The Gradient: Perspectives on AI

147 Episodo

1. Harvey Lederman: Propositional Attitudes and Reference in Language Models

   Publicado: 11/1/2024
2. Eric Jang: AI is Good For You

   Publicado: 4/1/2024
3. 2023 in AI, with Nathan Benaich

   Publicado: 28/12/2023
4. Kathleen Fisher: DARPA and AI for National Security

   Publicado: 21/12/2023
5. Peter Tse: The Neuroscience of Consciousness and Free Will

   Publicado: 14/12/2023
6. Vera Liao: AI Explainability and Transparency

   Publicado: 7/12/2023
7. Thomas Dietterich: From the Foundations

   Publicado: 30/11/2023
8. Martin Wattenberg: ML Visualization and Interpretability

   Publicado: 16/11/2023
9. Laurence Liew: AI Singapore

   Publicado: 9/11/2023
10. Michael Levin & Adam Goldstein: Intelligence and its Many Scales

    Publicado: 2/11/2023
11. Jonathan Frankle: From Lottery Tickets to LLMs

    Publicado: 26/10/2023
12. Nao Tokui: "Surfing" Musical Creativity with AI

    Publicado: 19/10/2023
13. Divyansh Kaushik: The Realities of AI Policy

    Publicado: 12/10/2023
14. Tal Linzen: Psycholinguistics and Language Modeling

    Publicado: 5/10/2023
15. Kevin K. Yang: Engineering Proteins with ML

    Publicado: 28/9/2023
16. Arjun Ramani & Zhengdong Wang: Why Transformative AI is Really, Really Hard to Achieve

    Publicado: 21/9/2023
17. Miles Grimshaw: Benchmark, LangChain, and Investing in AI

    Publicado: 14/9/2023
18. Shreya Shankar: Machine Learning in the Real World

    Publicado: 7/9/2023
19. Stevan Harnad: AI's Symbol Grounding Problem

    Publicado: 31/8/2023
20. Terry Winograd: AI, HCI, Language, and Cognition

    Publicado: 24/8/2023