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

733 Avsnitt

1. The Fallacy of "Ground Truth" with Shayan Mohanty - #576

   Publicerades: 2022-05-30
2. Principle-centric AI with Adrien Gaidon - #575

   Publicerades: 2022-05-23
3. Data Debt in Machine Learning with D. Sculley - #574

   Publicerades: 2022-05-19
4. AI for Enterprise Decisioning at Scale with Rob Walker - #573

   Publicerades: 2022-05-16
5. Data Rights, Quantification and Governance for Ethical AI with Margaret Mitchell - #572

   Publicerades: 2022-05-12
6. Studying Machine Intelligence with Been Kim - #571

   Publicerades: 2022-05-09
7. Advances in Neural Compression with Auke Wiggers - #570

   Publicerades: 2022-05-02
8. Mixture-of-Experts and Trends in Large-Scale Language Modeling with Irwan Bello - #569

   Publicerades: 2022-04-25
9. Daring to DAIR: Distributed AI Research with Timnit Gebru - #568

   Publicerades: 2022-04-18
10. Hierarchical and Continual RL with Doina Precup - #567

    Publicerades: 2022-04-11
11. Open-Source Drug Discovery with DeepChem with Bharath Ramsundar - #566

    Publicerades: 2022-04-04
12. Advancing Hands-On Machine Learning Education with Sebastian Raschka - #565

    Publicerades: 2022-03-28
13. Big Science and Embodied Learning at Hugging Face 🤗 with Thomas Wolf - #564

    Publicerades: 2022-03-21
14. Full-Stack AI Systems Development with Murali Akula - #563

    Publicerades: 2022-03-14
15. 100x Improvements in Deep Learning Performance with Sparsity, w/ Subutai Ahmad - #562

    Publicerades: 2022-03-07
16. Scaling BERT and GPT for Financial Services with Jennifer Glore - #561

    Publicerades: 2022-02-28
17. Trends in Deep Reinforcement Learning with Kamyar Azizzadenesheli - #560

    Publicerades: 2022-02-21
18. Deep Reinforcement Learning at the Edge of the Statistical Precipice with Rishabh Agarwal - #559

    Publicerades: 2022-02-14
19. Designing New Energy Materials with Machine Learning with Rafael Gomez-Bombarelli - #558

    Publicerades: 2022-02-07
20. Differentiable Programming for Oceanography with Patrick Heimbach - #557

    Publicerades: 2022-01-31