Towards Data Science
En podkast av The TDS team
Kategorier:
131 Episoder
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131. Jeremie Harris - TDS Podcast Finale: The future of AI, and the risks that come with it
Publisert: 19.10.2022 -
130. Edouard Harris - New Research: Advanced AI may tend to seek power *by default*
Publisert: 12.10.2022 -
129. Amber Teng - Building apps with a new generation of language models
Publisert: 5.10.2022 -
128. David Hirko - AI observability and data as a cybersecurity weakness
Publisert: 28.9.2022 -
127. Matthew Stewart - The emerging world of ML sensors
Publisert: 21.9.2022 -
126. JR King - Does the brain run on deep learning?
Publisert: 14.9.2022 -
125. Ryan Fedasiuk - Can the U.S. and China collaborate on AI safety?
Publisert: 7.9.2022 -
124. Alex Watson - Synthetic data could change everything
Publisert: 18.5.2022 -
123. Ala Shaabana and Jacob Steeves - AI on the blockchain (it actually might just make sense)
Publisert: 12.5.2022 -
122. Sadie St. Lawrence - Trends in data science
Publisert: 4.5.2022 -
121. Alexei Baevski - data2vec and the future of multimodal learning
Publisert: 27.4.2022 -
120. Liam Fedus and Barrett Zoph - AI scaling with mixture of expert models
Publisert: 20.4.2022 -
119. Jaime Sevilla - Projecting AI progress from compute trends
Publisert: 13.4.2022 -
118. Angela Fan - Generating Wikipedia articles with AI
Publisert: 6.4.2022 -
117. Beena Ammanath - Defining trustworthy AI
Publisert: 30.3.2022 -
116. Katya Sedova - AI-powered disinformation, present and future
Publisert: 23.3.2022 -
115. Irina Rish - Out-of-distribution generalization
Publisert: 9.3.2022 -
114. Sam Bowman - Are we *under-hyping* AI?
Publisert: 2.3.2022 -
113. Yaron Singer - Catching edge cases in AI
Publisert: 9.2.2022 -
112. Tali Raveh - AI, single cell genomics, and the new era of computational biology
Publisert: 2.2.2022
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.
