Crop pests cause substantial yield losses worldwide and pose persistent challenges to sustainable agriculture.

Abstract: Face recognition (FR) is one of the most widely used biometric methods for identity authentication. Although most of the recently proposed methods demonstrate remarkable performance on ...

Abstract: Convolutional Neural Networks (CNNs) have grown into a powerful picture identification tool. They are an important part of making Internet of Things (IoT) apps. In this regard, CNNs make it ...

An efficient neural screening approach rapidly identifies circuit modules governing distinct behavioral transitions in ...

Self-driving cars did not disappear. They simply slipped out of the spotlight. While attention shifted to generative AI, ...

As sensor data overwhelms the cloud, Innatera’s neuromorphic chips bring always-on, ultra-low-power AI directly to the edge. But how?

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

South Korean researchers have developed a guided-learning framework that accurately predicts PV power without requiring irradiance sensors during operation, using routine meteorological data instead.

The UK government's proposed reforms to policing in England and Wales signal an increase in the use of facial recognition ...

According to A Survey of AI-Enabled Predictive Maintenance for Railway Infrastructure: Models, Data Sources, and Research Challenges, published in Sensors, AI-based predictive maintenance systems ...

Detecting concealed explosives and chemical threats constitutes a critical challenge in global security, yet current technologies often face significant operational limitations. While X-ray scanners ...

Order doesn’t always form perfectly—and those imperfections can be surprisingly powerful. In materials like liquid crystals, tiny “defects” emerge when symmetry breaks, shaping everything from cosmic ...