A novel encryption method devised by MIT researchers secures data used in online neural networks, without dramatically slowing their runtimes. This approach holds promise for using cloud-based neural networks for medical-image analysis and other applications that use sensitive data.
A ground-breaking advancement in materials research by successfully developing the world's first-ever 4D printing for ceramics, which are mechanically robust and can have complex shapes. This could turn a new page in the structural application of ceramics.
Can robots induce the same social influence and peer pressure as humans do? A new study shows that children adopt a false claim when this is expressed by a group of robots.
For ants and robots operating in confined spaces like tunnels, having more workers does not necessarily mean getting more work done. Just as too many cooks in a kitchen get in each other's way, having too many robots in tunnels creates clogs that can bring the work to a grinding halt.
In the midst of World War II on Aug. 18, 1943, the USS Abner Read struck what was presumed to be a Japanese mine in the Bering Sea. The catastrophic blast took the lives of 71 American sailors. For their families, the final resting place of loved ones lost remained unknown. Until now. On July 16, 2018, a team of researchers using robotics technology discovered the sunken stern of the World War II destroyer -- solving a 75-year-old mystery.
Young children are significantly more likely than adults to have their opinions and decisions influenced by robots, according to new research.
Robots can play an important role in the education of young people but will never fully replace teachers, a new study suggests.
A new study led by the University of Washington uses data gathered by floating drones in the Southern Ocean over past winters to learn how much carbon dioxide is transferred by the surrounding seas. Results show that in winter the open water nearest the sea ice surrounding Antarctica releases significantly more carbon dioxide than previously believed.
An artificial intelligence platform designed to identify a broad range of acute neurological illnesses, such as stroke, hemorrhage, and hydrocephalus, was shown to identify disease in CT scans in 1.2 seconds, faster than human diagnosis.
A multidisciplinary team of researchers from the National University of Singapore has developed an artificial intelligence technology platform that could potentially change the way drug combinations are being designed, hence enabling doctors to determine the most effective drug combination for a patient quickly.