120 Afleveringen

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

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

    Gepubliceerd: 2-12-2021
  3. Chris, Shawn, and Lukas — The Weights & Biases Journey

    Gepubliceerd: 5-11-2021
  4. Pete Warden — Practical Applications of TinyML

    Gepubliceerd: 21-10-2021
  5. Pieter Abbeel — Robotics, Startups, and Robotics Startups

    Gepubliceerd: 7-10-2021
  6. Chris Albon — ML Models and Infrastructure at Wikimedia

    Gepubliceerd: 23-9-2021
  7. Emily M. Bender — Language Models and Linguistics

    Gepubliceerd: 9-9-2021
  8. Jeff Hammerbacher — From data science to biomedicine

    Gepubliceerd: 26-8-2021
  9. Josh Bloom — The Link Between Astronomy and ML

    Gepubliceerd: 20-8-2021
  10. Xavier Amatriain — Building AI-powered Primary Care

    Gepubliceerd: 30-7-2021
  11. Spence Green — Enterprise-scale Machine Translation

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

    Gepubliceerd: 8-7-2021
  13. Amelia & Filip — How Pandora Deploys ML Models into Production

    Gepubliceerd: 1-7-2021
  14. Luis Ceze — Accelerating Machine Learning Systems

    Gepubliceerd: 24-6-2021
  15. Matthew Davis — Bringing Genetic Insights to Everyone

    Gepubliceerd: 17-6-2021
  16. Clément Delangue — The Power of the Open Source Community

    Gepubliceerd: 10-6-2021
  17. Wojciech Zaremba — What Could Make AI Conscious?

    Gepubliceerd: 3-6-2021
  18. Phil Brown — How IPUs are Advancing Machine Intelligence

    Gepubliceerd: 27-5-2021
  19. Alyssa Simpson Rochwerger — Responsible ML in the Real World

    Gepubliceerd: 20-5-2021
  20. Sean Taylor — Business Decision Problems

    Gepubliceerd: 13-5-2021

4 / 6

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