A new artificial intelligence (AI) method called BioPathNet helps researchers systematically search large biological data ...
Aware Infrastructure (PAI) to support generative AI development while enforcing privacy across complex data flows. Using ...
Researchers from the University of St Andrews have developed an AI tool that reads animal movement from video and turns it ...
DiaCardia, a novel artificial intelligence model that can accurately identify individuals with prediabetes using either ...
A new AI tool can generate realistic future knee X-rays, showing how osteoarthritis may develop over the next year.
Abstract: This paper presents LYRICEL, a framework integrating Knowledge Graph (KG) representation learning, Large Language Models (LLMs), and machine learning for reliable, explainable, and ...
1 Department of Computer Science, The University of Alabama at Birmingham, Birmingham, AL, United States 2 Department of Computer Science, Washington University in St. Louis, St. Louis, MO, United ...
Graph Neural Networks (GNNs) are reshaping AI by enhancing data interpretation and improving applications. Learn how GNNs are crucial in advancing machine learning models. Graph Neural Networks (GNNs) ...
The exponential growth of digital financial services has created unprecedented challenges in fraud prevention and identity verification. Traditional rule-based systems struggle to keep pace with ...
ABSTRACT: Purpose: The purpose of this study is to develop a scalable, risk-aware artificial intelligence (AI) framework capable of detecting financial fraud in high-throughput digital transaction ...
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