Researchers have developed a machine-learning workflow for processing complex 2D X-ray total scattering data from thin film ...

Ink authentication is often complicated by tampering, aging, and chemical variability. Now, forensic scientists are turning ...

shenzhen, May 20, 2025 (GLOBE NEWSWIRE) -- Shenzhen, May. 20, 2025/––MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), announced that quantum algorithms will be deeply integrated ...

New machine learning algorithm promises advances in computing Digital twin models may enhance future autonomous systems Date: May 9, 2024 Source: Ohio State University Summary: Systems controlled ...

Finding relationships between bio-signals and health outcomes is complicated for many reasons, including sorting out irrelevant data.

A team of physicists, geologists and signal theorists from the University of Granada, Spain, has developed a machine-learning-based algorithm designed to predict when Mount St. Helens will erupt.

The set-up features a quantum photonic circuit built at the Politecnico di Milano (Italy), which runs a machine learning algorithm first proposed by researchers working at Quantinuum (United Kingdom).

Machine learning has been implemented before in drug discovery — the authors cite a test performed by the Merck Kaggle competition in 2012, in which the teams used machine learning algorithms to ...