Abstract: The support vector machine (SVM) is a very important machine learning algorithm with state-of-the-art performance on many classification problems. However, on large datasets it is very slow ...

Abstract: Supervised learning approaches are widely used for driving style classification; however, they often require a large amount of labeled training data, which is usually scarce in a real-world ...

Materials testing remains a cornerstone of engineering and manufacturing, ensuring that components and structures—from ...

Phishing is a form of cybercrime in which people are deceived into exposing their personal information which can result in ...

Vulnerabilities & Threats Insider Threats Cyber Risk AI-Generated Workflows Are a Silent Security Disaster Teams are dealing with a truly dangerous problem — automation that works, but that no one ...

Executives approved a bold AI roadmap. Cloud spending climbed 40, 50, even 70 percent. And yet the AI workloads that made ...

Antivirus software used to hunt for known malware, but now it’s predicting suspicious behavior before an attack fully lands.

This is a compelling opportunity to join a market leader where you will work at the intersection of data, machine learning, and business impact, using advanced analytics to drive strategic ...

The Intel Arc G3 Extreme powers MSI's Claw 8 EX AI+ gaming handheld with strong performance and features, but its steep price ...

While legacy banks keep corporate money idled in slow regional accounts, a new protocol allows software systems to settle ...

Tom Fenton explains how local AI fits into the broader private AI discussion for VMware environments, distinguishing enterprise-scale private AI deployments from smaller local AI setups running on ...

One of the greatest weaknesses of AI agents that read and understand vast amounts of enterprise data is "hallucination"—the ...