CSAIL Alliances Podcasts
A podcast by CSAIL Alliances - Mondays
Categories:
53 Episodes
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Addressing Computer Architecture Vulnerabilities with Mengjia Yan
Published: 1/17/2023 -
The Intersection of Art and Science with Karl Sims
Published: 12/5/2022 -
Advantages of Near Flash Computing with Arvind
Published: 10/3/2022 -
Understanding Quantum Computing with Peter Shor and Will Oliver
Published: 9/12/2022 -
Exploring Changes in Computing as Moore's Law Ends with Neil Thompson
Published: 8/8/2022 -
Becoming a Flexible Programmer with Gerald Jay Sussman
Published: 6/6/2022 -
Implementing AI in Healthcare with John Guttag
Published: 5/2/2022 -
Seeking Deep Understanding in Machine Learning with Una-May O'Reilly
Published: 4/4/2022 -
Creating Low-Code Applications and Online Discussion Tools with David Karger
Published: 3/7/2022 -
Countering Online Disinformation with David Clark
Published: 2/7/2022 -
Forging the Future of Cryptography with Adam Chlipala
Published: 1/10/2022 -
Improving Video Conferencing Through Vision Science with Ruth Rosenholtz
Published: 12/6/2021 -
Exploring the Applications of Geometric Data with Justin Solomon
Published: 11/1/2021 -
Unlocking Insights on Disease through Genomics with Manolis Kellis
Published: 10/4/2021 -
Democratizing data science through machine learning with Tim Kraska
Published: 8/2/2021 -
Building the Next Generation of Systems with Sam Madden
Published: 6/14/2021 -
Rethinking Concepts in Software Design with Daniel Jackson
Published: 6/1/2021 -
Closing the machine learning gap with Jacob Andreas
Published: 5/3/2021 -
Keeping Software Free-form with CSAIL's Hal Abelson
Published: 4/5/2021 -
Securing Computation with CSAIL's Yael Kalai
Published: 3/1/2021
MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) Alliances serves as a gateway into the lab for industry and governmental institutions seeking a closer connection to the work, researchers, and students of CSAIL. Our podcast aims to provide inside access to topics covered by CSAIL and other leaders advancing computer science and AI research.