Quantum technologies are anticipated to transform computing, communication, and sensing by harnessing the unusual behavior of matter at the atomic scale. Translating quantum's promise into practical ...

The automatic detection of surface-level irregularities—defects or anomalies—in 3D data is of significant interest for various real-world purposes, such as industrial quality inspection, ...

Artificial intelligence detectors are increasingly used to check the veracity of content online. We ran more than 1,000 tests ...

Researchers have proposed a multimodal sensor fusion approach to AI-based fault detection in 3D printing, aiming to push AM monitoring closer to reliable, Industry 4.0 operation.

Cervical spondylotic myelopathy (CSM) refers to spinal cord compression from arthritis in the neck and is the leading cause of spinal cord dysfunction in older adults. CSM is a chronic, progressive ...

Abstract: Polyethylene (PE) pipes are vital for residential gas systems, but hole defects at hot-melt joints are prone to lead to pipe failure. Affected by the complex background noise interference at ...

Tesla CEO Elon Musk, who turned an upstart electric vehicle maker into an industry-changing powerhouse, is pulling the plug on the two models that helped get him there, as he struggles with another ...

The AI model rapidly maps boundary conditions to molecular alignment and defect locations, replacing hours of simulation and enabling fast exploration and inverse design of advanced optical materials.

Joe Grantham is a contributor from the UK with a degree in Classical Studies. His love for gaming is only rivaled by a deep passion for medieval history, which often seeps into his articles. With over ...

In the 1992 film, “Sneakers,” a team of security specialists scans surveillance footage of Dr. Gunter Janek, a mathematician who’s invented a revolutionary codebreaker and hidden it in a black ...

Researchers from Stony Brook University, in collaboration with Ecosuite and Ecogy Energy, have developed a self-supervised machine-learning algorithm designed to identify physical anomalies in solar ...