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PODCAST

The Gradient: Perspectives on AI

Deeply researched, technical interviews with experts thinking about AI and technology. thegradientpub.substack.com

technology

All Episodes

68:20

Soumith Chintala: PyTorch

The Gradient: Perspectives on AI ·

2023/03/30

In episode 66 of The Gradient Podcast, Daniel Bashir speaks to Soumith Chintala.Soumith is a Research Engineer at Meta AI Research in NYC. He is the co-creator and lead of Pytorch, and maintains a number of other open-source ML projects including Torch-7 and EBLearn. Soumith has previously worked on robotics, object and human detection, generative modeling, AI for video games, and ML systems research.Have suggestions for future podcast guests (or other feedback)? Let us know here!Subscribe to The

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102:44

Sewon Min: The Science of Natural Language

The Gradient: Perspectives on AI ·

2023/03/23

In episode 65 of The Gradient Podcast, Daniel Bashir speaks to Sewon Min.Sewon is a fifth-year PhD student in the NLP group at the University of Washington, advised by Hannaneh Hajishirzi and Luke Zettlemoyer. She is a part-time visiting researcher at Meta AI and a recipient of the JP Morgan PhD Fellowship. She has previously spent time at Google Research and Salesforce research.Have suggestions for future podcast guests (or other feedback)? Let us know here!Subscribe to The Gradient Podcast: Apple

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97:49

Richard Socher: Re-Imagining Search

The Gradient: Perspectives on AI ·

2023/03/16

In episode 64 of The Gradient Podcast, Daniel Bashir speaks to Richard Socher.Richard is founder and CEO of you.com, a new search engine that lets you personalize your search workflow and eschews tracking and invasive ads. Richard was previously Chief Scientist at Salesforce where he led work on fundamental and applied research, product incubation, CRM search, customer service automation and a cross-product AI platform. He was an adjunct professor at Stanford’s CS department as well as founder and

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66:23

Joe Edelman: Meaning-Aligned AI

The Gradient: Perspectives on AI ·

2023/03/09

In episode 63 of The Gradient Podcast, Daniel Bashir speaks to Joe Edelman.Joe developed the meaning-based organizational metrics at Couchsurfing.com, then co-founded the Center for Humane Technology with Tristan Harris, and coined the term “Time Well Spent” for a family of metrics adopted by teams at Facebook, Google, and Apple. Since then, he's worked on the philosophical underpinnings for new business metrics, design methods, and political movements. The central idea is to make people's sources

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74:16

Ed Grefenstette: Language, Semantics, Cohere

The Gradient: Perspectives on AI ·

2023/03/02

In episode 62 of The Gradient Podcast, Daniel Bashir speaks to Ed Grefenstette.Ed is Head of Machine Learning at Cohere and an Honorary Professor at University College London. He previously held research scientist positions at Facebook AI Research and DeepMind, following a stint as co-founder and CTO of Dark Blue Labs. Before his time in industry, Ed worked at Oxford’s Department of Computer Science as a lecturer and Fulford Junior Research Fellow at Somerville College. Ed also received his MSc and

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122:40

Ken Liu: What Science Fiction Can Teach Us

The Gradient: Perspectives on AI ·

2023/02/23

In episode 61 of The Gradient Podcast, Daniel Bashir speaks to Ken Liu.Ken is an author of speculative fiction. A winner of the Nebula, Hugo, and World Fantasy awards, he is the author of silkpunk epic fantasy series Dandelion Dynasty and short story collections The Paper Menagerie and Other Stories and The Hidden Girl and Other Stories. Prior to writing full-time, Ken worked as a software engineer, corporate lawyer, and litigation consultant.Have suggestions for future podcast guests (or other

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102:59

Hattie Zhou: Lottery Tickets and Algorithmic...

The Gradient: Perspectives on AI ·

2023/02/16

In episode 60 of The Gradient Podcast, Daniel Bashir speaks to Hattie Zhou.Hattie is a PhD student at the Université de Montréal and Mila. Her research focuses on understanding how and why neural networks work, based on the belief that the performance of modern neural networks exceeds our understanding and that building more capable and trustworthy models requires bridging this gap. Prior to Mila, she spent time as a data scientist at Uber and did research with Uber AI Labs.Have suggestions for

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128:02

Kyunghyun Cho: Neural Machine Translation, Language,...

The Gradient: Perspectives on AI ·

2023/02/09

In episode 59 of The Gradient Podcast, Daniel Bashir speaks to Professor Kyunghyun Cho.Professor Cho is an associate professor of computer science and data science at New York University and CIFAR Fellow of Learning in Machines & Brains. He is also a senior director of frontier research at the Prescient Design team within Genentech Research & Early Development. He was a research scientist at Facebook AI Research from 2017-2020 and a postdoctoral fellow at University of Montreal under the supervision

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70:25

Steve Miller: Will AI Take Your Job? It's Not So Simple.

The Gradient: Perspectives on AI ·

2023/02/02

In episode 58 of The Gradient Podcast, Daniel Bashir speaks to Professor Steve Miller.Steve is a Professor Emeritus of Information Systems at Singapore Management University. Steve served as Founding Dean for the SMU School of Information Systems, and established and developed the technology core of SIS research and project capabilities in Cybersecurity, Data Management & Analytics, Intelligent Systems & Decision Analytics, and Software & Cyber-Physical Systems, as well as the management science

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58:22

Blair Attard-Frost: Canada’s AI strategy and the...

The Gradient: Perspectives on AI ·

2023/01/26

In episode 57 of The Gradient Podcast, Andrey Kurenkov speaks to Blair Attard-Frost.Note: this interview was recorded 8 months ago, and some aspects of Canada’s AI strategy have changed since then. It is still a good overview of AI governance and other topics, however.Blair is a PhD Candidate at the University of Toronto’s Faculty of Information who researches the governance and management of artificial intelligence. More specifically, they are interested in the social construction of intelligence,

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148:46

Linus Lee: At the Boundary of Machine and Mind

The Gradient: Perspectives on AI ·

2023/01/19

In episode 56 of The Gradient Podcast, Daniel Bashir speaks to Linus Lee. Linus is an independent researcher interested in the future of knowledge representation and creative work aided by machine understanding of language. He builds interfaces and knowledge tools that expand the domain of thoughts we can think and qualia we can feel. Linus has been writing online since 2014–his blog boasts half a million words–and has built well over 100 side projects. He has also spent time as a software engineer

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100:58

Suresh Venkatasubramanian: An AI Bill of Rights

The Gradient: Perspectives on AI ·

2023/01/12

In episode 55 of The Gradient Podcast, Daniel Bashir speaks to Professor Suresh Venkatasubramanian. Professor Venkatasubramanian is a Professor of Computer Science and Data Science at Brown University, where his research focuses on algorithmic fairness and the impact of automated decision-making systems in society. He recently served as Assistant Director for Science and Justice in the White House Office of Science and Technology Policy, where he co-authored the Blueprint for an AI Bill of

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75:24

Pete Florence: Dense Visual Representations, NeRFs,...

The Gradient: Perspectives on AI ·

2023/01/05

In episode 54 of The Gradient Podcast, Andrey Kurenkov speaks with Pete Florence.Note: this was recorded 2 months ago. Andrey should be getting back to putting out some episodes next year. Pete Florence is a Research Scientist at Google Research on the Robotics at Google team inside Brain Team in Google Research. His research focuses on topics in robotics, computer vision, and natural language -- including 3D learning, self-supervised learning, and policy learning in robotics. Before Google, he

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54:47

Melanie Mitchell: Abstraction and Analogy in AI

The Gradient: Perspectives on AI ·

2022/12/15

Have suggestions for future podcast guests (or other feedback)? Let us know here!In episode 53 of The Gradient Podcast, Daniel Bashir speaks to Professor Melanie Mitchell. Professor Mitchell is the Davis Professor at the Santa Fe Institute. Her research focuses on conceptual abstraction, analogy-making, and visual recognition in AI systems. She is the author or editor of six books and her work spans the fields of AI, cognitive science, and complex systems. Her latest book is Artificial Intelligence:

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72:22

Marc Bellemare: Distributional Reinforcement Learning

The Gradient: Perspectives on AI ·

2022/12/08

Have suggestions for future podcast guests (or other feedback)? Let us know here!In episode 52 of The Gradient Podcast, Daniel Bashir speaks to Professor Marc Bellemare. Professor Bellemare leads the reinforcement learning efforts at Google Brain Montréal and is a core industry member at Mila, where he also holds the Canada CIFAR AI Chair. His PhD work, completed at the University of Alberta, proposed the use of Atari 2600 video games to benchmark progress in reinforcement learning (RL). He was a

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88:50

François Chollet: Keras and Measures of Intelligence

The Gradient: Perspectives on AI ·

2022/12/01

In episode 51 of The Gradient Podcast, Daniel Bashir speaks to François Chollet.François is a Senior Staff Software Engineer at Google and creator of the Keras deep learning library, which has enabled many people (including me) to get their hands dirty with the world of deep learning. Francois is also the author of the book “Deep Learning with Python.” Francois is interested in understanding the nature of abstraction and developing algorithms capable of autonomous abstraction and democratizing the

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74:09

Yoshua Bengio: The Past, Present, and Future of Deep...

The Gradient: Perspectives on AI ·

2022/11/21

Happy episode 50! This week’s episode is being released on Monday to avoid Thanksgiving. Have suggestions for future podcast guests (or other feedback)? Let us know here!In episode 50 of The Gradient Podcast, Daniel Bashir speaks to Professor Yoshua Bengio. Professor Bengio is a Full Professor at the Université de Montréal as well as Founder and Scientific Director of the MILA-Quebec AI Institute and the IVADO institute. Best known for his work in pioneering deep learning, Bengio was one of three

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47:21

Kanjun Qiu and Josh Albrecht: Generally Intelligent

The Gradient: Perspectives on AI ·

2022/11/17

In episode 49 of The Gradient Podcast, Daniel Bashir speaks to Kanjun Qiu and Josh Albrecht. Kanjun and Josh are CEO and CTO of Generally Intelligent, an AI startup aiming to develop general-purpose agents with human-like intelligence that can be safely deployed in the real world. Kanjun and Josh have played these roles together in the past as CEO and CTO of AI recruiting startup Sourceress. Kanjun is also involved with building the SF Neighborhood, and together with Josh invests in early-stage

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78:51

Nathan Benaich: The State of AI Report

The Gradient: Perspectives on AI ·

2022/11/10

* Have suggestions for future podcast guests (or other feedback)? Let us know here!* Want to write with us? Send a pitch using this form :)In episode 48 of The Gradient Podcast, Daniel Bashir speaks to Nathan Benaich.Nathan is Founder and General Partner at Air Street Capital, a venture capital (VC) firm focused on investing in AI-first technology and life sciences companies. Nathan runs a number of communities focused on AI including the Research and Applied AI Summit and leads Spinout.fyi to

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66:30

Matt Sheehan: China's AI Strategy and Governance

The Gradient: Perspectives on AI ·

2022/11/03

* Have suggestions for future podcast guests (or other feedback)? Let us know here!* Want to write with us? Send a pitch using this form :)In episode 47 of The Gradient Podcast, Daniel Bashir speaks to Matt Sheehan.Matt is a fellow at the Carnegie Endowment for International Peace, where he researches global technology with a focus on China. His writing and research explores China’s AI ecosystem, the future of China’s technology policy, and technology’s role in China’s political economy. Matt has

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147 results

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