Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and ...

Read more about how machine learning and deep learning differ, where each is used, and how businesses choose between them in ...

By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.

Explore how machine learning in insurance enhances risk assessment, fraud detection, and personalization. ✓ Subscribe for ...

DUBAI, 17th February, 2026 (WAM) -- The UAE’s Artificial Intelligence, Digital Economy, and Remote Work Applications Office, in collaboration with Samsung Gulf Electronics, celebrated the graduation ...

The researchers suggest that this improvement in diagnostic performance for OFC biomarker discovery can be used to develop a diagnostic alternative for food allergy that is scalable and more efficient ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of uncertainty. Researchers have developed a lightweight machine learning framework that ...

The new AI-powered functionalities consist of AI-managed Beamforming, AI-powered Outdoor Positioning, and a state-of-the-art ...

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 ...

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 ...

Researchers at the University of Bayreuth have developed a method using artificial intelligence that can significantly speed up the calculation of liquid properties. The AI approach predicts the ...