Gradient Dissent: Conversations on AI

En podcast af Lukas Biewald

Kategorier:

120 Episoder

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

    Udgivet: 16.12.2021
  2. Sean & Greg — Biology and ML for Drug Discovery

    Udgivet: 2.12.2021
  3. Chris, Shawn, and Lukas — The Weights & Biases Journey

    Udgivet: 5.11.2021
  4. Pete Warden — Practical Applications of TinyML

    Udgivet: 21.10.2021
  5. Pieter Abbeel — Robotics, Startups, and Robotics Startups

    Udgivet: 7.10.2021
  6. Chris Albon — ML Models and Infrastructure at Wikimedia

    Udgivet: 23.9.2021
  7. Emily M. Bender — Language Models and Linguistics

    Udgivet: 9.9.2021
  8. Jeff Hammerbacher — From data science to biomedicine

    Udgivet: 26.8.2021
  9. Josh Bloom — The Link Between Astronomy and ML

    Udgivet: 20.8.2021
  10. Xavier Amatriain — Building AI-powered Primary Care

    Udgivet: 30.7.2021
  11. Spence Green — Enterprise-scale Machine Translation

    Udgivet: 16.7.2021
  12. Roger & DJ — The Rise of Big Data and CA's COVID-19 Response

    Udgivet: 8.7.2021
  13. Amelia & Filip — How Pandora Deploys ML Models into Production

    Udgivet: 1.7.2021
  14. Luis Ceze — Accelerating Machine Learning Systems

    Udgivet: 24.6.2021
  15. Matthew Davis — Bringing Genetic Insights to Everyone

    Udgivet: 17.6.2021
  16. Clément Delangue — The Power of the Open Source Community

    Udgivet: 10.6.2021
  17. Wojciech Zaremba — What Could Make AI Conscious?

    Udgivet: 3.6.2021
  18. Phil Brown — How IPUs are Advancing Machine Intelligence

    Udgivet: 27.5.2021
  19. Alyssa Simpson Rochwerger — Responsible ML in the Real World

    Udgivet: 20.5.2021
  20. Sean Taylor — Business Decision Problems

    Udgivet: 13.5.2021

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Join Lukas Biewald on Gradient Dissent, an AI-focused podcast brought to you by Weights & Biases. Dive into fascinating conversations with industry giants from NVIDIA, Meta, Google, Lyft, OpenAI, and more. Explore the cutting-edge of AI and learn the intricacies of bringing models into production.

Visit the podcast's native language site