The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

719 Episodo

1. Neural Ordinary Differential Equations with David Duvenaud - #364

   Publicado: 9/4/2020
2. The Measure and Mismeasure of Fairness with Sharad Goel - #363

   Publicado: 6/4/2020
3. Simulating the Future of Traffic with RL w/ Cathy Wu - #362

   Publicado: 2/4/2020
4. Consciousness and COVID-19 with Yoshua Bengio - #361

   Publicado: 30/3/2020
5. Geometry-Aware Neural Rendering with Josh Tobin - #360

   Publicado: 26/3/2020
6. The Third Wave of Robotic Learning with Ken Goldberg - #359

   Publicado: 23/3/2020
7. Learning Visiolinguistic Representations with ViLBERT w/ Stefan Lee - #358

   Publicado: 18/3/2020
8. Upside-Down Reinforcement Learning with Jürgen Schmidhuber - #357

   Publicado: 16/3/2020
9. SLIDE: Smart Algorithms over Hardware Acceleration for Large-Scale Deep Learning with Beidi Chen - #356

   Publicado: 12/3/2020
10. Advancements in Machine Learning with Sergey Levine - #355

    Publicado: 9/3/2020
11. Secrets of a Kaggle Grandmaster with David Odaibo - #354

    Publicado: 5/3/2020
12. NLP for Mapping Physics Research with Matteo Chinazzi - #353

    Publicado: 2/3/2020
13. Metric Elicitation and Robust Distributed Learning with Sanmi Koyejo - #352

    Publicado: 27/2/2020
14. High-Dimensional Robust Statistics with Ilias Diakonikolas - #351

    Publicado: 24/2/2020
15. How AI Predicted the Coronavirus Outbreak with Kamran Khan - #350

    Publicado: 19/2/2020
16. Turning Ideas into ML Powered Products with Emmanuel Ameisen - #349

    Publicado: 17/2/2020
17. Algorithmic Injustices and Relational Ethics with Abeba Birhane - #348

    Publicado: 13/2/2020
18. AI for Agriculture and Global Food Security with Nemo Semret - #347

    Publicado: 10/2/2020
19. Practical Differential Privacy at LinkedIn with Ryan Rogers - #346

    Publicado: 7/2/2020
20. Networking Optimizations for Multi-Node Deep Learning on Kubernetes with Erez Cohen - #345

    Publicado: 5/2/2020