The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle collisions at the LHC. This new approach can reconstruct collisions more quickly ...

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 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 ...

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 ...

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 ...

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

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

The joint U.S. and Israeli offensive on Iran has done more than escalate a ...

A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account the laws of physics—using Newton's third law. Their research is published ...

Advances in machine learning and shape-memory polymers are enabling engineers to design for mechanical performance first and ...

A research team figured out a way to write data onto wafers of glass using lasers, and unlike, for example, a magnetic tape, ...