Reich explains his new role serving as senior advisor to the U.S. AI Safety Institute and how he’ll use his background as a philosopher to approach his work.
Combining advances in display technologies, holographic imaging, and artificial intelligence, engineers at Stanford say they have produced a leap forward for augmented reality.
Stanford Medicine researchers are developing artificial intelligence tools that provide a more accurate picture of a person’s mental health and flag those who need help.
Foundation models dominate, benchmarks fall, and prices skyrocket: Check out highlights from the newly released report tracking global trends in artificial intelligence.
“The worry isn’t just that we as artists would be replaced by generative AI,” says Ge Wang. “It’s that we might be replaced by something far more generic and far less interesting.”
By creating recipes for drugs that target antibiotic-resistant bacteria, a new model is teaching scientists about “a chemical space humans just haven’t explored before.”
A new study finds that factory and warehouse rooftops offer a big untapped opportunity to help disadvantaged communities bridge the solar energy divide.
The trick to working with a bot is to think of it as a collaborator rather than an oracle, say Jeremy Utley and Kian Gohar. “You never want to just select one idea and move forward.”
Uniting the complex mathematics of trajectory optimization with the powers of generative AI, aerospace engineers at Stanford hope to put self-driving spacecraft within reach.
An AI model that uses Google Street View to spot early signs of gentrification could one day help cities target anti-displacement policies more precisely.
The latest version of ChatGPT passes the Turing test with flying colors and has a more agreeable disposition than most humans. How might our own behavior evolve as a result?
Stanford has stringent review processes for the use of AI in patient care, Michelle Mello told the U.S. Senate last week, and federal standards are needed to ensure such vetting becomes widespread.
The science of how children learn language and use it to understand the world could help large language models do a better job of interpreting the intentions behind words.
Machine learning algorithms have proven especially good at burrowing into data collected in the field and unearthing new details on not only how interventions work, but for whom.
The first large-scale study of a ChatGPT-like assistant in the workplace found that it helped less experienced employees perform better and made customers happier.
At a Stanford-hosted summit, researchers and entrepreneurs considered how AI and other technologies can support effective, equitable, and responsive learning.
