Researchers from UCLA have created a mobile device called c-Air that measures air quality in a cost-effective way. The device uses a mobile microscope connected to a smartphone and a machine-learning ...

Machine learning has the potential to fuel major technological developments in countless fields, with Alphabet’s X division already investigating agriculture and food production usage. A team inside ...

Engineers have developed a microscope that adapts its lighting angles, colors and patterns while teaching itself the optimal settings needed to complete a given diagnostic task. In the initial ...

UCLA researchers have developed a cost-effective mobile device to measure air quality. It works by detecting pollutants and determining their concentration and size using a mobile microscope connected ...