The Gradient: Perspectives on AI

147 Folgen

1. Luis Voloch: AI and Biology

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

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

   Vom: 6.10.2022
4. Varun Ganapathi: AKASA, AI and Healthcare

   Vom: 29.9.2022
5. Joel Lehman: Open-Endedness and Evolution through Large Models

   Vom: 22.9.2022
6. Andrew Feldman: Cerebras and AI Hardware

   Vom: 15.9.2022
7. Christopher Manning: Linguistics and the Development of NLP

   Vom: 8.9.2022
8. Jeff Clune: Genetic Algorithms, Quality-Diversity, Curiosity

   Vom: 1.9.2022
9. Catherine Olsson and Nelson Elhage: Anthropic, Understanding Transformers

   Vom: 26.8.2022
10. Been Kim: Interpretable Machine Learning

    Vom: 18.8.2022
11. Laura Weidinger: Ethical Risks, Harms, and Alignment of Large Language Models

    Vom: 5.8.2022
12. Sebastian Raschka: AI Education and Research

    Vom: 29.7.2022
13. Lt. General Jack Shanahan: AI in the DoD, Project Maven, and Bridging the Tech-DoD Gap

    Vom: 22.7.2022
14. Sara Hooker: Cohere For AI, the Hardware Lottery, and DL Tradeoffs

    Vom: 14.7.2022
15. Lukas Biewald: Crowdsourcing at CrowdFlower and ML Tooling at Weights & Biases

    Vom: 7.7.2022
16. Chip Huyen: Machine Learning Tools and Systems

    Vom: 30.6.2022
17. Preetum Nakkiran: An Empirical Theory of Deep Learning

    Vom: 24.6.2022
18. Max Woolf: Data Science at BuzzFeed and AI Content Generation

    Vom: 16.6.2022
19. Rosanne Liu: Paths in AI Research and ML Collective

    Vom: 10.6.2022
20. Ben Green: "Tech for Social Good" Needs to Do More

    Vom: 2.6.2022