A new study published in the International Journal of General Medicine showed that physicians may reliably estimate the ...

A hybrid model combining LM, GA, and BP neural networks improves TCM's diagnostic accuracy for IPF, achieving 81.22% ...

The five-year, $584,034 project — “CAREER: Opening the Black Box: Advancing Interpretable Machine Learning for Computer Vision” — aims to bring greater transparency and accountability to AI-powered ...

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

What if artificial intelligence could turn centuries of scientific literature—and just a few lab experiments—into a smarter, ...

A research team from the Xinjiang Astronomical Observatory (XAO) of the Chinese Academy of Sciences has developed an interpretable artificial intelligence (AI) framework named Convolutional Kolmogorov ...

Machine learning (ML) is rapidly emerging as a powerful tool to improve the safety, reliability, and long-term performance of marine structures exposed to harsh ocean environments. This study presents ...

Researchers successfully formalized human-like chemical reasoning into a machine-interpretable framework to enhance automated ...

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 ...

The Temporal Fusion Transformer model provides near-real-time insights into sintering temperatures, addressing critical challenges in steelmaking processes.

At the heart of the friction is a simple contrast. The ledger must be immutable, reconcilable to the last decimal, and ...

Chemical reactions are the breaking and forming of chemical bonds, which are fundamental to the creation of new technologies. Inevitably, discovering and developing new chemical reactions is a ...