Rohan Arni, 17, used deep learning to study mysterious space signals with 98% accuracy; now he is a US Regeneron STS finalist

Rohan Arni, a 17-year-old student at High Technology High School in Lincroft, New Jersey, is among the 40 finalists of the 2026 Regeneron Science Talent Search. His project uses deep learning to ...

Machine learning predicts forest soil fungal diversity from drone images

Combining drone data and machine learning can help cover more ground in monitoring forest soil health, University of Alberta ...
Nature

AI agents are checking the scientific literature — and spotting decades-old errors

An AI fact-checking tool found errors in molecule boiling points listed in a chemistry reference database. Credit: Monty ...
Nature

This AI tool claims to pick the top 1% of preprints. Should researchers trust it?

QED Science says that its metrics reduce bias by assessing papers solely on the basis of their originality and validity.

Smart trap study points to more precise codling moth management

Researchers from Michigan State University's Department of Entomology found that automated camera traps often detected ...
Frontiers

AI-Driven Plant Intelligence: Bridging Multimodal Sensing, Adaptive Learning, and Ecological Sustainability in Precision Plant Protection Volume II

The escalating global demand for food security, coupled with environmental pressures such as climate change and biodiversity ...