New method using Raman spectroscopy and machine learning estimates organic maturity in rocks, crucial for oil exploration, ...

Joint research led by Sosuke Ito of the University of Tokyo has shown that nonequilibrium thermodynamics, a branch of physics ...

The study highlights machine learning's role in predicting concrete strength with industrial waste, promoting low-carbon solutions in the construction industry.

MIT researchers designed a computationally efficient algorithm for machine learning with symmetric data that also requires fewer data for training than conventional approaches. Their work could inform ...

Researchers in China have developed a powerful machine learning model that can help determine which patients with nasopharyngeal carcinoma (NPC) are likely to respond well to radiotherapy-a common ...

While the precedent set by Recentive Analytics, Inc. v. Fox Corp.[1] presents a formidable challenge, it does not represent a complete foreclosure ...

Metacognition, EFL Learners, Digital Intelligence Era, Artificial Intelligence (AI), Adaptive Learning, Self-Regulated Learning, Digital Literacy Share and Cite: Yang, X.X. (2025) The Evolution of ...

Background Current risk scores inadequately predict long-term mortality after transcatheter aortic valve replacement (TAVR), ...

This research aims to reactivate object-oriented databases using intelligent tools to improve performance and accuracy in ...

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...