Multiomics data integration with machine learning has become the standard approach for combining genomic, transcriptomic, proteomic, and metabolomic measurements collected from the same biological ...

Abstract: The success of modern single image super-resolution (SISR) algorithms is inspired by the development of deep convolutional neural networks (CNNs). However, these CNN-based methods require ...

Genome-wide association studies (GWAS) have catalogued hundreds of thousands of genetic variants linked to complex human traits and diseases, with more than 625,000 variant-trait associations across ...

Doctors at central Ohio’s major hospital systems say artificial intelligence is helping them see more than they could before.

Artificial Intelligence is transforming GI endoscopy by improving detection accuracy, enhancing diagnosis, and supporting ...

A difficulty-graded mouse brain dataset pairs 3D microscopy images with verified neuron reconstructions to support AI-driven ...

Using AI and Australia's supercomputing infrastructure, researchers mapped 94 million craters on Mars, transforming planetary ...

Researchers at Nagoya University in Japan have developed gallium-doped zinc oxide (GZO) nanosheets that may enhance camera ...

VeriSilicon’s CPP2000 Camera Post-Processing IP improves image quality for reliable vision performance in robotics and drones ...

The explosive growth of data generated by artificial intelligence, cloud computing and modern digital infrastructure is ...

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 ...

DriveNets unveiled a scale-across networking deployment connecting two WhiteFiber data centers located some 50 miles apart to ...