

Eye On A.I.
Craig S. Smith
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.
Episodes
Mentioned books

Apr 13, 2022 • 34min
Andrew Ng
Andrew Ng, founder of Google Brain, Coursera and Landing AI, talks about his vision of data-centric AI, MLOps and the future of supervised vs unsupervised learning. The Eye on AI podcast is sponsored by ClearML.

9 snips
Mar 31, 2022 • 32min
Tom Siebel of C3.AI
Tom Siebel, founder and CEO of C3.ai talks about AI projects including military target acquisition and precision healthcare while musing about the dark side of our technological future. The Eye on AI podcast is sponsored by Clear.ML

Mar 16, 2022 • 28min
Protein Annotation at Google
Max Bileschi, a software engineer at Google Research, talks about his team's application of convolutional neural networks to predict the function of amino acid sequences in a protein. Eye on AI is sponsored by Clear.ML.

8 snips
Feb 16, 2022 • 37min
DeepMind for Science, sponsored by Clear.ML
Pushmeet Kohli, the head of DeepMind's AI for Science and one of the brains behind AlphaFold, the machine learning system that is helping solve the protein folding problem. The episode is sponsored by Clear.ML, an open-source MLOps solution.

Jan 26, 2022 • 25min
WuDao 2.0 with its lead creator, Tang Jie
Currently the largest AI system in the world is China's WuDao 2.0, a sparse, multimodal, large language model with 1.75 trillion parameters. Tang Jie, a professor at China's Qinghua University, who leads the WuDao team, talks about how the model was built, why it is unique and what his team plans for the future.

Jan 12, 2022 • 28min
Large Language Models & GPT-J
Connor Leahy, one of the minds behind Eleuther AI and its open-source large language model, GPT-J, talks about the building such models and their implications for the future.

Dec 15, 2021 • 32min
Robert O. Work
Robert O. Work, former Deputy Secretary of Defense and recently co-chairman of the National Security Commission on AI, talks about competition between the US and China to integrate AI into their military capabilities.

Nov 17, 2021 • 31min
Enterra Solutions
Stephen DeAngelis, head of Enterra Solutions, reminds us that so-called Old-Fashioned AI continues to be a powerful tool. He talked about leveraging knowledge bases, inference engines and symbolic logic to make decisions about large dynamic systems.

Nov 4, 2021 • 38min
A National AI Research Resource
Daniel Ho, associate director of Stanford's Institute for Human-Centered Artificial Intelligence talks about the proposed National AI Research Resource, an effort to expand the data and compute available to academic researchers, leveling the playing field with researchers in private companies.

Oct 13, 2021 • 34min
Cerebras
Andrew Feldman, one of the founders and CEO of Cerebras Systems, talks about the company's wafer-scale computer chip optimized for machine learning and about the network of chips that company has built that has as much computing power as a human brain.


