Towards Data Science
Podcast autorstwa The TDS team
131 Odcinki
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111. Mo Gawdat - Scary Smart: A former Google exec’s perspective on AI risk
Opublikowany: 26.01.2022 -
110. Alex Turner - Will powerful AIs tend to seek power?
Opublikowany: 19.01.2022 -
109. Danijar Hafner - Gaming our way to AGI
Opublikowany: 12.01.2022 -
108. Last Week In AI — 2021: The (full) year in review
Opublikowany: 5.01.2022 -
107. Kevin Hu - Data observability and why it matters
Opublikowany: 15.12.2021 -
106. Yang Gao - Sample-efficient AI
Opublikowany: 8.12.2021 -
105. Yannic Kilcher - A 10,000-foot view of AI
Opublikowany: 1.12.2021 -
104. Ken Stanley - AI without objectives
Opublikowany: 24.11.2021 -
103. Gillian Hadfield - How to create explainable AI regulations that actually make sense
Opublikowany: 17.11.2021 -
102. Wendy Foster - AI ethics as a user experience challenge
Opublikowany: 10.11.2021 -
101. Ayanna Howard - AI and the trust problem
Opublikowany: 3.11.2021 -
100. Max Jaderberg - Open-ended learning at DeepMind
Opublikowany: 27.10.2021 -
99. Margaret Mitchell - (Practical) AI ethics
Opublikowany: 20.10.2021 -
98. Mike Tung - Are knowledge graphs AI’s next big thing?
Opublikowany: 13.10.2021 -
97. Anthony Habayeb - The present and future of AI regulation
Opublikowany: 6.10.2021 -
96. Jan Leike - AI alignment at OpenAI
Opublikowany: 29.09.2021 -
95. Francesca Rossi - Thinking, fast and slow: AI edition
Opublikowany: 22.09.2021 -
94. Divya Siddarth - Are we thinking about AI wrong?
Opublikowany: 28.07.2021 -
93. 2021: A year in AI (so far) - Reviewing the biggest AI stories of 2021 with our friends at the Let’s Talk AI podcast
Opublikowany: 21.07.2021 -
92. Daniel Filan - Peering into neural nets for AI safety
Opublikowany: 14.07.2021
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.
