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

Detecting complex chemical odors and gas mixtures is essential for environmental safety, healthcare, and food quality control, yet traditional gas sensors often struggle with limited selectivity, ...

Plasma mirrors capable of withstanding the intensity of powerful lasers are being designed through an emerging machine learning framework. Researchers in Physics and Computer Science at the University ...

Optical percutaneous needle biopsy techniques are revolutionizing tumor diagnostics, enabling real-time analysis and ...

Advances in ultrasound—the same imaging technology that uses sound waves to allow doctors to monitor babies in utero—are being applied by engineers at the University of California San Diego to make ...

In the fast-evolving world of telecommunications, 2026 promises to be a pivotal year. As global operators grapple with ...

AI-powered spectral sensor performs machine learning during light capture, identifying materials and chemicals in real time ...

The world’s first AI-based optical diagnostic platform offers potential for near-instant diagnosis of CSF rhinorrhea.

AI-powered document processing automates data extraction, classification, and validation with 95-99% accuracyMarket projected ...

Optical quantum computing is regularly referred to as ‘photonic quantum computing’. This technology harnesses photons as qubits, which are the basic units of quantum information.

The Doñana National Park, considered one of Europe's most valuable wetlands, is expected to lose its marshland in 61 years, according to calculations from a major water-resource monitoring study ...

New patent points to HbA1c estimation, providing blood glucose trends and not real-time feedback ...