The Gradient: Perspectives on AI

147 Avsnitt

1. Soumith Chintala: PyTorch

   Publicerades: 2023-03-30
2. Sewon Min: The Science of Natural Language

   Publicerades: 2023-03-23
3. Richard Socher: Re-Imagining Search

   Publicerades: 2023-03-16
4. Joe Edelman: Meaning-Aligned AI

   Publicerades: 2023-03-09
5. Ed Grefenstette: Language, Semantics, Cohere

   Publicerades: 2023-03-02
6. Ken Liu: What Science Fiction Can Teach Us

   Publicerades: 2023-02-23
7. Hattie Zhou: Lottery Tickets and Algorithmic Reasoning in LLMs

   Publicerades: 2023-02-16
8. Kyunghyun Cho: Neural Machine Translation, Language, and Doing Good Science

   Publicerades: 2023-02-09
9. Steve Miller: Will AI Take Your Job? It's Not So Simple.

   Publicerades: 2023-02-02
10. Blair Attard-Frost: Canada’s AI strategy and the ethics of AI business practices

    Publicerades: 2023-01-26
11. Linus Lee: At the Boundary of Machine and Mind

    Publicerades: 2023-01-19
12. Suresh Venkatasubramanian: An AI Bill of Rights

    Publicerades: 2023-01-12
13. Pete Florence: Dense Visual Representations, NeRFs, and LLMs for Robotics

    Publicerades: 2023-01-05
14. Melanie Mitchell: Abstraction and Analogy in AI

    Publicerades: 2022-12-15
15. Marc Bellemare: Distributional Reinforcement Learning

    Publicerades: 2022-12-08
16. François Chollet: Keras and Measures of Intelligence

    Publicerades: 2022-12-01
17. Yoshua Bengio: The Past, Present, and Future of Deep Learning

    Publicerades: 2022-11-21
18. Kanjun Qiu and Josh Albrecht: Generally Intelligent

    Publicerades: 2022-11-17
19. Nathan Benaich: The State of AI Report

    Publicerades: 2022-11-10
20. Matt Sheehan: China's AI Strategy and Governance

    Publicerades: 2022-11-03