Combining concepts from statistical physics with machine learning, researchers at the University of Bayreuth have shown that ...

Former Paul Hastings partner Esther Chiang and computer scientist Kristen Gandhi are launching a startup called SmartEsq ...

Current clinical tools rely on known cardiovascular risk elements, but they often do not account for complex interactions ...

Meteoroid impacts create seismic waves that cause Mars to shake more strongly and deeply than previously thought. This is ...

Announcing a new publication for Acta Materia Medica journal. The binding affinity of aptamers to targets has a crucial role in the pharmaceutical and biosensing effects. Despite diverse ...

proposed a graph machine learning model, namely TREE, based on the Transformer framework. With this novel Transformer-based architecture, TREE not only identifies the most influential omics data ...

Companies have an abundant amount of data to work with, but insights coupled with actionable information remain elusive.

When analyzing odorants in food or their raw materials, the formation of artifacts can significantly distort the results. In ...

Skoltech and MIPT researchers have sped up the search for high-performance metal alloys for the aerospace industry, ...

Researchers have systematically detailed, step by step, how cognitive maps form in the brain's hippocampus -- a region responsible for learning and memory.

New research reveals that brain cells use a muscle-like signaling mechanism to relay information over long distances.