Optibrium, a leading developer of software and AI solutions for molecular design, today announced its partnership with ...

Muscle force and joint kinematics estimation from surface electromyography (sEMG) are essential for real-time biomechanical analysis of the dynamic interplay among neural muscle stimulation, muscle ...

Although various machine learning-based methods have been proposed for condition monitoring in power elec-tronics, they are challenging to be implemented in practice due to the accuracy, data ...

CHICAGO, July 2, 2025 /PRNewswire/ -- The global weather RADAR market was valued at US$ 158.43 million in 2024 and is ...

In joint research with the University of Tokyo (UTokyo), the National Institute of Advanced Industrial Science and Technology ...

Magnetic materials are in high demand. They're essential to the energy storage innovations on which electrification depends ...

We speak to Cern principal scientist Archana Sharma about pattern recognition, machine learning and quantum technology.

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

Using an advanced Monte Carlo method, Caltech researchers found a way to tame the infinite complexity of Feynman diagrams and ...

Researchers at Tohoku University used machine learning potential to create large-scale models of tin (Sn) catalysts under ...