Over the past few decades, computer scientists have developed increasingly advanced artificial intelligence (AI) systems that can tackle some tasks exceedingly well. These include computer vision ...

Professors Emma Alexander, Manling Li, Han Liu, Marcelo Worsley, and their students represented Northwestern CS at CVPR 2026 ...

CVNets is a computer vision toolkit that allows researchers and engineers to train standard and novel mobile- and non-mobile computer vision models for variety of tasks, including object ...

IISc's research paper on dataset distillation is a top finalist at CVPR 2026, showcasing groundbreaking advancements in ...

Dell Technologies’ Jason Nassar explains how vision language models, edge computing, and more are changing what it takes to ...

Abstract: Despite noise and caption quality having been acknowledged as important factors impacting vision-language contrastive pre-training, in this paper, we show that the full potential of ...

Abstract: Most computer vision applications that use deep learning on constrained device come from the Internet of Things (IoT) or robotics fields, where low-quality cameras are used to capture input ...

As the 2026 FIFA World Cup unfolds across North America, the world is focused on the players, coaches, and dramatic moments on the field.

Claude AI robotics benchmark shows Opus 4.7 finishing physical robot programming in 9 minutes, against 181 minutes for ...

The IEEE Computer Society (CS) and the Computer Vision Foundation (CVF) announced the award-winning papers from the 2026 Conference on Computer Vision and Pattern Recognition (CVPR), recognizing ...

An AI that reads animal movements like words — and extracts meaning from them — has been developed by researchers in South ...

Ancestry employs AI and machine learning to expedite digitization of family records, boosting user tools and expanding ...