New research details how infrared thermography, high-definition imaging and neural network analysis can combine to make concrete bridge inspections more efficient. Researchers are hopeful that their ...

Scientists aiming to advance cancer diagnostics have developed a machine learning tool that is able to identify ...

Artificial intelligence and robotics are revolutionizing drug discovery by automating laboratory processes and enabling rapid, data-driven breakthroughs. This hybrid approach is cutting costs, ...

Necati Catbas collaborated with his former civil engineering student Marwan Debees, Ph.D., who now works as a NASA Bridge Program manager, on research that details how infrared thermography, ...

"We wanted to demonstrate that this neural network based variational approach ... emerge in 2D electron systems when a strong magnetic field is applied to them. The computational method developed ...

A ransomware attack has triggered a “system-wide technology outage” at a network of over a dozen medical centers in Ohio, causing the cancellation of elective inpatient and outpatient ...

But it goes beyond merely understanding the field, as Charlotte Moseley (Executive Director for Client Engagement at IPG Health Medical Communications) cautioned: “We’ve got lots of rules and ...

There’s evidence that some medical disorders actually come in clusters, often due to underlying biology and metabolic changes, such as obesity, says Dr. Batsis. Having obesity is linked with ...

Our expert, award-winning staff selects the products we cover and rigorously researches and tests our top picks. If you buy through our links, we may get a commission. Attila covers software, apps ...

We have introduced Compact Shortcut Denoising Auto-encoder (CS-DAE) neural network, which reduces the noise from ECG signals. The Compact Shortcut approach compresses the features passed through the ...

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