CSAIL Alliances Podcasts
En podkast av CSAIL Alliances - Mandager
Kategorier:
53 Episoder
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Addressing Computer Architecture Vulnerabilities with Mengjia Yan
Publisert: 17.1.2023 -
The Intersection of Art and Science with Karl Sims
Publisert: 5.12.2022 -
Advantages of Near Flash Computing with Arvind
Publisert: 3.10.2022 -
Understanding Quantum Computing with Peter Shor and Will Oliver
Publisert: 12.9.2022 -
Exploring Changes in Computing as Moore's Law Ends with Neil Thompson
Publisert: 8.8.2022 -
Becoming a Flexible Programmer with Gerald Jay Sussman
Publisert: 6.6.2022 -
Implementing AI in Healthcare with John Guttag
Publisert: 2.5.2022 -
Seeking Deep Understanding in Machine Learning with Una-May O'Reilly
Publisert: 4.4.2022 -
Creating Low-Code Applications and Online Discussion Tools with David Karger
Publisert: 7.3.2022 -
Countering Online Disinformation with David Clark
Publisert: 7.2.2022 -
Forging the Future of Cryptography with Adam Chlipala
Publisert: 10.1.2022 -
Improving Video Conferencing Through Vision Science with Ruth Rosenholtz
Publisert: 6.12.2021 -
Exploring the Applications of Geometric Data with Justin Solomon
Publisert: 1.11.2021 -
Unlocking Insights on Disease through Genomics with Manolis Kellis
Publisert: 4.10.2021 -
Democratizing data science through machine learning with Tim Kraska
Publisert: 2.8.2021 -
Building the Next Generation of Systems with Sam Madden
Publisert: 14.6.2021 -
Rethinking Concepts in Software Design with Daniel Jackson
Publisert: 1.6.2021 -
Closing the machine learning gap with Jacob Andreas
Publisert: 3.5.2021 -
Keeping Software Free-form with CSAIL's Hal Abelson
Publisert: 5.4.2021 -
Securing Computation with CSAIL's Yael Kalai
Publisert: 1.3.2021
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.