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

The research, titled AI-Driven Hybrid Deep Learning and Swarm Intelligence for Predictive Maintenance of Smart Manufacturing Robots in Industry 4.0 and published in Electronics, introduces an AI ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

Microgrids play a growing role in modern power systems, supporting renewable integration, local resilience, and decentralized ...

EDN announces this year’s winners of the Electronic Products Product of the Year Awards, selected by the editors.

Ultra-low-latency data processing is central to high-frequency trading, where nanosecond-level delays define competitive ...

A team at the University of California, San Diego has redesigned how RRAM operates in an effort to accelerate the execution ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

Researchers at The Hong Kong University of Science and Technology (HKUST) School of Engineering have developed a novel ...

A study led by Dartmouth Engineering professors demonstrates a possible new technique for connecting electronic implants with the surface of the brain, as well as a new method for ensuring safe, ...

There are various ways to work together in a network based on Windows 11. The simplest is to set up a shared workgroup, a kind of team of computers with equal rights. The workgroup in Windows 11 ...