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 sequences. By automating feature extraction and capturing long ...

Evolving challenges and strategies in AI/ML model deployment and hardware optimization have a big impact on NPU architectures ...

Why is a Chinese quant shop behind one of the world’s strongest open-weight LLMs? It turns out that modern quantitative ...

The 2026 International Production & Processing Expo (IPPE) is about to open its doors, and Shanghai Xiashu Intelligent ...

Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving ...

This study presents a solar-powered robot integrating AI and IoT for real-time plant disease detection, offering a scalable solution for sustainable farming.

Across the physical world, many intricate structures form via symmetry breaking. When a system with inherent symmetry ...

CES 2026 showcases the latest AI-powered devices and systems, from vision chips for automotive to sensing solutions for AI ...

Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...

(2026) AI Assisted Material Selection Framework for Corrosion Resistant Steels in Onshore Oil and Gas Pipelines. Open Journal ...