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Towards Data Science

En podcast av: The TDS team

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

Our American listeners can also listen to Towards Data Science at our American site

131 Avsnitt

131. Jeremie Harris - TDS Podcast Finale: The future of AI, and the risks that come with it
Publicerades 2022-10-19

130. Edouard Harris - New Research: Advanced AI may tend to seek power *by default*
Publicerades 2022-10-12
129. Amber Teng - Building apps with a new generation of language models
Publicerades 2022-10-05
128. David Hirko - AI observability and data as a cybersecurity weakness
Publicerades 2022-09-28
127. Matthew Stewart - The emerging world of ML sensors
Publicerades 2022-09-21
126. JR King - Does the brain run on deep learning?
Publicerades 2022-09-14
125. Ryan Fedasiuk - Can the U.S. and China collaborate on AI safety?
Publicerades 2022-09-07
124. Alex Watson - Synthetic data could change everything
Publicerades 2022-05-18
123. Ala Shaabana and Jacob Steeves - AI on the blockchain (it actually might just make sense)
Publicerades 2022-05-12
122. Sadie St. Lawrence - Trends in data science
Publicerades 2022-05-04
121. Alexei Baevski - data2vec and the future of multimodal learning
Publicerades 2022-04-27
120. Liam Fedus and Barrett Zoph - AI scaling with mixture of expert models
Publicerades 2022-04-20
119. Jaime Sevilla - Projecting AI progress from compute trends
Publicerades 2022-04-13
118. Angela Fan - Generating Wikipedia articles with AI
Publicerades 2022-04-06
117. Beena Ammanath - Defining trustworthy AI
Publicerades 2022-03-30
116. Katya Sedova - AI-powered disinformation, present and future
Publicerades 2022-03-23
115. Irina Rish - Out-of-distribution generalization
Publicerades 2022-03-09
114. Sam Bowman - Are we *under-hyping* AI?
Publicerades 2022-03-02
113. Yaron Singer - Catching edge cases in AI
Publicerades 2022-02-09
112. Tali Raveh - AI, single cell genomics, and the new era of computational biology
Publicerades 2022-02-02

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.

Towards Data Science

131 Avsnitt

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

130. Edouard Harris - New Research: Advanced AI may tend to seek power by default

129. Amber Teng - Building apps with a new generation of language models

128. David Hirko - AI observability and data as a cybersecurity weakness

127. Matthew Stewart - The emerging world of ML sensors

126. JR King - Does the brain run on deep learning?

125. Ryan Fedasiuk - Can the U.S. and China collaborate on AI safety?

124. Alex Watson - Synthetic data could change everything

123. Ala Shaabana and Jacob Steeves - AI on the blockchain (it actually might just make sense)

122. Sadie St. Lawrence - Trends in data science

121. Alexei Baevski - data2vec and the future of multimodal learning

120. Liam Fedus and Barrett Zoph - AI scaling with mixture of expert models

119. Jaime Sevilla - Projecting AI progress from compute trends

118. Angela Fan - Generating Wikipedia articles with AI

117. Beena Ammanath - Defining trustworthy AI

116. Katya Sedova - AI-powered disinformation, present and future

115. Irina Rish - Out-of-distribution generalization

114. Sam Bowman - Are we under-hyping AI?

113. Yaron Singer - Catching edge cases in AI

112. Tali Raveh - AI, single cell genomics, and the new era of computational biology

131 Avsnitt

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

130. Edouard Harris - New Research: Advanced AI may tend to seek power *by default*

129. Amber Teng - Building apps with a new generation of language models

128. David Hirko - AI observability and data as a cybersecurity weakness

127. Matthew Stewart - The emerging world of ML sensors

126. JR King - Does the brain run on deep learning?

125. Ryan Fedasiuk - Can the U.S. and China collaborate on AI safety?

124. Alex Watson - Synthetic data could change everything

123. Ala Shaabana and Jacob Steeves - AI on the blockchain (it actually might just make sense)

122. Sadie St. Lawrence - Trends in data science

121. Alexei Baevski - data2vec and the future of multimodal learning

120. Liam Fedus and Barrett Zoph - AI scaling with mixture of expert models

119. Jaime Sevilla - Projecting AI progress from compute trends

118. Angela Fan - Generating Wikipedia articles with AI

117. Beena Ammanath - Defining trustworthy AI

116. Katya Sedova - AI-powered disinformation, present and future

115. Irina Rish - Out-of-distribution generalization

114. Sam Bowman - Are we *under-hyping* AI?

113. Yaron Singer - Catching edge cases in AI

112. Tali Raveh - AI, single cell genomics, and the new era of computational biology

130. Edouard Harris - New Research: Advanced AI may tend to seek power by default

114. Sam Bowman - Are we under-hyping AI?