The HAI spring conference examines how technology can support home caregivers, focus on more proactive care, gain medical-provider trust, and assist in early childhood development.
The HAI spring conference examines how technology can support home caregivers, focus on more proactive care, gain medical-provider trust, and assist in early childhood development.
The HAI spring conference examines how AI advancements in education can super-power teachers and rethink outdated (and bad) instruction.
The HAI spring conference examines how AI advancements in education can super-power teachers and rethink outdated (and bad) instruction.
The HAI spring conference examines how technology and art can be mutually beneficial, whether through AI-assisted music composition, a robot-tended garden, or a racial justice-focused app.
The HAI spring conference examines how technology and art can be mutually beneficial, whether through AI-assisted music composition, a robot-tended garden, or a racial justice-focused app.
Stanford researchers identify clinically meaningful confounders of retrospective observational research in medical record text.
Stanford researchers identify clinically meaningful confounders of retrospective observational research in medical record text.
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.
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.
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.
The latest advance from a research collaboration with industry could dramatically accelerate the development of sturdier batteries for fast-charging electric vehicles.