Towards Data Science
By The TDS team
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Subscribers: 308
Reviews: 1
Episodes: 130
Mar 28, 2020
Description
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.
| Episode | Date |
|---|---|
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130. Edouard Harris - New Research: Advanced AI may tend to seek power *by default*
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Oct 12, 2022 |
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129. Amber Teng - Building apps with a new generation of language models
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Oct 05, 2022 |
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128. David Hirko - AI observability and data as a cybersecurity weakness
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Sep 28, 2022 |
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127. Matthew Stewart - The emerging world of ML sensors
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Sep 21, 2022 |
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126. JR King - Does the brain run on deep learning?
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Sep 14, 2022 |
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125. Ryan Fedasiuk - Can the U.S. and China collaborate on AI safety?
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Sep 07, 2022 |
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124. Alex Watson - Synthetic data could change everything
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May 18, 2022 |
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123. Ala Shaabana and Jacob Steeves - AI on the blockchain (it actually might just make sense)
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May 12, 2022 |
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122. Sadie St. Lawrence - Trends in data science
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May 04, 2022 |
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121. Alexei Baevski - data2vec and the future of multimodal learning
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Apr 27, 2022 |
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120. Liam Fedus and Barrett Zoph - AI scaling with mixture of expert models
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Apr 20, 2022 |
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119. Jaime Sevilla - Projecting AI progress from compute trends
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Apr 13, 2022 |
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118. Angela Fan - Generating Wikipedia articles with AI
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Apr 06, 2022 |
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117. Beena Ammanath - Defining trustworthy AI
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Mar 30, 2022 |
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116. Katya Sedova - AI-powered disinformation, present and future
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Mar 23, 2022 |
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115. Irina Rish - Out-of-distribution generalization
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Mar 09, 2022 |
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114. Sam Bowman - Are we *under-hyping* AI?
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Mar 02, 2022 |
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113. Yaron Singer - Catching edge cases in AI
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Feb 09, 2022 |
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112. Tali Raveh - AI, single cell genomics, and the new era of computational biology
|
Feb 02, 2022 |
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111. Mo Gawdat - Scary Smart: A former Google exec’s perspective on AI risk
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Jan 26, 2022 |
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110. Alex Turner - Will powerful AIs tend to seek power?
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Jan 19, 2022 |
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109. Danijar Hafner - Gaming our way to AGI
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Jan 12, 2022 |
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108. Last Week In AI — 2021: The (full) year in review
|
Jan 05, 2022 |
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107. Kevin Hu - Data observability and why it matters
|
Dec 15, 2021 |
|
106. Yang Gao - Sample-efficient AI
|
Dec 08, 2021 |
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105. Yannic Kilcher - A 10,000-foot view of AI
|
Dec 01, 2021 |
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104. Ken Stanley - AI without objectives
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Nov 24, 2021 |
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103. Gillian Hadfield - How to create explainable AI regulations that actually make sense
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Nov 17, 2021 |
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102. Wendy Foster - AI ethics as a user experience challenge
|
Nov 10, 2021 |
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101. Ayanna Howard - AI and the trust problem
|
Nov 03, 2021 |
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100. Max Jaderberg - Open-ended learning at DeepMind
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Oct 27, 2021 |
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99. Margaret Mitchell - (Practical) AI ethics
|
Oct 20, 2021 |
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98. Mike Tung - Are knowledge graphs AI’s next big thing?
|
Oct 13, 2021 |
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97. Anthony Habayeb - The present and future of AI regulation
|
Oct 06, 2021 |
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96. Jan Leike - AI alignment at OpenAI
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Sep 29, 2021 |
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95. Francesca Rossi - Thinking, fast and slow: AI edition
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Sep 22, 2021 |
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94. Divya Siddarth - Are we thinking about AI wrong?
|
Jul 28, 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
|
Jul 21, 2021 |
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92. Daniel Filan - Peering into neural nets for AI safety
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Jul 14, 2021 |
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91. Peter Gao - Self-driving cars: Past, present and future
|
Jul 07, 2021 |
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90. Jeffrey Ding - China’s AI ambitions and why they matter
|
Jun 30, 2021 |
|
89. Pointing AI in the right direction - A cross-over episode with the Banana Data podcast!
|
Jun 23, 2021 |
|
88. Oren Etzioni - The case against (worrying about) existential risk from AI
|
Jun 16, 2021 |
|
87. Evan Hubinger - The Inner Alignment Problem
|
Jun 09, 2021 |
|
86. Andy Jones - AI Safety and the Scaling Hypothesis
|
Jun 02, 2021 |
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85. Brian Christian - The Alignment Problem
|
May 26, 2021 |
|
84. Eliano Marques - The (evolving) world of AI privacy and data security
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May 19, 2021 |
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83. Rosie Campbell - Should all AI research be published?
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May 12, 2021 |
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82. Jakob Foerster - The high cost of automated weapons
|
May 05, 2021 |
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81. Nicolas Miailhe - AI risk is a global problem
|
Apr 28, 2021 |
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80. Yan Li - The Surprising Challenges of Global AI Philanthropy
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Apr 21, 2021 |
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79. Ryan Carey - What does your AI want?
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Apr 14, 2021 |
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78. Melanie Mitchell - Existential risk from AI: A skeptical perspective
|
Apr 07, 2021 |
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77. Josh Fairfield - AI advances, but can the law keep up?
|
Mar 31, 2021 |
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76. Stuart Armstrong - AI: Humanity's Endgame?
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Mar 24, 2021 |
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75. Georg Northoff - Consciousness and AI
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Mar 17, 2021 |
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74. Ethan Perez - Making AI safe through debate
|
Mar 10, 2021 |
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73. David Roodman - Economic history and the road to the singularity
|
Mar 03, 2021 |
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72. Margot Gerritsen - Does AI have to be understandable to be ethical?
|
Feb 24, 2021 |
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71. Ben Garfinkel - Superhuman AI and the future of democracy and government
|
Feb 17, 2021 |
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70. Sarah Williams - What does ethical AI even mean?
|
Feb 10, 2021 |
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69. Anders Sandberg - Answering the Fermi Question: Is AI our Great Filter?
|
Feb 03, 2021 |
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68. Silvia Milano - Ethical problems with recommender systems
|
Jan 27, 2021 |
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67. Joaquin Quiñonero-Candela - Responsible AI at Facebook
|
Jan 20, 2021 |
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66. Owain Evans - Predicting the future of AI
|
Jan 13, 2021 |
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65. Helen Toner - The strategic and security implications of AI
|
Jan 06, 2021 |
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64. David Krueger - Managing the incentives of AI
|
Dec 30, 2020 |
|
63. Geordie Rose - Will AGI need to be embodied?
|
Dec 23, 2020 |
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62. Nicolai Baldin - AI meets the law: Bias, fairness, privacy and regulation
|
Dec 16, 2020 |
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61. Ben Goertzel - The unorthodox path to AGI
|
Dec 09, 2020 |
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60. Rob Miles - Why should I care about AI safety?
|
Dec 02, 2020 |
|
59. Matthew Stewart - Tiny ML and the future of on-device AI
|
Nov 25, 2020 |
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58. David Duvenaud - Using generative models for explainable AI
|
Nov 18, 2020 |
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57. Dylan Hadfield-Menell - Humans in the loop
|
Nov 11, 2020 |
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56. Annette Zimmermann - The ethics of AI
|
Nov 04, 2020 |
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55. Rohin Shah - Effective altruism, AI safety, and learning human preferences from the state of the world
|
Oct 28, 2020 |
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54. Tim Rocktäschel - Deep reinforcement learning, symbolic learning and the road to AGI
|
Oct 15, 2020 |
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53. Edouard Harris - Emerging problems in machine learning: making AI "good"
|
Oct 08, 2020 |
|
52. Sanyam Bhutani - Networking like a pro in data science
|
Sep 23, 2020 |
|
51. Adrien Treuille and Tim Conkling - Streamlit Is All You Need
|
Sep 16, 2020 |
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50. Ken Jee - Building your brand in data science
|
Sep 09, 2020 |
|
49. Catherine Zhou - The data science of learning
|
Sep 02, 2020 |
|
48. Emmanuel Ameisen - Beyond the jupyter notebook: how to build data science products
|
Aug 26, 2020 |
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47. Goku Mohandas - Industry research and how to show off your projects
|
Aug 19, 2020 |
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46. Ihab Ilyas - Data cleaning is finally being automated
|
Aug 12, 2020 |
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45. Kenny Ning - Is data science merging with data engineering?
|
Aug 05, 2020 |
|
44. Jakob Foerster - Multi-agent reinforcement learning and the future of AI
|
Jul 29, 2020 |
|
43. Ian Scott - Data science at Deloitte
|
Jul 22, 2020 |
|
42. Will Grathwohl - Energy-based models and the future of generative algorithms
|
Jul 15, 2020 |
|
41. Solmaz Shahalizadeh - Data science in high-growth companies
|
Jul 08, 2020 |
|
40. David Meza - Data science at NASA
|
Jul 01, 2020 |
|
39. Nick Pogrebnyakov - Data science at Reuters, and the remote work after the coronavirus
|
Jun 24, 2020 |
|
38. Matthew Stewart - Data privacy and machine learning in environmental science
|
Jun 17, 2020 |
|
37. Sean Knapp - The brave new world of data engineering
|
Jun 10, 2020 |
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36. Max Welling - The future of machine learning
|
Jun 03, 2020 |
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35. Rubén Harris - Learning and looking for jobs in quarantine
|
May 27, 2020 |
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34. Denise Gosnell and Matthias Broecheler - You should really learn about graph databases. Here’s why.
|
May 20, 2020 |
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33. Roland Memisevic - Machines that can see and hear
|
May 13, 2020 |
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32. Bahador Khaleghi - Explainable AI and AI interpretability
|
May 06, 2020 |
|
31. Russell Pollari - Building habits and breaking into data science
|
Apr 29, 2020 |
|
30. Interviewing the Medium data science team
|
Apr 22, 2020 |
|
29. Cameron Davidson-Pillon - Data science at Shopify
|
Apr 15, 2020 |
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28. Emily Robinson - Building a Career in Data Science
|
Apr 07, 2020 |
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27. Alayna Kennedy - AI safety, AI ethics and the AGI debate
|
Mar 30, 2020 |
|
26. Jeremy Howard - Coronavirus: the data behind the disease
|
Mar 20, 2020 |
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25. Chris Parmer - Plotly founder on what data science is, and where it's going
|
Mar 18, 2020 |
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24. Xander Steenbrugge - Machine learning as a creative tool, and the quest for artificial general intelligence
|
Mar 10, 2020 |
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23. Iain Harlow - Leaving academia for industry and optimizing how you learn
|
Mar 03, 2020 |
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22. Luke Marsden - Data Science Infrastructure and MLOps
|
Feb 23, 2020 |
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21. Adam Waksman - Data science is becoming software engineering
|
Feb 16, 2020 |
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20. Chanchal Chatterjee - Real Talk with AI Leader at Google
|
Jan 30, 2020 |
|
19. Will Koehrsen - Self-Learning Data Science and Sharing the Knowledge on Medium
|
Jan 25, 2020 |
|
18. Edouard Harris - Mastering the data science job hunt
|
Jan 15, 2020 |
|
17. Nate Nichols - Product instinct and data storytelling
|
Jan 07, 2020 |
|
16. Helen Ngo - Real Talk with Machine Learning Engineer
|
Dec 16, 2019 |
|
15. Ian Xiao - Why Machine Learning Is More Boring Than You May Think
|
Dec 09, 2019 |
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14. Jeremie Harris - Building a Data Science Startup & Getting Into Data Science
|
Dec 02, 2019 |
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13. Jessica Li - Predicting Snowmelt Patterns with Deep Learning and Satellite Imagery
|
Nov 25, 2019 |
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12. Rachael Tatman - Data science at Kaggle
|
Nov 06, 2019 |
|
11. Sanjeev Sharma - DataOps and data science at enterprise scale
|
Oct 31, 2019 |
|
10. Sanyam Bhutani - Data science beyond the classroom
|
Oct 22, 2019 |
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9. Ben Lorica - Trends in data science with O'Reilly Media's Chief Data Scientist
|
Oct 15, 2019 |
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8. George Hayward: comedian, lawyer and data scientist
|
Oct 08, 2019 |
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7. Serkan Piantino - From Facebook to startups: data science is becoming an engineering problem
|
Oct 01, 2019 |
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6. Jay Feng - Data science in the startup world
|
Sep 25, 2019 |
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5. Rocio Ng - Data science and product management at LinkedIn
|
Sep 19, 2019 |
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4. Akshay Singh - The thin line between data science and data engineering
|
Sep 10, 2019 |
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Susan Holcomb - Nontechnical career skills for data scientists
|
Aug 14, 2019 |
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Tan Vachiramon - Choosing the right algorithm for your real-world problem
|
Jul 16, 2019 |
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Joel Grus - The case against the jupyter notebook
|
Jul 16, 2019 |