The study addresses heterogeneous UAV cooperative task assignment under complex constraints via an energy learning ...

WiMi Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi-Channel Supervised Learning BEIJING, Jan. 05, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the ...

Most robot headlines follow a familiar script: a machine masters one narrow trick in a controlled lab, then comes the bold promise that everything is about to change. I usually tune those stories out.

For people, matching what they see on the ground to a map is second nature. For computers, it has been a major challenge. A Cornell research team has introduced a new method that helps machines make ...

Abstract: Video anomaly detection (VAD) has become a critical research focus in the realms of computer vision and intelligent transportation systems, particularly with the rise of generative AI and ...

INDIANAPOLIS — After a year of collecting data and hearing from residents across the city, Indianapolis leaders on Tuesday officially adopted the city’s first-ever Vision Zero Action Plan. The ...

Abstract: Multi-task learning (MTL) has emerged as a crucial approach for addressing complex computer vision problems in autonomous driving, such as semantic segmentation, object detection, and ...

Computer vision continues to be one of the most dynamic and impactful fields in artificial intelligence. Thanks to breakthroughs in deep learning, architecture design and data efficiency, machines are ...

One employee uses it to automate his weekly parking requests at OpenAI’s San Francisco office. One employee uses it to automate his weekly parking requests at OpenAI’s San Francisco office. is The ...