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