Gradient Dissent: Conversations on AI

117 Episodes

1. Pete Warden — Practical Applications of TinyML

   Published: 10/21/2021
2. Pieter Abbeel — Robotics, Startups, and Robotics Startups

   Published: 10/7/2021
3. Chris Albon — ML Models and Infrastructure at Wikimedia

   Published: 9/23/2021
4. Emily M. Bender — Language Models and Linguistics

   Published: 9/9/2021
5. Jeff Hammerbacher — From data science to biomedicine

   Published: 8/26/2021
6. Josh Bloom — The Link Between Astronomy and ML

   Published: 8/20/2021
7. Xavier Amatriain — Building AI-powered Primary Care

   Published: 7/30/2021
8. Spence Green — Enterprise-scale Machine Translation

   Published: 7/16/2021
9. Roger & DJ — The Rise of Big Data and CA's COVID-19 Response

   Published: 7/8/2021
10. Amelia & Filip — How Pandora Deploys ML Models into Production

    Published: 7/1/2021
11. Luis Ceze — Accelerating Machine Learning Systems

    Published: 6/24/2021
12. Matthew Davis — Bringing Genetic Insights to Everyone

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

    Published: 6/10/2021
14. Wojciech Zaremba — What Could Make AI Conscious?

    Published: 6/3/2021
15. Phil Brown — How IPUs are Advancing Machine Intelligence

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

    Published: 5/20/2021
17. Sean Taylor — Business Decision Problems

    Published: 5/13/2021
18. Polly Fordyce — Microfluidic Platforms and Machine Learning

    Published: 4/29/2021
19. Adrien Gaidon — Advancing ML Research in Autonomous Vehicles

    Published: 4/22/2021
20. Nimrod Shabtay — Deployment and Monitoring at Nanit

    Published: 4/15/2021