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pitfalls of outsourcing our problems for technology to solve rather than addressing the causes, and of allowing outdated predictive modeling to go unchecked.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.
A leader in the earliest days of robotics, artificial intelligence and machine learning, Nilsson led the development of one of the first autonomous robots.
In order to make autonomous cars navigate more safely in difficult conditions – like icy roads – researchers are developing new control systems that learn from real-world driving experiences while leveraging insights from physics.
In an advance that could accelerate battery development and improve manufacturing, scientists have found how to accurately predict the useful lifespan of lithium-ion batteries.
Three high schoolers and a Stanford lab found that, when file size is restricted, humans are better at representing images than traditional algorithms.
Scientists are training machine learning algorithms to help shed light on earthquake hazards, volcanic eruptions, groundwater flow and longstanding mysteries about what goes on beneath the Earth’s surface.
In her latest research, Stanford classics scholar Adrienne Mayor highlights ancient Greek myths that contained ideas about creating artificial, lifelike creatures.
Stanford researchers are developing an AI-powered navigation system to direct spaceborne ‘tow trucks’ designed to restart or remove derelict satellites circling aimlessly in graveyard orbits.
New technologies help bring increased efficiency to the hiring process, but also pose significant challenges. One danger is that AI algorithms will embody and perpetuate existing bias.
Geophysicist Gregory Beroza discusses the culprits behind destructive aftershocks and why scientists are harnessing artificial intelligence to gain new insights into earthquake risks.
Many Stanford Medicine projects combine artificial intelligence technologies with medical expertise to help doctors make faster, more informed and humane decisions.
Like its predecessor, JackRabbot 2 is learning how to navigate safely through spaces occupied by people, following the rules of human etiquette. What it learns could help it move comfortably among us in the future.
Zohar Manna, who pioneered theoretical computer science techniques that today help form the basis for artificial intelligence and for reliable software, died at his home in Israel Aug. 30.
Stanford engineers combine two types of computers to create a faster and less energy-intensive image processor for use in autonomous vehicles, security cameras and medical devices.
Sounds accompanying computer-animated content are usually created with recordings. Now, a new system synthesizes synchronized sound at the push of a button.
In a first step toward generating an artificial intelligence program that can find new laws of nature, a Stanford team created a program that reproduced a complex human discovery – the periodic table.
Artificial intelligence offers both promise and peril as it revolutionizes the workplace, the economy and personal lives, says James Timbie of the Hoover Institution, who studies artificial intelligence and other technologies.
Artificial intelligence is now part of our daily lives, whether in voice recognition systems or route finding apps. But scientists are increasingly drawing on AI to understand society, design new materials and even improve our health.
