Thanks to a new artificial intelligence system created by Aston University researchers; now, long lines at traffic signals may be a thing of the past.
Scientists from the University of Cambridge prepared their robot chef to analyze the saltiness of a dish at various stages of the chewing procedure, simulating a similar method in humans, in partnership with domestic appliance manufacturer Beko.
The Universitat Politècnica de València is a partner in IV4XR (Intelligent Verification/Validation for Extended Reality-Based Systems), a multinational initiative whose major goal is to ensure the quality of Extended Reality (XR) software and applications, through its VRAIN Institute.
A team of MIT researchers has developed a solution to one of the things really holding scientists back from fully autonomous driving - a vehicle’s ability to accurately predict human behavior.
Humans may be one of the biggest roadblocks keeping fully autonomous vehicles off city streets.
Researchers at the University of California Irvine have made an imaging algorithm using deep learning to achieve color vision in dark conditions.
Today Tennant Company, a world leader in designing, manufacturing, and marketing solutions to reinvent how the world cleans, announced the introduction of lithium-ion technology to their portfolio of AMR machines, including the T380AMR, T7AMR, and T16AMR.
Even though robots don't have eyes with retinas, the key to helping them see and interact with the world more naturally and safely may rest in optical coherence tomography (OCT) machines commonly found in the offices of ophthalmologists.
Establishing human-robot trust isn't always easy. Beyond the fear of automation going rogue, robots simply don't communicate how they are doing. When this happens, establishing a basis for humans to trust robots can be difficult.
From chatbots that answer tax questions to algorithms that drive autonomous vehicles and dish out medical diagnoses, artificial intelligence undergirds many aspects of daily life. Creating smarter, more accurate systems requires a hybrid human-machine approach, according to researchers at the University of California, Irvine.