Towards Data Science
Ein Podcast von The TDS team
131 Folgen
-
111. Mo Gawdat - Scary Smart: A former Google exec’s perspective on AI risk
Vom: 26.1.2022 -
110. Alex Turner - Will powerful AIs tend to seek power?
Vom: 19.1.2022 -
109. Danijar Hafner - Gaming our way to AGI
Vom: 12.1.2022 -
108. Last Week In AI — 2021: The (full) year in review
Vom: 5.1.2022 -
107. Kevin Hu - Data observability and why it matters
Vom: 15.12.2021 -
106. Yang Gao - Sample-efficient AI
Vom: 8.12.2021 -
105. Yannic Kilcher - A 10,000-foot view of AI
Vom: 1.12.2021 -
104. Ken Stanley - AI without objectives
Vom: 24.11.2021 -
103. Gillian Hadfield - How to create explainable AI regulations that actually make sense
Vom: 17.11.2021 -
102. Wendy Foster - AI ethics as a user experience challenge
Vom: 10.11.2021 -
101. Ayanna Howard - AI and the trust problem
Vom: 3.11.2021 -
100. Max Jaderberg - Open-ended learning at DeepMind
Vom: 27.10.2021 -
99. Margaret Mitchell - (Practical) AI ethics
Vom: 20.10.2021 -
98. Mike Tung - Are knowledge graphs AI’s next big thing?
Vom: 13.10.2021 -
97. Anthony Habayeb - The present and future of AI regulation
Vom: 6.10.2021 -
96. Jan Leike - AI alignment at OpenAI
Vom: 29.9.2021 -
95. Francesca Rossi - Thinking, fast and slow: AI edition
Vom: 22.9.2021 -
94. Divya Siddarth - Are we thinking about AI wrong?
Vom: 28.7.2021 -
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
Vom: 21.7.2021 -
92. Daniel Filan - Peering into neural nets for AI safety
Vom: 14.7.2021
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.
