The Gradient: Perspectives on AI

147 Avsnitt

1. Luis Voloch: AI and Biology

   Publicerades: 2022-10-27
2. Zachary Lipton: Where Machine Learning Falls Short

   Publicerades: 2022-10-13
3. Stuart Russell: The Foundations of Artificial Intelligence

   Publicerades: 2022-10-06
4. Varun Ganapathi: AKASA, AI and Healthcare

   Publicerades: 2022-09-29
5. Joel Lehman: Open-Endedness and Evolution through Large Models

   Publicerades: 2022-09-22
6. Andrew Feldman: Cerebras and AI Hardware

   Publicerades: 2022-09-15
7. Christopher Manning: Linguistics and the Development of NLP

   Publicerades: 2022-09-08
8. Jeff Clune: Genetic Algorithms, Quality-Diversity, Curiosity

   Publicerades: 2022-09-01
9. Catherine Olsson and Nelson Elhage: Anthropic, Understanding Transformers

   Publicerades: 2022-08-26
10. Been Kim: Interpretable Machine Learning

    Publicerades: 2022-08-18
11. Laura Weidinger: Ethical Risks, Harms, and Alignment of Large Language Models

    Publicerades: 2022-08-05
12. Sebastian Raschka: AI Education and Research

    Publicerades: 2022-07-29
13. Lt. General Jack Shanahan: AI in the DoD, Project Maven, and Bridging the Tech-DoD Gap

    Publicerades: 2022-07-22
14. Sara Hooker: Cohere For AI, the Hardware Lottery, and DL Tradeoffs

    Publicerades: 2022-07-14
15. Lukas Biewald: Crowdsourcing at CrowdFlower and ML Tooling at Weights & Biases

    Publicerades: 2022-07-07
16. Chip Huyen: Machine Learning Tools and Systems

    Publicerades: 2022-06-30
17. Preetum Nakkiran: An Empirical Theory of Deep Learning

    Publicerades: 2022-06-24
18. Max Woolf: Data Science at BuzzFeed and AI Content Generation

    Publicerades: 2022-06-16
19. Rosanne Liu: Paths in AI Research and ML Collective

    Publicerades: 2022-06-10
20. Ben Green: "Tech for Social Good" Needs to Do More

    Publicerades: 2022-06-02