Machine Learning Street Talk (MLST)

208 Episodo

1. John Palazza - Vice President of Global Sales @ CentML

   Publicado: 10/3/2025
2. Transformers Need Glasses! - Federico Barbero

   Publicado: 8/3/2025
3. Sakana AI - Chris Lu, Robert Tjarko Lange, Cong Lu

   Publicado: 1/3/2025
4. Clement Bonnet - Can Latent Program Networks Solve Abstract Reasoning?

   Publicado: 19/2/2025
5. Prof. Jakob Foerster - ImageNet Moment for Reinforcement Learning?

   Publicado: 18/2/2025
6. Daniel Franzen & Jan Disselhoff - ARC Prize 2024 winners

   Publicado: 12/2/2025
7. Sepp Hochreiter - LSTM: The Comeback Story?

   Publicado: 12/2/2025
8. Want to Understand Neural Networks? Think Elastic Origami! - Prof. Randall Balestriero

   Publicado: 8/2/2025
9. Nicholas Carlini (Google DeepMind)

   Publicado: 25/1/2025
10. Subbarao Kambhampati - Do o1 models search?

    Publicado: 23/1/2025
11. How Do AI Models Actually Think? - Laura Ruis

    Publicado: 20/1/2025
12. Jurgen Schmidhuber on Humans co-existing with AIs

    Publicado: 16/1/2025
13. Yoshua Bengio - Designing out Agency for Safe AI

    Publicado: 15/1/2025
14. Francois Chollet - ARC reflections - NeurIPS 2024

    Publicado: 9/1/2025
15. Jeff Clune - Agent AI Needs Darwin

    Publicado: 4/1/2025
16. Neel Nanda - Mechanistic Interpretability (Sparse Autoencoders)

    Publicado: 7/12/2024
17. Jonas Hübotter (ETH) - Test Time Inference

    Publicado: 1/12/2024
18. How AI Could Be A Mathematician's Co-Pilot by 2026 (Prof. Swarat Chaudhuri)

    Publicado: 25/11/2024
19. Nora Belrose - AI Development, Safety, and Meaning

    Publicado: 17/11/2024
20. Why Your GPUs are underutilised for AI - CentML CEO Explains

    Publicado: 13/11/2024