A team of AI researchers has trained its algorithms to see the emotional intent behind great works of art, possibly leading to computers that see much deeper than current technologies.
A team of AI researchers has trained its algorithms to see the emotional intent behind great works of art, possibly leading to computers that see much deeper than current technologies.
A Stanford report highlights the rise in machine learning research in this rapidly evolving field.
A Stanford report highlights the rise in machine learning research in this rapidly evolving field.
Artificial intelligence kept expanding through a turbulent year, with some exceptions
The AI Index shows how the technology and associated opportunities fared through the turmoil of the past year
The AI Index shows how the technology and associated opportunities fared through the turmoil of the past year
Stanford GSB Dean Jon Levin reflects on the creation of HAI as a multidisciplinary approach to a multilayered challenge.
Stanford GSB Dean Jon Levin reflects on the creation of HAI as a multidisciplinary approach to a multilayered challenge.
Linguist and computer scientist Dan Jurafsky explores how AI is expanding from capturing individual words and sentences to modeling the social nature of language.
Linguist and computer scientist Dan Jurafsky explores how AI is expanding from capturing individual words and sentences to modeling the social nature of language.
A Stanford researcher advocates for clarity about the different types of interpretability and the contexts in which it is useful.
A Stanford researcher advocates for clarity about the different types of interpretability and the contexts in which it is useful.
Legal scholar Sonia Katyal discusses why trade secrets law shouldn't protect AI, government’s role in regulation, and potential edits to Section 230.
Legal scholar Sonia Katyal discusses why trade secrets law shouldn't protect AI, government’s role in regulation, and potential edits to Section 230.
This new series will connect companies to cutting-edge Stanford AI research.
This new series will connect companies to cutting-edge Stanford AI research.
Applying machine learning to a U.S. Environmental Protection Agency initiative reveals how key design elements determine what communities bear the burden of pollution.
Applying machine learning to a U.S. Environmental Protection Agency initiative reveals how key design elements determine what communities bear the burden of pollution.
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The latest advance from a research collaboration with industry could dramatically accelerate the development of sturdier batteries for fast-charging electric vehicles.
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The latest advance from a research collaboration with industry could dramatically accelerate the development of sturdier batteries for fast-charging electric vehicles.