Stanford researchers have developed an innovative computer vision model that recognizes the real-world functions of objects, potentially allowing autonomous robots to select and use tools more ...

A new study questions the longstanding view that the visual system is divided into two pathways, one for object-recognition and the other for spatial tasks. Using computational vision models, ...

Deep convolutional neural networks (DCNNs) don't see objects the way humans do -- using configural shape perception -- and that could be dangerous in real-world AI applications. The study employed ...

Do humans learn the same way as computers? Cognitive psychologists have debated this question for decades, but in the past few years the remarkable accomplishments of deep-learning computer systems ...