Fabrinet recently reported fiscal second-quarter 2026 results, with revenue rising to US$1.13 billion and net income reaching US$112.63 million, alongside higher earnings per share versus a year ...

An agentic AI tool for battery researchers harnesses data from previous battery designs to predict the cycle life of new ...

How can California State University, Northridge student athletes enhance their performances? Learning how to get a good night ...

A 'learner,' 'interpreter' and 'oracle' work together with minimal experiments to draw parallels between historical data and new battery designs A ...

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

A machine learning model trained on EEG data from patients recovering from strokes helps predict how new patients will regain ...

For each of these 160 researchers, the Niels Bohr Library & Archives will forever be connected to them, in a footnote at ...

“Many foundational problems in perception, multimodal reasoning, and agent coordination are being actively addressed in 2026.

From computers to smartphones, from smart appliances to the internet itself, the technology we use every day only exists ...

The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...

The power that makes electric vehicles travel further and smartphones last longer comes from battery materials. Among them, the core material that ...

Abstract: In this paper, we address the important problem of student academic performance prediction, with an emphasis on improving the learning process for lowering failure rates. This research has ...