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PODCAST

Eye On A.I.

Eye on A.I. is a biweekly podcast, hosted by longtime New York Times correspondent Craig S. Smith. In each episode, Craig will talk to people making a difference in artificial intelligence. The podcast aims to put incremental advances into a broader context and consider the global implications of the developing technology. AI is about to change your world, so pay attention.

technology

All Episodes

43:03

Episode 29 - Daphne Koller

Eye On A.I. ·

2019/12/11

Daphne Koller, formerly at Stanford University and cofounder of the online education company, Coursera, talks this week about using machine-learning to develop new drugs. Her approach is to use machine learning to accuratley identify cellular or genetic targets for treatment. The field is just getting started but promises to speed the development of new and better therapies to treat disease.

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34:23

Episode 28 - Aude Billard

Eye On A.I. ·

2019/11/24

My guest this week, Aude Billard from Switzerland’s Learning Algorithms and Systems Laboratory, blends control theory with machine learning to build robotic systems that are both swift and precise but can handle some of the unpredictability of the real world. Her lab famously taught a robot arm to catch a tennis racket looping through the air and is working on ever more precise robots that can even do the work of Switzerland’s famous watchmakers.

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46:15

Episode 27 - Eric Schmidt and Robert O. Work

Eye On A.I. ·

2019/11/04

Former Google chief executive Eric Schmidt and former Deputy Defense Secretary Bob Work, co-chairs of the U.S. National Security Commission on AI, talk about the challenges the government faces in winning support from a skeptical private sector and in maintaining engagement with China while ensuring that that engagement doesn’t work to America’s detriment.

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37:42

Episode 26 - Labelbox

Eye On A.I. ·

2019/10/24

The secret in much of artificial intelligence today is that it depends on hordes of unskilled workers to label the data used to train supervised learning models. But, in order for data science teams to work with labelers around the world, they need a platform. This week, in the second of a periodic series of sponsored episodes, I talk to Manu Sharma and Brian Rieger, who saw the opportunity to provide that platform and founded Labelbox, the leading labelling software in the space.

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33:11

Episode 25 - Dawn Song

Eye On A.I. ·

2019/10/10

This week, I talk to Dawn Song, one of the world’s foremost experts in computer security, about her vision of a new paradigm in which people control their data and are compensated for its use by corporations. Dawn, a professor at the University of California, Berkeley, has recently launched a company, Oasis Labs, which is building a platform that brings together the immutability of blockchain and the privacy of secure enclaves to give data owners the ability to control their data.

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47:26

Episode 24 - Climate Change and AI

Eye On A.I. ·

2019/09/25

A few months ago at the recent international conference on machine learning, a workshop and research paper launched a movement to use machine learning in addressing climate change. The response was huge and has given birth to the bones of an organization climate change.ai. This week I talked to David Rolnick, a postdoc at U Penn and Priya, Donti, a Phd student at Carnegie Mellon, about how the group came together and about how the organization is developing.

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54:54

Episode 23 - AutoML with Determined AI

Eye On A.I. ·

2019/09/11

Automated machine-learning tools – or tools that automate the creation of machine-learning applications – are increasingly important in the current talent-scarce environment. Expensive ML engineers shouldn't spend their time doing stuff that machines can do quicker and cheaper. This week, we talk to Evan Sparks and Ameet Talwalkar, two of the founders of Determined AI, which builds tools that streamline workflows for machine-learning teams and, the company hopes, will eventually democratize AI.

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58:36

Episode 22 - Brendan McCord

Eye On A.I. ·

2019/08/29

This week, I talk to Brendan McCord, who wrote the Pentagon’s AI strategy and is now a Special Government Employee at the National Security Commission on AI. Brendan talks about what he believes the US needs to do to stay competitive with China and promote an alternative vision of AI-powered security and prosperity to the world.

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41:02

Episode 20 - John Platt

Eye On A.I. ·

2019/07/31

This week I talk to John Platt, a Distinguished Scientist at Google, about twin problems: finding cheap zero-carbon energy sources and mitigating global warming. John is a polymath, having discovered asteroids, helped put the touch in computer touchpads and even won an Academy Award for scientific and technical achievements in computer animation. Now, he is part of a growing movement of machine learning researchers tackling climate change.

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30:19

Episode 19 - Chelsea Finn

Eye On A.I. ·

2019/07/16

This week we return to the world of thinking robots with Chelsea Finn, one of the youngest experts in the field, who talks about her journey, about her work in meta-learning and about lifelong learning for robots.

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42:45

Episode 18 - Partha Talukdar

Eye On A.I. ·

2019/07/04

This week, we look at AI in India. With its massive population, fast-growing economy, English-language education and large supply of brilliant researchers and engineers, it should be competing with China and the U.S. for dominance in the space. But it is not. I talk to Partha Talukdar, a professor at the Indian Institute of Science, Bangalore, about the challenges that have kept India from realizing its AI potential.

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56:56

Episode 17 - Yann Lecun

Eye On A.I. ·

2019/06/19

This week I talk to Yann Lecun, one of the brightest minds in machine learning today. Yann's work lies behind some of the most critical AI applications, most notably computer vision systems that power everything from face recognition software to self-driving cars. He recently won the Turing Award, the highest prize in computer science. We talked about Yann's first computer, about how music led him into computer science, and about his work on self-supervised learning, which he believes will take us

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52:53

Episode 16 - Trae Stephens and Brian Schimpf

Eye On A.I. ·

2019/06/05

This week I talk to Trae Stephens and Brian Schimpf from Anduril Industries, an AI defense contractor, about the current state of AI research and deployment for national security, including how the US stacks up against China. We also talked about the resistance among US engineers to work on defense applications and whether that hobbles the US in the global AI arms race.

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25:33

Episode 15 - Ken Church

Eye On A.I. ·

2019/05/16

This week, I talk to Ken Church, a pioneer in Natural Language Processing, whose use of statistical models on part of speech tagging revolutionized the field and is what makes automatic dictation and machine translation so popular today. We talked about his early days at MIT, about explainable AI and about how the Holy See played a role in his probabilistic approach to NLP.

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37:59

Episode 14 - Sergey Levine

Eye On A.I. ·

2019/05/02

This week, I talk to Sergey Levine, one of the most prolific researchers in robot learning. We talked about developing a robot’s sense of touch and about robot dreams and whether he believes we know what’s happening in the field in Russia and China.

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31:33

Episode 13 - Pieter Abbeel

Eye On A.I. ·

2019/04/17

Thinking robots: that’s how much of the world envisions artificial intelligence and if there is one person on the planet who understands the limitations and promise of intelligence in robots, it's Pieter Abbeel, one of the world’s foremost experts on robotic learning systems. In this episode, Pieter talks about robot memories and the prospect of robots with personalities eventually assisting in the home. Listen and learn about your future.

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27:37

Episode 12 - Samy Bengio and Yoshua Bengio

Eye On A.I. ·

2019/04/03

This week I talk to the Bengio brothers, Samy and Yoshua, in their first interview together. Yoshua recently won the Turing Award with Geoff Hinton and Yann Lecun, while Samy leads a team of researchers at Google Brain. The brothers are well known to people who work in machine learning, but few know how intertwined their professional lives have been. They talked about their unconventional parents and their early collaboration on neural network research, as well as what they see as the challenges

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38:02

Rich Sutton Edit V5-Norm 01-01

Eye On A.I. ·

2019/03/20

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32:34

Episode 10 - Pedro Domingos

Eye On A.I. ·

2019/03/07

In this week's episode, I talk to Pedro Domingos, author of the bestselling book, The Master Algorithm, which is about the ongoing effort to unify machine-learning paradigms in a single model. But the conversation was much broader than that. Pedro believes strongly that the great powers are engaged in an AI arms race with America's Defense Advanced Research Projects Agency, or Darpa, pitted against China's military and industrial dynamo. We also talked about the future of democracy and

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19:51

Episode 9 - Liang Huang

Eye On A.I. ·

2019/02/20

Resurrecting the Tower of Babel with machine learning: In this week’s episode, we talk to Liang Huang, principal scientist at Baidu Research in Silicon Valley about his breakthrough in simultaneous translation technology, which promises to erase language barriers. Baidu’s system can already translate speech to text with as little as a three-second delay. Soon, Liang says, the technology will translate speech to speech, enabling a future in which people from different languages can speak fluidly with

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328 results

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