The Gradient: Perspectives on AI

147 Episoade

1. Luis Voloch: AI and Biology

   Publicat: 27.10.2022
2. Zachary Lipton: Where Machine Learning Falls Short

   Publicat: 13.10.2022
3. Stuart Russell: The Foundations of Artificial Intelligence

   Publicat: 06.10.2022
4. Varun Ganapathi: AKASA, AI and Healthcare

   Publicat: 29.09.2022
5. Joel Lehman: Open-Endedness and Evolution through Large Models

   Publicat: 22.09.2022
6. Andrew Feldman: Cerebras and AI Hardware

   Publicat: 15.09.2022
7. Christopher Manning: Linguistics and the Development of NLP

   Publicat: 08.09.2022
8. Jeff Clune: Genetic Algorithms, Quality-Diversity, Curiosity

   Publicat: 01.09.2022
9. Catherine Olsson and Nelson Elhage: Anthropic, Understanding Transformers

   Publicat: 26.08.2022
10. Been Kim: Interpretable Machine Learning

    Publicat: 18.08.2022
11. Laura Weidinger: Ethical Risks, Harms, and Alignment of Large Language Models

    Publicat: 05.08.2022
12. Sebastian Raschka: AI Education and Research

    Publicat: 29.07.2022
13. Lt. General Jack Shanahan: AI in the DoD, Project Maven, and Bridging the Tech-DoD Gap

    Publicat: 22.07.2022
14. Sara Hooker: Cohere For AI, the Hardware Lottery, and DL Tradeoffs

    Publicat: 14.07.2022
15. Lukas Biewald: Crowdsourcing at CrowdFlower and ML Tooling at Weights & Biases

    Publicat: 07.07.2022
16. Chip Huyen: Machine Learning Tools and Systems

    Publicat: 30.06.2022
17. Preetum Nakkiran: An Empirical Theory of Deep Learning

    Publicat: 24.06.2022
18. Max Woolf: Data Science at BuzzFeed and AI Content Generation

    Publicat: 16.06.2022
19. Rosanne Liu: Paths in AI Research and ML Collective

    Publicat: 10.06.2022
20. Ben Green: "Tech for Social Good" Needs to Do More

    Publicat: 02.06.2022