Patrick Traynor, Ph.D., has questions. When the professor and interim chair of the University of Florida Department of ...

Scienaptic AI, a leading provider of AI-powered credit decisioning, announced today that Barksdale Federal Credit Union has selected its platform to enhance origination fraud and anomaly detection to ...

Abstract: To address issues such as the insufficient utilization of spatial information in hyperspectral imagery (HSI), this letter proposes a novel hyperspectral anomaly detection algorithm based on ...

Understand how Market Manipulation Detection in Web3 utilizes AI analytics to uncover wash trading, MEV patterns, and coordinated trading behavior. This guide analyzes the shift from reactive ...

Artificial intelligence detectors are increasingly used to check the veracity of content online. We ran more than 1,000 tests and found several strengths and plenty of weaknesses. By Stuart A.

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Real-time detection of anomalies in data streams is a foundation of modern applied analysis in complex systems. It enables experts to design rapid, efficient, reliable, and high-performance decision ...

Modern cyberattacks in cyber-physical systems (CPS) rapidly evolve and cannot be deterred effectively with most current methods which focused on characterizing past threats. Adaptive anomaly detection ...

ABSTRACT: We introduce in this paper MIES-TR, an intelligent model for real-time syllable boundary detection during keyboard typing. This innovative approach positions the syllable as an intermediate ...

Abstract: Artificial intelligence techniques have been extensively employed in anomaly detection tasks for massive systems and equipment across numerous industries, achieving notable success.