Read more about AI and machine learning drive digital transformation across global mining operations on Devdiscourse ...

Worcester Polytechnic Institute (WPI) researchers have used a form of artificial intelligence (AI) to analyze anatomical changes in the brain and predict Alzheimer's disease with nearly 93% accuracy.

The American public has grown increasingly divided on political issues over the past few decades, but this trend does not ...

PVAD IQ integrates into existing ultrasound workflows as part of UltraSight™’s Echosystem, an AI-powered software platform designed to guide healthcare professionals in performing high-quality cardiac ...

Amyloid PET has become a pivotal imaging biomarker for Alzheimer disease (AD), enabling in vivo detection and quantification of β-amyloid deposition. However, variability in quantitative measurements ...

AI-enhanced optical spectroscopy revolutionizes food quality monitoring with rapid, non-destructive analysis, ensuring safety and reducing waste in production.

Researchers have developed a diagnostic panel that identifies cognitive decline by analyzing how blood proteins fold. This ...

This Perry County river town offers retirees the rare combination of stunning scenery, genuine community, and a cost of ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, proposed a quantum AI simulator that adopts a hybrid CPU-FPGA method. This system performs ...

Unsupervised learning is a branch of machine learning that focuses on analyzing unlabeled data to uncover hidden patterns, structures, and relationships. Unlike supervised learning, which requires pre ...

Dr. James McCaffrey presents a complete end-to-end demonstration of anomaly detection using k-means data clustering, implemented with JavaScript. Compared to other anomaly detection techniques, ...