Gradient Dissent: Conversations on AI

120 Episodo

1. Polly Fordyce — Microfluidic Platforms and Machine Learning

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

    Publicado: 16/10/2020