Kent Walker, who oversees the Google's AI ethics and responsible AI innovation, talks about how Google reviews AI systems for trust and safety and the outlook for safe AI going forward. 

Daeil Kim, cofounder of AI.Reverie, talks about the role that synthetic data can play in training AI models.

Alan Aspuru Guzik, a professor at the University of Toronto, talks about his work in new materials discovery with machine learning and building a fully automated materials lab that can synthesize molecules discovered in a computer.

Director of the Pentagon’s Joint AI Center, Lieutenant General Michael S. Groen talks about improving war fighting and the challenge of China.

David Yi and Yohan Lee from Riiid Labs, the leading startup applying machine-learning to education, talk about making personalized instruction available to anyone in the world with an internet-connected device. They spoke about the family of algorithms behind their system and the recently concluded Riiid AIEd Challenge, a Kaggle competition that engaged more than 3,400 teams across the world in developing knowledge tracing algorithms.

Turing award winner Yoshua Bengio and his colleague Julian Serban, co-founder of Korbit, an AI ed-tech startup with the aim of democratizing education, talk about enhancing education through the application of deep learning systems that can track student behavior predict their performance and deliver strategies to both improve performance and prevent students from losing interest.

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.

Chris Darby, CEO of the CIA-backed tech investment company In-Q-Tel, talks about the commission's recommendation that AI for national security be extended to biotechnology, and that bio-data be considered an instrument of national power.

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.