With the rapid development of convolutional neural networks in image processing, deep learning has been widely applied to medical image segmentation tasks, including liver, retinal vessels, nuclei, ...

Srishti Sundram: I’m an entrepreneur and technology leader focused on building innovations that save lives and create meaningful impact at scale. I’m deeply passionate about using technology to solve ...

Abstract: Super-resolution (SR) imaging involves converting low-resolution images into corresponding high-resolution data in specific scenarios. Recent advances in intelligent image reconstruction ...

Properties must achieve a “C” EPC rating in two of three new green metrics Alex Marsh is a Money writer covering net zero. He was previously a reporter for Newsquest’s local newspapers in London. He ...

Investing.com -- U.S. markets slid sharply lower on Wednesday, led by another violent selloff across technology shares as pressure intensified in both software and semiconductors. Software stocks were ...

People say they hate AI-made ads. But in reality, they perform just as well as human-made ads and are often more cost-efficient, according to a Columbia Business School study conducted in partnership ...