30 episodes

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.

Eye On A.I. Craig S. Smith

    • Technology

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.

    Episode 30 - The 3 Most Interesting Trends In AI

    Episode 30 - The 3 Most Interesting Trends In AI

    We begin 2020 by looking back at some of the highlights from 2019 including conversations with Turing award winners, Yoshua, Bengio and Yann Lecun, as well as with the father of reinforcement learning, Rich Sutton. Our guests consider applying machine learning to the climate crisis; competition between the U S and China for dominance in AI; and the future of machine learning through various kinds of unsupervised learning.

    • 31 min
    Episode 29 - Daphne Koller

    Episode 29 - Daphne Koller

    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.

    • 43 min
    Episode 28 - Aude Billard

    Episode 28 - Aude Billard

    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.

    • 34 min
    Episode 27 - Eric Schmidt and Robert O. Work

    Episode 27 - Eric Schmidt and Robert O. Work

    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.

    • 46 min
    Episode 26 - Labelbox

    Episode 26 - Labelbox

    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.

    • 37 min
    Episode 25 - Dawn Song

    Episode 25 - Dawn Song

    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.

    • 33 min

Customer Reviews

Joseph16687 ,

Good food for thought!

Very informative, audio quality could be better but still audible nonetheless. I am a student pursuing Computer Science looking to complete a project on Artificial Intelligence and I find this biweekly podcast extremely enlightening. Craig Smith does a good job of talking to guests looking at the technical side of the subject – neural networks and deep learning algorithms but also sheds light on real-world applications of machine learning i.e. health, financial markets, and societal impacts.

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