New deep-learning framework reconstructs hourly PM2.5 chemical composition using air-quality and meteorological data ...

Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known Heston option pricing model as a benchmark, researchers show that global ...

High school students gain PhD-led mentorship, publish original research, and build real-world AI models through ...

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...

A new technical paper titled “High-clockrate free-space optical in-memory computing” was published by researchers at UC Berkeley, USC,  and TU Berlin. Abstract “The ability to process and act on data ...

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 ...

Small and dense but filled with vitally important neural fibers, the brainstem has been hard for brain imaging technologies ...

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

Innovations addressing some of the world’s most pressing challenges took centre stage at the Innovator Meet Tech Exhibition ...

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