CSAIL Alliances Podcasts
En podcast av CSAIL Alliances
64 Avsnitt
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Countering Online Disinformation with David Clark
Publicerades: 2022-02-07 -
Forging the Future of Cryptography with Adam Chlipala
Publicerades: 2022-01-10 -
Improving Video Conferencing Through Vision Science with Ruth Rosenholtz
Publicerades: 2021-12-06 -
Exploring the Applications of Geometric Data with Justin Solomon
Publicerades: 2021-11-01 -
Unlocking Insights on Disease through Genomics with Manolis Kellis
Publicerades: 2021-10-04 -
Democratizing data science through machine learning with Tim Kraska
Publicerades: 2021-08-02 -
Building the Next Generation of Systems with Sam Madden
Publicerades: 2021-06-14 -
Rethinking Concepts in Software Design with Daniel Jackson
Publicerades: 2021-06-01 -
Closing the machine learning gap with Jacob Andreas
Publicerades: 2021-05-03 -
Keeping Software Free-form with CSAIL's Hal Abelson
Publicerades: 2021-04-05 -
Securing Computation with CSAIL's Yael Kalai
Publicerades: 2021-03-01 -
Designing and Using Virtuality to Better Serve Us
Publicerades: 2021-02-01 -
Enabling Robots to Complete Tasks on a Human Level
Publicerades: 2021-01-12 -
Moore's Law Momentum with CSAIL's Saman Amarasinghe
Publicerades: 2020-11-30 -
Understanding the Science of Disease Through Human Genome Research with Manolis Kellis
Publicerades: 2020-02-27 -
Machine Learning and Algorithmic Challenges with Aleksander Madry
Publicerades: 2019-04-01 -
Designing the Internet of the Future with David Clark
Publicerades: 2019-01-22 -
Humans and Intelligent Machine Support through Robotics and Automation with Julie Shah
Publicerades: 2017-03-21 -
The Intersection of Finance, Cryptography and AI with Andrew Lo
Publicerades: 2017-02-03 -
Cybersecurity Challenges and How They Impact IOT
Publicerades: 2016-08-08
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.
