The Gradient: Perspectives on AI

147 Avsnitt

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

   Publicerades: 2024-01-11
2. Eric Jang: AI is Good For You

   Publicerades: 2024-01-04
3. 2023 in AI, with Nathan Benaich

   Publicerades: 2023-12-28
4. Kathleen Fisher: DARPA and AI for National Security

   Publicerades: 2023-12-21
5. Peter Tse: The Neuroscience of Consciousness and Free Will

   Publicerades: 2023-12-14
6. Vera Liao: AI Explainability and Transparency

   Publicerades: 2023-12-07
7. Thomas Dietterich: From the Foundations

   Publicerades: 2023-11-30
8. Martin Wattenberg: ML Visualization and Interpretability

   Publicerades: 2023-11-16
9. Laurence Liew: AI Singapore

   Publicerades: 2023-11-09
10. Michael Levin & Adam Goldstein: Intelligence and its Many Scales

    Publicerades: 2023-11-02
11. Jonathan Frankle: From Lottery Tickets to LLMs

    Publicerades: 2023-10-26
12. Nao Tokui: "Surfing" Musical Creativity with AI

    Publicerades: 2023-10-19
13. Divyansh Kaushik: The Realities of AI Policy

    Publicerades: 2023-10-12
14. Tal Linzen: Psycholinguistics and Language Modeling

    Publicerades: 2023-10-05
15. Kevin K. Yang: Engineering Proteins with ML

    Publicerades: 2023-09-28
16. Arjun Ramani & Zhengdong Wang: Why Transformative AI is Really, Really Hard to Achieve

    Publicerades: 2023-09-21
17. Miles Grimshaw: Benchmark, LangChain, and Investing in AI

    Publicerades: 2023-09-14
18. Shreya Shankar: Machine Learning in the Real World

    Publicerades: 2023-09-07
19. Stevan Harnad: AI's Symbol Grounding Problem

    Publicerades: 2023-08-31
20. Terry Winograd: AI, HCI, Language, and Cognition

    Publicerades: 2023-08-24