Using ideas borrowed from topological photonics, researchers in Singapore, France and the US have designed a compact antenna capable of handling information-rich terahertz (THz) signals. Reporting ...

Outdated networks are undermining AI ROI and leaving enterprises exposed.

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...

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

An executive came for a career talk and few students showed up. That's not apathy. It's a probability problem — and it's ...

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Network planning has always been a bit reactive. Engineers analyze historical traffic data, build capacity models, and make infrastructure decisions based on what’s happened before. When congestion ...

In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of ...

Efficient traffic signal control is crucial for reducing congestion and improving vehicle flow in urban areas. This project implements a Genetic Algorithm (GA) to optimize traffic light timings using ...

ABSTRACT: Visual Sensor Networks (VSNs) focus on capturing data, extracting relevant information, and enabling communication. However, the presence of obstacles affects network efficiency, linking ...