The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

Support vector machines improve classification by mapping inseparable signals into higher-dimensional spaces. Random forest models, through ensemble decision trees, increase robustness against ...

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

Thick cloud cover can completely obscure the surface of the Earth from satellite view, while thinner haze and shadows distort the image of rural and urban regions. As such, many remote sensing images ...

A University of Hawaiʻi at Mānoa student-led team has developed a new algorithm to help scientists determine direction in complex two-dimensional (2D) data, with potential applications ranging from ...

The F-35's AI-enhanced identification capability is blending sensor fusion with machine learning to classify unknown contacts ...

Across the U.S., hundreds of sites on land or in lakes and rivers are heavily contaminated with hazardous waste produced by human activity. Many of these places, designated as Superfund sites by the ...

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

Imaging science Ph.D. student Muhammad Akif Qadeer awarded Optica Foundation scholarship for his work in developing ultrafast ...

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 ...

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