Gradient Dissent: Conversations on AI

120 Episodes

1. Polly Fordyce — Microfluidic Platforms and Machine Learning

   Published: 4/29/2021
2. Adrien Gaidon — Advancing ML Research in Autonomous Vehicles

   Published: 4/22/2021
3. Nimrod Shabtay — Deployment and Monitoring at Nanit

   Published: 4/15/2021
4. Chris Mattmann — ML Applications on Earth, Mars, and Beyond

   Published: 4/8/2021
5. Vladlen Koltun — The Power of Simulation and Abstraction

   Published: 4/1/2021
6. Dominik Moritz — Building Intuitive Data Visualization Tools

   Published: 3/25/2021
7. Cade Metz — The Stories Behind the Rise of AI

   Published: 3/18/2021
8. Dave Selinger — AI and the Next Generation of Security Systems

   Published: 3/11/2021
9. Tim & Heinrich — Democraticizing Reinforcement Learning Research

   Published: 3/4/2021
10. Daphne Koller — Digital Biology and the Next Epoch of Science

    Published: 2/18/2021
11. Piero Molino — The Secret Behind Building Successful Open Source Projects

    Published: 2/11/2021
12. Rosanne Liu — Conducting Fundamental ML Research as a Nonprofit

    Published: 2/5/2021
13. Sean Gourley — NLP, National Defense, and Establishing Ground Truth

    Published: 1/28/2021
14. Peter Wang — Anaconda, Python, and Scientific Computing

    Published: 1/22/2021
15. Chris Anderson — Robocars, Drones, and WIRED Magazine

    Published: 1/14/2021
16. Adrien Treuille — Building Blazingly Fast Tools That People Love

    Published: 12/4/2020
17. Peter Norvig – Singularity Is in the Eye of the Beholder

    Published: 11/20/2020
18. Robert Nishihara — The State of Distributed Computing in ML

    Published: 11/13/2020
19. Ines & Sofie — Building Industrial-Strength NLP Pipelines

    Published: 10/29/2020
20. Daeil Kim — The Unreasonable Effectiveness of Synthetic Data

    Published: 10/16/2020