64 Épisodes

  1. Countering Online Disinformation with David Clark

    Publié: 07/02/2022
  2. Forging the Future of Cryptography with Adam Chlipala

    Publié: 10/01/2022
  3. Improving Video Conferencing Through Vision Science with Ruth Rosenholtz

    Publié: 06/12/2021
  4. Exploring the Applications of Geometric Data with Justin Solomon

    Publié: 01/11/2021
  5. Unlocking Insights on Disease through Genomics with Manolis Kellis

    Publié: 04/10/2021
  6. Democratizing data science through machine learning with Tim Kraska

    Publié: 02/08/2021
  7. Building the Next Generation of Systems with Sam Madden

    Publié: 14/06/2021
  8. Rethinking Concepts in Software Design with Daniel Jackson

    Publié: 01/06/2021
  9. Closing the machine learning gap with Jacob Andreas

    Publié: 03/05/2021
  10. Keeping Software Free-form with CSAIL's Hal Abelson

    Publié: 05/04/2021
  11. Securing Computation with CSAIL's Yael Kalai

    Publié: 01/03/2021
  12. Designing and Using Virtuality to Better Serve Us

    Publié: 01/02/2021
  13. Enabling Robots to Complete Tasks on a Human Level

    Publié: 12/01/2021
  14. Moore's Law Momentum with CSAIL's Saman Amarasinghe

    Publié: 30/11/2020
  15. Understanding the Science of Disease Through Human Genome Research with Manolis Kellis

    Publié: 27/02/2020
  16. Machine Learning and Algorithmic Challenges with Aleksander Madry

    Publié: 01/04/2019
  17. Designing the Internet of the Future with David Clark

    Publié: 22/01/2019
  18. Humans and Intelligent Machine Support through Robotics and Automation with Julie Shah

    Publié: 21/03/2017
  19. The Intersection of Finance, Cryptography and AI with Andrew Lo

    Publié: 03/02/2017
  20. Cybersecurity Challenges and How They Impact IOT

    Publié: 08/08/2016

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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.

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