SANTA CLARA, CA - November 13, 2025 - - As machine learning (ML) systems become increasingly central to industries worldwide, ...

Osaka Metropolitan University researchers developed a technique to improve machine learning reliability and estimation results of gravitational wave parameters.

Their study is centred around answering three research questions: Do ANNs perform better than the traditional multiple regression models in the prediction of lighting parameters and energy demand of ...

Magnetic materials are in high demand. They're essential to the energy storage innovations on which electrification depends and to the robotics systems powering automation. They're also inside more ...

Development and Validation of an Ipsilateral Breast Tumor Recurrence Risk Estimation Tool Incorporating Real-World Data and Evidence From Meta-Analyses: A Retrospective Multicenter Cohort Study Data ...

A new software enables brain simulations which both imitate the processes in the brain in detail and can solve challenging ...

There are more candidates on the waitlist for a liver transplant than there are available organs, yet about half the time a ...

Soil moisture is a key factor driving the Earth’s water and carbon cycles, but large-scale monitoring has long been hindered ...