Towards Data Science
A podcast by The TDS team
131 Episoade
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131. Jeremie Harris - TDS Podcast Finale: The future of AI, and the risks that come with it
Publicat: 19.10.2022 -
130. Edouard Harris - New Research: Advanced AI may tend to seek power *by default*
Publicat: 12.10.2022 -
129. Amber Teng - Building apps with a new generation of language models
Publicat: 05.10.2022 -
128. David Hirko - AI observability and data as a cybersecurity weakness
Publicat: 28.09.2022 -
127. Matthew Stewart - The emerging world of ML sensors
Publicat: 21.09.2022 -
126. JR King - Does the brain run on deep learning?
Publicat: 14.09.2022 -
125. Ryan Fedasiuk - Can the U.S. and China collaborate on AI safety?
Publicat: 07.09.2022 -
124. Alex Watson - Synthetic data could change everything
Publicat: 18.05.2022 -
123. Ala Shaabana and Jacob Steeves - AI on the blockchain (it actually might just make sense)
Publicat: 12.05.2022 -
122. Sadie St. Lawrence - Trends in data science
Publicat: 04.05.2022 -
121. Alexei Baevski - data2vec and the future of multimodal learning
Publicat: 27.04.2022 -
120. Liam Fedus and Barrett Zoph - AI scaling with mixture of expert models
Publicat: 20.04.2022 -
119. Jaime Sevilla - Projecting AI progress from compute trends
Publicat: 13.04.2022 -
118. Angela Fan - Generating Wikipedia articles with AI
Publicat: 06.04.2022 -
117. Beena Ammanath - Defining trustworthy AI
Publicat: 30.03.2022 -
116. Katya Sedova - AI-powered disinformation, present and future
Publicat: 23.03.2022 -
115. Irina Rish - Out-of-distribution generalization
Publicat: 09.03.2022 -
114. Sam Bowman - Are we *under-hyping* AI?
Publicat: 02.03.2022 -
113. Yaron Singer - Catching edge cases in AI
Publicat: 09.02.2022 -
112. Tali Raveh - AI, single cell genomics, and the new era of computational biology
Publicat: 02.02.2022
Note: The TDS podcast's current run has ended. Researchers and business leaders at the forefront of the field unpack the most pressing questions around data science and AI.
