep understanding and some of the challenges humans face when writing as well reading code. Learning code is like learning a new language which is not necessarily intuitive, it is hard to read and error prone.