Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...

Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...

A new research paper was published in Volume 17, Issue 11 of Aging-US on November 26, 2025, titled “Epigenetic aging ...

Objective To examine whether a multicomponent commercial fitness app with very small (‘micro’) financial incentives (FI) ...

Overview: Clear problem definitions prevent wasted effort and keep machine learning work focused.Clean, well-understood data ...

The strong role of socioeconomic factors underscores the limits of purely spatial or technical solutions. While predictive models can identify where risk concentrates, addressing why it does so ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

A study conducted by experts from the University of the Philippines-Diliman showed that logistic regression is a reliable model for predicting the performance of licensure examination takers. Released ...

Researchers at National University of Singapore used multiple interpretable machine learning methods to predict traffic congestion in in Alameda ...

A new AI developed at Duke University can uncover simple, readable rules behind extremely complex systems. It studies how ...

This new AI acts like a digital scientist, turning messy data into simple rules that explain how the world really works.