Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and microfluidics to nanomaterial testing, thanks to their compact size and ...

Conventional electronic noses rely on arrays of chemical sensors whose electrical responses are often affected by humidity, temperature fluctuations, and long-term drift. While these systems have ...

Machine learning redesigns microscopic web sensors to be five times more flexible than nature-inspired versions, enabling detection of masses as small as trillionths of a gram.

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

Spectral imaging is a vital tool for analyzing materials, monitoring crops, and tracking pollutants. But conventional systems face a major challenge as they ...

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

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 ...

We are now looking for a Doctoral Researcher in quantum computing and algorithms. Are you as excited about quantum technology and its future applications as we are?

Ultimately, the goal is to empower the automotive industry with smarter, more efficient technology. By focusing on full-stack innovation, supply chain agility, and specific niche excellence, ...

QT Imaging Holdings, Inc. (NASDAQ: QTI) ("QT Imaging" or the "Company"), a medical device company dedicated to transforming breast health management through innovative, radiation-free imaging ...

What: New analyses using early observations from the European Space Agency’s Euclid mission examine how galaxy mergers ...

An American high school student has stunned the scientific world by developing an algorithm to map 1.5 million previously ...