Although large language models (LLMs) have the potential to transform biomedical research, their ability to reason accurately across complex, data-rich domains remains unproven. To address this ...

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 ...

Features: High-performance computing is helping Space agencies and universities compress simulation cycles, train AI models faster, and enable more autonomous missions.

A study led by UC Riverside researchers offers a practical fix to one of artificial intelligence's toughest challenges by ...

The Nonlinear Systems and Control group is seeking a talented and ambitious Postdoctoral Researcher to develop machine learning-enabled approaches for predictive modelling and state estimation for ...

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

Concerns have been raised about the use of the data of more than 350,000 children after post-primary schools provided ...

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 ...