CAMERA researchers develop highly efficient neural networks for analyzing experimental scientific images from limited training data

Designed for cheap DNA sequencers, technology could improve research quality-controls

FAU researchers have developed a technique using machine learning—a sub-field of artificial intelligence—that will enhance computer-aided diagnosis of melanoma

Scientists want to use algorithms to extract useful information from video footage, photos, and other material

Including “non-ideal” components in the designs may be key to functional artificial proteins

Scientists have developed an algorithm that automates a key step in forensic fingerprint analysis, which may make the process more reliable and efficient

To advance video facial identification for these and other applications, the National Institute of Standards and Technology conducted a large public test known as the Face in Video Evaluation

Big data techniques find biomarkers for autism spectrum disorder (ASD)

More accurate protein insights help researchers and pharmaceutical companies drive scientific breakthroughs

The work stems from Los Alamos research into computational material science, with broader applications to materials physics, energy security and weapons physics