The machine-learning programs that underpin their ability to “see” still have blind spots—but not for much longer ...

Abstract: Deep learning models in computer vision face challenges such as high computational resource demands and limited generalization in practical scenarios. To address these issues, this study ...

By borrowing ideas from the brain, UT Dallas researchers have created hardware that learns on its own with minimal energy use ...

Freedom Bank Kazakhstan, a part of Freedom Holding Corp., a NASDAQ-listed finance and technology group, received the award in ...

MBZUAI, UAE’s AI-only university, builds talent and open models for underserved languages, linking research, industry and policy for human-AI solutions to global problems ...

The review reveals that supervised learning dominates AI-driven agriculture, accounting for nearly 60 to 88 percent of all ...

Abstract: In this paper, we propose a novel approach to minimize the inference delay in semantic segmentation using split learning (SL), tailored to the needs of real-time computer vision (CV) ...

California-based Cognixion is launching a clinical trial to allow paralyzed patients with speech disorders the ability to communicate without an invasive brain implant. Cognixion is one of several ...

There's a lot of excitement about ambient artificial intelligence in healthcare, but smart hospital platform Artisight has its eyes on developing fully hands-free autonomous monitoring and ...

The risk of fires in both indoor and outdoor scenarios is constantly rising around the world. The primary goal of a fire detection system is to minimize financial losses and human casualties by ...

DINOv3 represents a major leap in computer vision: its frozen universal backbone and SSL approach enable researchers and developers to tackle annotation-scarce tasks, deploy high-performance models ...