Fingerprint, a leader in device intelligence for fraud prevention, today announced the addition of AI-powered recommendations ...

A machine learning model analyzing CpG-based DNA methylation accurately predicted the origin of many different cancer types ...

Tungsten's superior performance in extreme environments makes it a leading candidate for plasma-facing components (PFCs) in ...

In a future perhaps not too far away, artificial intelligence and its subfield of machine learning (ML) tools and models, ...

At HRS 2026, Dr. Song Zuo presented evidence that AI can detect atrial fibrillation with over 90% sensitivity, ...

Idbio has secured top results in two of NIST’s most significant evaluations, IREX 10 for iris recognition and PFT III for ...

Researchers from Cornell University and KAIST have developed a system that turns ordinary smartwatches ...

For many years, a dominant view in neuroscience was that neurons in the inferotemporal (IT) cortex—a critical center in the ...

Head and neck cancers represent a biologically heterogeneous group of malignancies requiring accurate diagnosis, staging, and risk stratification for ...

Identification of each animal in a collective becomes possible even when individuals are never all visible simultaneously, enabling faster and more accurate analysis of collective behavior.

This study highlights the potential for using deep learning methods on longitudinal health data from both primary and ...

This repo contains the source code of the 1st place solution for Global Wheat Detection Challenge. In this competition, you’ll detect wheat heads from outdoor images of wheat plants, including wheat ...