BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs ...

Digital finance is accelerating, and threats are evolving in complexity, outpacing traditional methods for detecting fraud.

This article explores the current applications of artificial intelligence (AI) in chromatography. It anticipates AI’s ...

Researchers at EPFL have created a mathematical model that helps explain how breaking language into sequences makes modern AI ...

The Vector-HaSH model reveals how place cells and grid cells help with memory storage, by indexing without erasing previous ...

In fact, a recent global survey by SAS of 500 business leaders across industries reinforces these projections as it found ...

ML-driven surveillance systems can flag early signals of disease outbreaks by detecting non-linear trends and hidden ...

The dataset used was a widely known credit card fraud detection benchmark obtained from Kaggle. It is notoriously imbalanced, ...

A new study shows AI can detect Parkinson’s disease with 94.4% accuracy by analyzing volatile organic compounds in earwax ...

Researchers developed a two-stage ML model to predict coating degradation by linking environmental factors to physical ...

An AI-driven framework improves early credit risk detection in internet finance by integrating CNNs and knowledge graph theory. The system enhances prediction accuracy across structured and ...

Scientists have identified the discrete group of co-activated neurons in the brain that work to suppress binge drinking ...