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