Cornell researchers develop a novel method employing low-cost, stereo cameras that allow autonomous vehicles to detect 3D objects with a range and accuracy approaching that of LiDAR. A group of Cornell researchers have published a paper demonstrating a new approach to object detection that shows potential to significantly reduce the cost of self-driving vehicle hardware.…
Helping computers perceive human emotions
Personalized machine-learning models capture subtle variations in facial expressions to better gauge how we feel. MIT Media Lab researchers have developed a machine-learning model that takes computers a step closer to interpreting our emotions as naturally as humans do. In the growing field of “affective computing,” robots and computers are being developed to analyze facial…
Personalized deep learning improves robots for autism therapy
Children with autism spectrum conditions often have trouble recognizing the emotional states of people around them – distinguishing a happy face from a fearful face, for instance. To remedy this, some therapists use kid-friendly robots for autism therapy to demonstrate those emotions and to engage the children in imitating the emotions and responding to them…