Towards Data Scienceinactive
Publisher |
The TDS team
Media Type |
audio
Categories Via RSS |
Technology
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.
Premiere Date |
2019-07-16
Related Hashtags |
#ChatGPT
#DataScience
#MachineLearning
#ML
#Python
Frequency |
Weekly
Explicit |
No

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131 Available Episodes (131 Total)Average duration: 00:49:38
Oct 19 | 00:32:26
131. Jeremie Harris - TDS Podcast Finale: The future of AI, and the risks that come with it
Oct 12 | 00:58:22
130. Edouard Harris - New Research: Advanced AI may tend to seek power *by default*
Oct 05 | 00:51:21
129. Amber Teng - Building apps with a new generation of language models
Sep 28 | 00:49:02
128. David Hirko - AI observability and data as a cybersecurity weakness
Sep 21 | 00:41:34
127. Matthew Stewart - The emerging world of ML sensors
Sep 14 | 00:55:43
126. JR King - Does the brain run on deep learning?
Sep 07 | 00:48:19
125. Ryan Fedasiuk - Can the U.S. and China collaborate on AI safety?
May 18 | 00:51:47
124. Alex Watson - Synthetic data could change everything
May 12 | 00:54:43
123. Ala Shaabana and Jacob Steeves - AI on the blockchain (it actually might just make sense)
May 04 | 00:43:02
122. Sadie St. Lawrence - Trends in data science
Apr 27 | 00:49:31
121. Alexei Baevski - data2vec and the future of multimodal learning
Apr 20 | 00:40:47
120. Liam Fedus and Barrett Zoph - AI scaling with mixture of expert models
Apr 13 | 00:48:34
119. Jaime Sevilla - Projecting AI progress from compute trends
Apr 06 | 00:51:44
118. Angela Fan - Generating Wikipedia articles with AI
Mar 30 | 00:46:46
117. Beena Ammanath - Defining trustworthy AI
Mar 23 | 00:54:24
116. Katya Sedova - AI-powered disinformation, present and future
Mar 09 | 00:50:12
115. Irina Rish - Out-of-distribution generalization
Mar 02 | 00:47:48
114. Sam Bowman - Are we *under-hyping* AI?
Feb 09 | 00:35:20
113. Yaron Singer - Catching edge cases in AI
Feb 02 | 00:42:04
112. Tali Raveh - AI, single cell genomics, and the new era of computational biology
Jan 26 | 01:00:12
111. Mo Gawdat - Scary Smart: A former Google exec’s perspective on AI risk
Jan 19 | 00:46:57
110. Alex Turner - Will powerful AIs tend to seek power?
Jan 12 | 00:50:06
109. Danijar Hafner - Gaming our way to AGI
Jan 05 | 00:50:21
108. Last Week In AI — 2021: The (full) year in review
Dec 15 | 00:49:56
107. Kevin Hu - Data observability and why it matters
Dec 08 | 00:49:53
106. Yang Gao - Sample-efficient AI
Dec 01 | 01:03:04
105. Yannic Kilcher - A 10,000-foot view of AI
Nov 24 | 01:06:27
104. Ken Stanley - AI without objectives
Nov 17 | 00:51:07
103. Gillian Hadfield - How to create explainable AI regulations that actually make sense
Nov 10 | 00:44:36
102. Wendy Foster - AI ethics as a user experience challenge
Nov 03 | 00:53:15
101. Ayanna Howard - AI and the trust problem
Oct 27 | 00:45:25
100. Max Jaderberg - Open-ended learning at DeepMind
Oct 20 | 00:45:43
99. Margaret Mitchell - (Practical) AI ethics
Oct 13 | 00:48:56
98. Mike Tung - Are knowledge graphs AI’s next big thing?
Oct 06 | 00:49:31
97. Anthony Habayeb - The present and future of AI regulation
Sep 29 | 01:05:17
96. Jan Leike - AI alignment at OpenAI
Sep 22 | 00:46:42
95. Francesca Rossi - Thinking, fast and slow: AI edition
Jul 28 | 01:02:44
94. Divya Siddarth - Are we thinking about AI wrong?
Jul 21 | 00:43:31
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
Jul 14 | 01:06:02
92. Daniel Filan - Peering into neural nets for AI safety
Jul 07 | 01:01:21
91. Peter Gao - Self-driving cars: Past, present and future
Jun 30 | 00:49:07
90. Jeffrey Ding - China’s AI ambitions and why they matter
Jun 23 | 00:36:35
89. Pointing AI in the right direction - A cross-over episode with the Banana Data podcast!
Jun 16 | 00:53:34
88. Oren Etzioni - The case against (worrying about) existential risk from AI
Jun 09 | 01:09:32
87. Evan Hubinger - The Inner Alignment Problem
Jun 02 | 01:25:44
86. Andy Jones - AI Safety and the Scaling Hypothesis
May 26 | 01:06:19
85. Brian Christian - The Alignment Problem
May 19 | 00:53:38
84. Eliano Marques - The (evolving) world of AI privacy and data security
May 12 | 00:52:37
83. Rosie Campbell - Should all AI research be published?
May 05 | 00:54:07
82. Jakob Foerster - The high cost of automated weapons
Apr 28 | 00:56:03
81. Nicolas Miailhe - AI risk is a global problem
Apr 21 | 00:45:04
80. Yan Li - The Surprising Challenges of Global AI Philanthropy
Apr 14 | 00:57:20
79. Ryan Carey - What does your AI want?
Apr 07 | 00:44:50
78. Melanie Mitchell - Existential risk from AI: A skeptical perspective
Mar 31 | 00:57:20
77. Josh Fairfield - AI advances, but can the law keep up?
Mar 24 | 01:11:02
76. Stuart Armstrong - AI: Humanity's Endgame?
Mar 17 | 00:59:12
75. Georg Northoff - Consciousness and AI
Mar 10 | 00:52:17
74. Ethan Perez - Making AI safe through debate
Mar 03 | 01:08:22
73. David Roodman - Economic history and the road to the singularity
Feb 24 | 01:22:02
72. Margot Gerritsen - Does AI have to be understandable to be ethical?
Feb 17 | 01:08:58
71. Ben Garfinkel - Superhuman AI and the future of democracy and government
Feb 10 | 00:45:06
70. Sarah Williams - What does ethical AI even mean?
Feb 03 | 01:05:57
69. Anders Sandberg - Answering the Fermi Question: Is AI our Great Filter?
Jan 27 | 01:00:46
68. Silvia Milano - Ethical problems with recommender systems
Jan 20 | 00:50:23
67. Joaquin Quiñonero-Candela - Responsible AI at Facebook
Jan 13 | 00:47:58
66. Owain Evans - Predicting the future of AI
Jan 06 | 00:43:09
65. Helen Toner - The strategic and security implications of AI
Dec 30 | 00:50:59
64. David Krueger - Managing the incentives of AI
Dec 23 | 01:12:09
63. Geordie Rose - Will AGI need to be embodied?
Dec 16 | 00:49:35
62. Nicolai Baldin - AI meets the law: Bias, fairness, privacy and regulation
Dec 09 | 01:21:38
61. Ben Goertzel - The unorthodox path to AGI
Dec 02 | 00:45:29
60. Rob Miles - Why should I care about AI safety?
Nov 25 | 00:43:43
59. Matthew Stewart - Tiny ML and the future of on-device AI
Nov 18 | 00:36:57
58. David Duvenaud - Using generative models for explainable AI
Nov 11 | 01:04:32
57. Dylan Hadfield-Menell - Humans in the loop
Nov 04 | 00:56:27
56. Annette Zimmermann - The ethics of AI
Oct 28 | 00:51:15
55. Rohin Shah - Effective altruism, AI safety, and learning human preferences from the state of the world
Oct 15 | 00:53:52
54. Tim Rocktäschel - Deep reinforcement learning, symbolic learning and the road to AGI
Oct 08 | 01:06:20
53. Edouard Harris - Emerging problems in machine learning: making AI "good"
Sep 23 | 00:54:45
52. Sanyam Bhutani - Networking like a pro in data science
Sep 16 | 00:39:35
51. Adrien Treuille and Tim Conkling - Streamlit Is All You Need
Sep 09 | 00:55:58
50. Ken Jee - Building your brand in data science
Sep 02 | 00:56:54
49. Catherine Zhou - The data science of learning
Aug 26 | 00:45:32
48. Emmanuel Ameisen - Beyond the jupyter notebook: how to build data science products
Aug 19 | 00:50:50
47. Goku Mohandas - Industry research and how to show off your projects
Aug 12 | 00:39:20
46. Ihab Ilyas - Data cleaning is finally being automated
Aug 05 | 00:51:10
45. Kenny Ning - Is data science merging with data engineering?
Jul 29 | 00:53:24
44. Jakob Foerster - Multi-agent reinforcement learning and the future of AI
Jul 22 | 00:38:57
43. Ian Scott - Data science at Deloitte
Jul 15 | 00:56:08
42. Will Grathwohl - Energy-based models and the future of generative algorithms
Jul 08 | 00:45:27
41. Solmaz Shahalizadeh - Data science in high-growth companies
Jul 01 | 00:40:18
40. David Meza - Data science at NASA
Jun 24 | 00:37:20
39. Nick Pogrebnyakov - Data science at Reuters, and the remote work after the coronavirus
Jun 17 | 00:31:22
38. Matthew Stewart - Data privacy and machine learning in environmental science
Jun 10 | 00:44:04
37. Sean Knapp - The brave new world of data engineering
Jun 03 | 00:41:44
36. Max Welling - The future of machine learning
May 27 | 00:42:20
35. Rubén Harris - Learning and looking for jobs in quarantine
May 20 | 00:45:18
34. Denise Gosnell and Matthias Broecheler - You should really learn about graph databases. Here’s why.
May 13 | 00:40:52
33. Roland Memisevic - Machines that can see and hear
May 06 | 00:43:41
32. Bahador Khaleghi - Explainable AI and AI interpretability
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