Researchers developed a terahertz imaging platform that uses deep learning to separate chemical signatures from noise. The ...

A recent white paper by a working group of the International Atomic Energy Agency (IAEA) provided a comprehensive overview of the technical foundations, deployment areas, clinical ...

As sensor data overwhelms the cloud, Innatera’s neuromorphic chips bring always-on, ultra-low-power AI directly to the edge. But how?

The Art Institute’s First Norman Rockwell, “The Dugout,” Is A Painting Of The Cubs ...

Researchers have significantly enhanced an artificial intelligence tool used to rapidly detect bacterial contamination in ...

Ensemble integrating three architectures achieved area under the curve of 0.9208, outperforming individual models.

The Magnetom Flow.Ace, a novel 1.5 tesla (T) platform for magnetic resonance imaging (MRI), has been installed at the Animal Neurology Center in St Louis, Missouri—the first installation system in a ...

Traditional computational electromagnetics (CEM) methods—such as MoM, FEM, or FDTD—offer high fidelity, but struggle to scale ...

Retinal detachments can be diagnosed using a deep learning-powered fundus imaging system, offering expertise to screening sites.

There is an emerging convergence between atherosclerotic cardiovascular disease and cancer, driven by shared risk factors and overlapping pathophysiologic mechanisms. Traditional factors, such as ...

Engineers at the University of California San Diego have developed a new way to train artificial intelligence systems to solve complex problems more reliably, particularly those that require ...