Brain-inspired AI-hardware mimics neural efficiency to cut energy use, enabling autonomous devices to navigate, adapt and make real-time decisions independently.

A University of Virginia Center for Diabetes Technology-developed algorithm—paired with a continuous glucose monitor—can help ...

Abstract: To address the key issues present in traditional lane line detection methods, such as high computational cost, neglect of visual cues, and insufficient handling of occluded lane lines, this ...

Abstract: Intelligent diagnosis based on dynamic ultrasound utilizes machine learning and image processing technologies to improve the speed and accuracy of ultrasound video diagnostics, thereby ...