Gradient Dissent: Conversations on AI

120 Épisodes

1. Kathryn Hume — Financial Models, ML, and 17th-Century Philosophy

   Publié: 16/12/2021
2. Sean & Greg — Biology and ML for Drug Discovery

   Publié: 02/12/2021
3. Chris, Shawn, and Lukas — The Weights & Biases Journey

   Publié: 05/11/2021
4. Pete Warden — Practical Applications of TinyML

   Publié: 21/10/2021
5. Pieter Abbeel — Robotics, Startups, and Robotics Startups

   Publié: 07/10/2021
6. Chris Albon — ML Models and Infrastructure at Wikimedia

   Publié: 23/09/2021
7. Emily M. Bender — Language Models and Linguistics

   Publié: 09/09/2021
8. Jeff Hammerbacher — From data science to biomedicine

   Publié: 26/08/2021
9. Josh Bloom — The Link Between Astronomy and ML

   Publié: 20/08/2021
10. Xavier Amatriain — Building AI-powered Primary Care

    Publié: 30/07/2021
11. Spence Green — Enterprise-scale Machine Translation

    Publié: 16/07/2021
12. Roger & DJ — The Rise of Big Data and CA's COVID-19 Response

    Publié: 08/07/2021
13. Amelia & Filip — How Pandora Deploys ML Models into Production

    Publié: 01/07/2021
14. Luis Ceze — Accelerating Machine Learning Systems

    Publié: 24/06/2021
15. Matthew Davis — Bringing Genetic Insights to Everyone

    Publié: 17/06/2021
16. Clément Delangue — The Power of the Open Source Community

    Publié: 10/06/2021
17. Wojciech Zaremba — What Could Make AI Conscious?

    Publié: 03/06/2021
18. Phil Brown — How IPUs are Advancing Machine Intelligence

    Publié: 27/05/2021
19. Alyssa Simpson Rochwerger — Responsible ML in the Real World

    Publié: 20/05/2021
20. Sean Taylor — Business Decision Problems

    Publié: 13/05/2021