In materials science, substances are often classified based on defining factors such as their elemental composition or ...

Subscribe to our newsletter for the latest sci-tech news updates. They demonstrate that AI and machine learning-based methods have the potential to provide accurate predictions if they overcome one ...

A new clinical test may be able to predict which biologic may be the most effective for each individual with rheumatoid ...

Learn how a new machine learning tool is improving the analysis of light-based spectral data, enabling better disease detection and material research. ... Light-Based Data Made Clearer With New ...

A machine learning-based method, LOCA-PRAM, enables real-time, high-precision detection of molecular biomarkers at the point of care by automating image analysis in photonic resonator absorption ...

LCGC International interviewed Bob Pirok from the University of Amsterdam, Netherlands to discuss strategies for enhancing ...

Researchers demonstrated GPUHammer — a Rowhammer attack against GPUs — by degrading the accuracy of machine learning models.

New research highlights how astrocytes, long considered mere support cells, actively shape brain network dynamics.

Methane (CH4) pyrolysis, a reaction that produces hydrogen without emitting carbon dioxide, often utilizes molten media ...

Now, three scientists at EPFL, Hui Chen, Duncan Alexander, and Cécile Hébert have developed a machine learning-based method called PSNMF ("non-negative matrix factorization-based pan-sharpening ...

Traditional methods, including commercial tools, require considerable time to produce accurate approximations, especially for complicated designs with numerous transistors. ML algorithms, on the other ...

Novel machine learning-based cluster analysis method that leverages target material property. ScienceDaily . Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2024 / 08 / 240806131212.htm ...