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Erik Brynjolfsson, Director of Stanford’s Digital Economy Lab, explains the J-curve he expects to see as AI becomes increasingly commercialized.
Erik Brynjolfsson, Director of Stanford’s Digital Economy Lab, explains the J-curve he expects to see as AI becomes increasingly commercialized.

To produce higher performing AI systems, researchers need to focus on the data.

To produce higher performing AI systems, researchers need to focus on the data.

Geographic data is used everywhere. From ordering food online to understanding where food grows, from looking up the weather for today, to analyzing climate risks in the future, a lot of data is geographically located.

Geographic data is used everywhere. From ordering food online to understanding where food grows, from looking up the weather for today, to analyzing climate risks in the future, a lot of data is geographically located.

The engineering professor explains how computer science tools could reshape the field of construction.

The engineering professor explains how computer science tools could reshape the field of construction.

A new benchmarking tool helps AI scholars train algorithms that work on any domain, from images to text, video, medical images, and more — all at the same time.

A new benchmarking tool helps AI scholars train algorithms that work on any domain, from images to text, video, medical images, and more — all at the same time.

How AI could intersect with California’s new privacy law.

A machine learning tool that connects job skills to pay could help workers, companies and policymakers make better decisions about job training.

A machine learning tool that connects job skills to pay could help workers, companies and policymakers make better decisions about job training.

A Stanford researcher says the key to a nation’s economic power is less about which one is first to develop a major new technology than which is best at applying it broadly.

A Stanford researcher says the key to a nation’s economic power is less about which one is first to develop a major new technology than which is best at applying it broadly.

Researchers say AI risk shouldn’t be siloed from other technological risk and propose updating existing frameworks rather than inventing new ones.

Researchers say AI risk shouldn’t be siloed from other technological risk and propose updating existing frameworks rather than inventing new ones.

Stanford Data Science is now calling for applications to our 2022 Data Science for Social Good summer research program. Apply by Feb 14, 2022!

Stanford Data Science is now calling for applications to our 2022 Data Science for Social Good summer research program. Apply by Feb 14, 2022!