Recent breakthroughs are redefining medieval scholarship, with AI systems transcribing tens of thousands of manuscripts, enhancing degraded texts, detecting illuminations, and even mapping ancient ...

I’ve been flying multispectral missions for a few years now, and the biggest surprise of these systems is how much processing ...

(Nanowerk Spotlight) In the age of big data, we are generating more images than we can actually process. Autonomous vehicles, medical scanners, and quality control systems rely heavily on ...

Traditional machine learning (TML) algorithms remain indispensable tools for the analysis of biomedical images, offering significant advantages in multimodal data integration, interpretability, ...

Monoclonal antibody (mAb) manufacturing must continually improve to keep up with increasing demands. To do this, biomanufacturers can deploy machine learning tools to augment traditional process ...

Image segmentation is a fundamental process in digital image analysis, with applications in object recognition, medical imaging, and computer vision. Traditional segmentation techniques often struggle ...

Medical imaging has long been a cornerstone of modern healthcare, enabling doctors to detect diseases, monitor progress, and guide treatments. Today, the integration of machine learning is pushing the ...

Business owners and other interested parties were recently given the chance to test and learn more about the state's only “high-pressure processing” machine. They gathered last week in Wahiawā during ...

Founder of Bleeding Cool. The longest-serving digital news reporter in the world, since 1992. Author of The Flying Friar, Holed Up, The Avengefuls, Doctor Who: Room With A Deja Vu, The Many Murders Of ...

Abstract: Industrial defect detection is crucial for ensuring product quality and production efficiency, playing a pivotal role in advancing smart manufacturing. This paper reviews defect detection ...