Edge AI addresses high-performance, low-latency requirements by embedding intelligence directly into industrial devices.

For example, a Convolutional Neural Network (CNN) trained on thousands of radar echoes can recognize the unique spatial signature of a small metallic fragment, even when its signal is partially masked ...

A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...

This column focuses on open-weight models from China, Liquid Foundation Models, performant lean models, and a Titan from ...

The most powerful artificial intelligence tools all have one thing in common. Whether they are writing poetry or predicting ...

Regulations limit both the intensity and frequency of whip use during horse racing. Nevertheless, compliance is currently verified manually after each race. Researchers at University of Tsukuba have ...

Regulations limit both the intensity and frequency of whip use during horse racing. Nevertheless, compliance is currently ...

The Indonesian Throughflow carries both warm water and fresh water from the Pacific into the Indian Ocean. As the only ...

The researchers also found that combining data from both the Maluku Strait and the nearby Halmahera Strait further improved predictions of system-wide conditions.

Early-2026 explainer reframes transformer attention: tokenized text becomes Q/K/V self-attention maps, not linear prediction.

Introduction: As the number of Internet of Things (IoT) devices grows quickly, cyber threats are becoming more complex and increasingly sophisticated; thus, we need a more robust network security ...