Gradient Dissent: Conversations on AI

107 Episodes

1. Johannes Otterbach — Unlocking ML for Traditional Companies

   Published: 12/05/2022
2. Mircea Neagovici — Robotic Process Automation (RPA) and ML

   Published: 21/04/2022
3. Jensen Huang — NVIDIA’s CEO on the Next Generation of AI and MLOps

   Published: 3/03/2022
4. Peter & Boris — Fine-tuning OpenAI's GPT-3

   Published: 10/02/2022
5. Ion Stoica — Spark, Ray, and Enterprise Open Source

   Published: 20/01/2022
6. Stephan Fabel — Efficient Supercomputing with NVIDIA's Base Command Platform

   Published: 6/01/2022
7. Chris Padwick — Smart Machines for More Sustainable Farming

   Published: 23/12/2021
8. Kathryn Hume — Financial Models, ML, and 17th-Century Philosophy

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

   Published: 2/12/2021
10. Chris, Shawn, and Lukas — The Weights & Biases Journey

    Published: 5/11/2021
11. Pete Warden — Practical Applications of TinyML

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

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

    Published: 23/09/2021
14. Emily M. Bender — Language Models and Linguistics

    Published: 9/09/2021
15. Jeff Hammerbacher — From data science to biomedicine

    Published: 26/08/2021
16. Josh Bloom — The Link Between Astronomy and ML

    Published: 20/08/2021
17. Xavier Amatriain — Building AI-powered Primary Care

    Published: 30/07/2021
18. Spence Green — Enterprise-scale Machine Translation

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

    Published: 8/07/2021
20. Amelia & Filip — How Pandora Deploys ML Models into Production

    Published: 1/07/2021