Towards Data Science

131 Avsnitt

1. 131. Jeremie Harris - TDS Podcast Finale: The future of AI, and the risks that come with it

   Publicerades: 2022-10-19
2. 130. Edouard Harris - New Research: Advanced AI may tend to seek power *by default*

   Publicerades: 2022-10-12
3. 129. Amber Teng - Building apps with a new generation of language models

   Publicerades: 2022-10-05
4. 128. David Hirko - AI observability and data as a cybersecurity weakness

   Publicerades: 2022-09-28
5. 127. Matthew Stewart - The emerging world of ML sensors

   Publicerades: 2022-09-21
6. 126. JR King - Does the brain run on deep learning?

   Publicerades: 2022-09-14
7. 125. Ryan Fedasiuk - Can the U.S. and China collaborate on AI safety?

   Publicerades: 2022-09-07
8. 124. Alex Watson - Synthetic data could change everything

   Publicerades: 2022-05-18
9. 123. Ala Shaabana and Jacob Steeves - AI on the blockchain (it actually might just make sense)

   Publicerades: 2022-05-12
10. 122. Sadie St. Lawrence - Trends in data science

    Publicerades: 2022-05-04
11. 121. Alexei Baevski - data2vec and the future of multimodal learning

    Publicerades: 2022-04-27
12. 120. Liam Fedus and Barrett Zoph - AI scaling with mixture of expert models

    Publicerades: 2022-04-20
13. 119. Jaime Sevilla - Projecting AI progress from compute trends

    Publicerades: 2022-04-13
14. 118. Angela Fan - Generating Wikipedia articles with AI

    Publicerades: 2022-04-06
15. 117. Beena Ammanath - Defining trustworthy AI

    Publicerades: 2022-03-30
16. 116. Katya Sedova - AI-powered disinformation, present and future

    Publicerades: 2022-03-23
17. 115. Irina Rish - Out-of-distribution generalization

    Publicerades: 2022-03-09
18. 114. Sam Bowman - Are we *under-hyping* AI?

    Publicerades: 2022-03-02
19. 113. Yaron Singer - Catching edge cases in AI

    Publicerades: 2022-02-09
20. 112. Tali Raveh - AI, single cell genomics, and the new era of computational biology

    Publicerades: 2022-02-02