Gradient Dissent: Conversations on AI

120 Episodio

1. Polly Fordyce — Microfluidic Platforms and Machine Learning

   Pubblicato: 29/04/2021
2. Adrien Gaidon — Advancing ML Research in Autonomous Vehicles

   Pubblicato: 22/04/2021
3. Nimrod Shabtay — Deployment and Monitoring at Nanit

   Pubblicato: 15/04/2021
4. Chris Mattmann — ML Applications on Earth, Mars, and Beyond

   Pubblicato: 08/04/2021
5. Vladlen Koltun — The Power of Simulation and Abstraction

   Pubblicato: 01/04/2021
6. Dominik Moritz — Building Intuitive Data Visualization Tools

   Pubblicato: 25/03/2021
7. Cade Metz — The Stories Behind the Rise of AI

   Pubblicato: 18/03/2021
8. Dave Selinger — AI and the Next Generation of Security Systems

   Pubblicato: 11/03/2021
9. Tim & Heinrich — Democraticizing Reinforcement Learning Research

   Pubblicato: 04/03/2021
10. Daphne Koller — Digital Biology and the Next Epoch of Science

    Pubblicato: 18/02/2021
11. Piero Molino — The Secret Behind Building Successful Open Source Projects

    Pubblicato: 11/02/2021
12. Rosanne Liu — Conducting Fundamental ML Research as a Nonprofit

    Pubblicato: 05/02/2021
13. Sean Gourley — NLP, National Defense, and Establishing Ground Truth

    Pubblicato: 28/01/2021
14. Peter Wang — Anaconda, Python, and Scientific Computing

    Pubblicato: 22/01/2021
15. Chris Anderson — Robocars, Drones, and WIRED Magazine

    Pubblicato: 14/01/2021
16. Adrien Treuille — Building Blazingly Fast Tools That People Love

    Pubblicato: 04/12/2020
17. Peter Norvig – Singularity Is in the Eye of the Beholder

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

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

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

    Pubblicato: 16/10/2020