Researchers developed an AI model to detect myocardial ischemia and coronary microvascular and vasomotor dysfunction using ...

Abstract: This study compares the relative utility of deep learning models as automated phenotypic classifiers, built with features of peripheral blood cell populations assayed with flow cytometry. We ...

Discover the leading code analysis tools for DevOps teams in 2025. Enhance your software development process with automated security and quality checks to mitigate risks and improve code health.

Accuracy is the make-or-break factor. If a detector flags too much code by mistake, it wastes time and frustrates developers. If it misses AI-generated sections, it cannot deliver the transparency ...

Abstract: In this paper, the authors introduce a novel feature extraction method based on pattern detection in financial data to enhance the performance of deep learning models for financial time ...

Data centers are built for redundancy, yet one of their most common points of failure still comes from something as old ...

Explore real-time threat detection in post-quantum AI inference environments. Learn how to protect against evolving threats and secure model context protocol (mcp) deployments with future-proof ...

Powerful water pressure breaks down thick dirt layers on this carpet, slowly revealing the original pattern underneath. This deep carpet cleaning process focuses on heavy buildup removal, gradual ...

An advanced, AI-powered Security Operations Center (SOC) that protects your applications from prompt injection attacks, data extraction attempts, and other security threats using incremental learning ...

Ailsa Ostovitz has been accused of using AI on three assignments in two different classes this school year. "It's mentally exhausting because it's like I know this is my work," says Ostovitz, 17. "I ...

Cloud operators utilize collective communication optimizers to enhance the efficiency of the single-tenant, centrally managed training clusters they manage. However, current optimizers struggle to ...