Eye On A.I.

Geoff Hinton has lived at the outer reaches of machine learning research since an aborted attempt at a carpentry career a half century ago. He spoke to me about his work In 2020 and what he sees on the horizon for AI.

Eric Horvitz, chief research scientist at Microsoft and a commissioner on the National Security Commission on AI, talks about ensuring interoperability of AI systems with US allies and working to make all AI systems reliable.

An open-source compiler called TVM helps data scientists optimize their model's performance on specific hardware.

NSCAI commissioner Steve Chien, technical supervisor of the artificial intelligence group at NASA's Jet Propulsion Laboratory, talks about the growing demand for AI solutions in space, from coordinating an increasing number of earth-orbiting objects to protecting critical communication satellites from attack.

Jason Matheny, a commissioner at the National Security Commission on AI and head of Georgetown University's Center for Security and Emerging Technology, talks about coordinating AI developments with NATO and making India the focus of the US's Indo-Pacific AI strategy to counter China.

Alex Ratner, an assistant professor at the University of Washington and a cofounder and CEO of Snorkel AI, talks about programmatically labeling training data for supervised learning models.

In the second episode of a series on the machine-learning pipeline, Joe Hellerstein, a professor at UC Berkeley, talks about data wrangling.

Turing Award winner David Patterson talks about the end of Moore's law and the evolution of computer chips from general purpose CPUs to GPUs to the recent Cambrian explosion of specialized AI chips, including Google's TPU, in the first episode of five about the machine-learning model-development pipeline with Ameet Talwalkar, co-founder of Determined AI, an open-source platform for ML model development.