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

745 Folgen

1. Synthetic Data Generation for Robotics with Bill Vass - #588

   Vom: 22.8.2022
2. Multi-Device, Multi-Use-Case Optimization with Jeff Gehlhaar - #587

   Vom: 15.8.2022
3. Causal Conceptions of Fairness and their Consequences with Sharad Goel - #586

   Vom: 8.8.2022
4. Brain-Inspired Hardware and Algorithm Co-Design with Melika Payvand - #585

   Vom: 1.8.2022
5. Equivariant Priors for Compressed Sensing with Arash Behboodi - #584

   Vom: 25.7.2022
6. Managing Data Labeling Ops for Success with Audrey Smith - #583

   Vom: 18.7.2022
7. Engineering an ML-Powered Developer-First Search Engine with Richard Socher - #582

   Vom: 11.7.2022
8. On The Path Towards Robot Vision with Aljosa Osep - #581

   Vom: 4.7.2022
9. More Language, Less Labeling with Kate Saenko - #580

   Vom: 27.6.2022
10. Optical Flow Estimation, Panoptic Segmentation, and Vision Transformers with Fatih Porikli - #579

    Vom: 20.6.2022
11. Data Governance for Data Science with Adam Wood - #578

    Vom: 13.6.2022
12. Feature Platforms for Data-Centric AI with Mike Del Balso - #577

    Vom: 6.6.2022
13. The Fallacy of "Ground Truth" with Shayan Mohanty - #576

    Vom: 30.5.2022
14. Principle-centric AI with Adrien Gaidon - #575

    Vom: 23.5.2022
15. Data Debt in Machine Learning with D. Sculley - #574

    Vom: 19.5.2022
16. AI for Enterprise Decisioning at Scale with Rob Walker - #573

    Vom: 16.5.2022
17. Data Rights, Quantification and Governance for Ethical AI with Margaret Mitchell - #572

    Vom: 12.5.2022
18. Studying Machine Intelligence with Been Kim - #571

    Vom: 9.5.2022
19. Advances in Neural Compression with Auke Wiggers - #570

    Vom: 2.5.2022
20. Mixture-of-Experts and Trends in Large-Scale Language Modeling with Irwan Bello - #569

    Vom: 25.4.2022