Gradient Dissent: Conversations on AI

107 Episodo

1. Luis Ceze — Accelerating Machine Learning Systems

   Publicado: 24/6/2021
2. Matthew Davis — Bringing Genetic Insights to Everyone

   Publicado: 17/6/2021
3. Clément Delangue — The Power of the Open Source Community

   Publicado: 10/6/2021
4. Wojciech Zaremba — What Could Make AI Conscious?

   Publicado: 3/6/2021
5. Phil Brown — How IPUs are Advancing Machine Intelligence

   Publicado: 27/5/2021
6. Alyssa Simpson Rochwerger — Responsible ML in the Real World

   Publicado: 20/5/2021
7. Sean Taylor — Business Decision Problems

   Publicado: 13/5/2021
8. Polly Fordyce — Microfluidic Platforms and Machine Learning

   Publicado: 29/4/2021
9. Adrien Gaidon — Advancing ML Research in Autonomous Vehicles

   Publicado: 22/4/2021
10. Nimrod Shabtay — Deployment and Monitoring at Nanit

    Publicado: 15/4/2021
11. Chris Mattmann — ML Applications on Earth, Mars, and Beyond

    Publicado: 8/4/2021
12. Vladlen Koltun — The Power of Simulation and Abstraction

    Publicado: 1/4/2021
13. Dominik Moritz — Building Intuitive Data Visualization Tools

    Publicado: 25/3/2021
14. Cade Metz — The Stories Behind the Rise of AI

    Publicado: 18/3/2021
15. Dave Selinger — AI and the Next Generation of Security Systems

    Publicado: 11/3/2021
16. Tim & Heinrich — Democraticizing Reinforcement Learning Research

    Publicado: 4/3/2021
17. Daphne Koller — Digital Biology and the Next Epoch of Science

    Publicado: 18/2/2021
18. Piero Molino — The Secret Behind Building Successful Open Source Projects

    Publicado: 11/2/2021
19. Rosanne Liu — Conducting Fundamental ML Research as a Nonprofit

    Publicado: 5/2/2021
20. Sean Gourley — NLP, National Defense, and Establishing Ground Truth

    Publicado: 28/1/2021