Stream computing systems are critical platforms for real-time processing and analysis of data streams, widely applied in ...

Google researchers published a new paper detailing a new way to catch spammers who are using generative AI to flood Google’s platform with spam and overwhelm its quality filters. While the research is ...

Cell death in dementia has long posed a frustrating problem. Toxic proteins pile up inside neurons in Alzheimer’s disease and ...

Euclid has uncovered 31 ancient quasars, including two record-breakers that push deeper into cosmic history and illuminate ...

Long-standing relationships between patients and their general practice are associated with fewer urgent hospital admissions and lower hospital costs, one of two new papers in Annals of Family ...

Explore Kerala's ongoing challenges with the Nipah virus, highlighting zoonotic risks and public health responses to recurrent outbreaks.

Under the award from a leading U.S. Defense Prime Contractor, Forterra, Safe Pro will integrate and test its proprietary advanced computer vision and machine learning AI pipeline onboard autonomous ...

Abstract: Recently, clustering-based methods have been the dominant solution for unsupervised person re-identification (ReID). Memory-based contrastive learning is widely used for its effectiveness in ...

A multinational aerospace, defense, and security technology company has begun marketing an upgrade to its Automatic License Plate Reader (ALPR) system that records smart device identifiers — like ...

Good morning, everyone, and welcome to Part 1 of Arrowhead Pharmaceuticals' 2026 Summer Series of R&D webinars. [Operator Instructions] As a reminder, this call is being recorded, and a replay will be ...

A hymn praising the city of Babylon and its people, silent for more than a thousand years, has been reconstructed from broken ...

Abstract: As one type of efficient unsupervised learning methods, clustering algorithms have been widely used in data mining and knowledge discovery with noticeable advantages. However, clustering ...