The Gradient: Perspectives on AI

144 Episoder

1. Varun Ganapathi: AKASA, AI and Healthcare

   Udgivet: 29.9.2022
2. Joel Lehman: Open-Endedness and Evolution through Large Models

   Udgivet: 22.9.2022
3. Andrew Feldman: Cerebras and AI Hardware

   Udgivet: 15.9.2022
4. Christopher Manning: Linguistics and the Development of NLP

   Udgivet: 8.9.2022
5. Jeff Clune: Genetic Algorithms, Quality-Diversity, Curiosity

   Udgivet: 1.9.2022
6. Catherine Olsson and Nelson Elhage: Anthropic, Understanding Transformers

   Udgivet: 26.8.2022
7. Been Kim: Interpretable Machine Learning

   Udgivet: 18.8.2022
8. Laura Weidinger: Ethical Risks, Harms, and Alignment of Large Language Models

   Udgivet: 5.8.2022
9. Sebastian Raschka: AI Education and Research

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

    Udgivet: 22.7.2022
11. Sara Hooker: Cohere For AI, the Hardware Lottery, and DL Tradeoffs

    Udgivet: 14.7.2022
12. Lukas Biewald: Crowdsourcing at CrowdFlower and ML Tooling at Weights & Biases

    Udgivet: 7.7.2022
13. Chip Huyen: Machine Learning Tools and Systems

    Udgivet: 30.6.2022
14. Preetum Nakkiran: An Empirical Theory of Deep Learning

    Udgivet: 24.6.2022
15. Max Woolf: Data Science at BuzzFeed and AI Content Generation

    Udgivet: 16.6.2022
16. Rosanne Liu: Paths in AI Research and ML Collective

    Udgivet: 10.6.2022
17. Ben Green: "Tech for Social Good" Needs to Do More

    Udgivet: 2.6.2022
18. Max Braun: Teaching Robots to Help People in their Everyday Lives

    Udgivet: 26.5.2022
19. Yejin Choi: Teaching Machines Common Sense and Morality

    Udgivet: 19.5.2022
20. David Chalmers on AI and Consciousness

    Udgivet: 12.5.2022