A new study presents a zero-shot learning (ZSL) framework for maize cob phenotyping, enabling the extraction of geometric ...

As the industry continues to face rising fire incidents and insurance challenges, operators are rethinking how they manage ...

Big models did not guarantee results in 2025. Now companies want AI that works under pressure and earns trust.

The study provides a roadmap for modernizing emergency response infrastructure. In large-scale disasters, time is the most ...

GM is probing false blind-spot warnings in Chevy Equinox and GMC Terrain crossovers. A service bulletin advises diagnosis, but no part replacements yet.

Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and ...

Abstract: In recent years, numerous efficient object detectors have emerged in computer vision. However, applying these models to remote sensing images remains challenging due to complex backgrounds, ...

With the rapid development of marine resource exploitation and the increasing demand for underwater robot inspection, achieving reliable target perception in turbid, low-illumination, and spectrally ...

Abstract: With the emergence of various large-scale deep learning models, in remote sensing images, the object detection effect is also plagued by complex calculations, high costs, and high ...

Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...

Experts have confirmed that the mysterious object hurtling towards us, previously dubbed A11pl3Z, is an "interstellar object." The cosmic interloper, officially named 3I/ATLAS, is only the third of ...