Gradient Dissent: Conversations on AI

A podcast by Lukas Biewald

Categorie:

115 Episodio

  1. Jeremy Howard — The Story of fast.ai and Why Python Is Not the Future of ML

    Pubblicato: 25/08/2020
  2. Anantha Kancherla — Building Level 5 Autonomous Vehicles

    Pubblicato: 12/08/2020
  3. Bharath Ramsundar — Deep Learning for Molecules and Medicine Discovery

    Pubblicato: 05/08/2020
  4. Chip Huyen — ML Research and Production Pipelines

    Pubblicato: 29/07/2020
  5. Peter Skomoroch — Product Management for AI

    Pubblicato: 22/07/2020
  6. Josh Tobin — Productionizing ML Models

    Pubblicato: 08/07/2020
  7. Miles Brundage — Societal Impacts of Artificial Intelligence

    Pubblicato: 01/07/2020
  8. Hamel Husain — Building Machine Learning Tools

    Pubblicato: 24/06/2020
  9. Peter Welinder — Deep Reinforcement Learning and Robotics

    Pubblicato: 17/06/2020
  10. Vicki Boykis — Machine Learning Across Industries

    Pubblicato: 04/06/2020
  11. Angela & Danielle — Designing ML Models for Millions of Consumer Robots

    Pubblicato: 06/05/2020
  12. Jack Clark — Building Trustworthy AI Systems

    Pubblicato: 22/04/2020
  13. Rachael Tatman — Conversational AI and Linguistics

    Pubblicato: 07/04/2020
  14. Nicolas Koumchatzky — Machine Learning in Production for Self-Driving Cars

    Pubblicato: 21/03/2020
  15. Brandon Rohrer — Machine Learning in Production for Robots

    Pubblicato: 11/03/2020

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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.

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