Deep learning variant calling has transformed genomic accuracy. Discover how DeepVariant works, outperforms classical tools, ...

Artificial intelligence (AI) in research histopathology is turning whole-slide images of preclinical tissue into structured, quantitative data rather than a pathologist's subjective impression alone.

On July 7, 2026, the Federal Circuit affirmed summary judgment that claims of two machine learning patents covering orthodontic image analysis ...

AI analysis of snoring sounds may help identify the source of upper airway obstruction and support non-invasive sleep ...

Researchers at the University of Tokyo and the Innovation Center of NanoMedicine (iCONM) have developed an artificial ...

India’s ASTR facial recognition system has disconnected more than 50 million fraudulent mobile connections as of July 2026, ...

The spatial organization of chromatophore-muscle innervation by motoneurons enables the generation of chromatophore-shaped noise, virtual or composite chromatophores, and shape elements such as lines ...

Abstract: Although CNNs are widely considered as the state-of-the-art models in various applications of image analysis, one of the main challenges still open is the training of a CNN on high ...

A new study details the development of a cerebellum-inspired memtransistor engineered from atomically thin molybdenum disulfide.

Abstract: Convolutional Neural Networks (CNNs) have shown remarkable success across numerous tasks such as image classification, yet the theoretical understanding of their convergence remains ...

Two landmark studies reveal the psychiatric disorders genetic link across eight to fourteen conditions through shared ...

Working with concurrent electroencephalogram and functional magnetic resonance imaging technology at the Beckman Institute's ...