The disparity likely occurs because such technologies are based on machine learning systems that rely heavily on databases of English as spoken by white Americans.
Using artificial intelligence, a Stanford-led research team has slashed battery testing times – a key barrier to longer-lasting, faster-charging batteries for electric vehicles – by nearly fifteenfold.
By monitoring crops through machine learning and satellite data, Stanford scientists have found farms that till the soil less can increase yields of corn and soybeans and improve the health of the soil – a win-win for meeting growing food needs worldwide.
A periodic review of the artificial intelligence industry revealed the potential pitfalls of outsourcing our problems for technology to solve rather than addressing the causes, and of allowing outdated predictive modeling to go unchecked.
Robots, self-driving cars and other intelligent machines could become better-behaved thanks to a new way to help machine learning designers build AI applications with safeguards against specific, undesirable outcomes such as racial and gender bias.
Two pioneering scientists who transformed the fields of artificial intelligence and gene editing discuss the impacts of their technologies and the ethics of scientific discovery leading up to a public talk later this month.
An experiment with a water-saving “smart” faucet shows potential for reducing water use. The catch? Unbeknownst to study participants, the faucet’s smarts came from its human controller.
With the help of an artificial intelligence algorithm developed by a team of Stanford medical experts and computer scientists, radiologists improved their diagnoses of brain aneurysms.
