The U.S. Naval Research Laboratory (NRL) launched a remote sensing experiment to sharpen artificial intelligence (AI) ...
How detection theory and NFL analytics, reveal why College Football Playoff rankings struggle at scale—and why AI should ...
A quantum trick based on interferometric measurements allows a team of researchers at LMU to detect even the smallest ...
Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data ...
In fraud and bot detection, people usually think of fingerprinting as the classic browser or device fingerprint. This comes ...
Introduction: Why Data Quality Is Harder Than Ever Data quality has always been important, but in today’s world of ...
Transfer Learning for Anomaly Detection in Rotating Machinery Using Data-Driven Key Order Estimation
Abstract: The detection of anomalous behavior of an engineered system or its components is an important task for enhancing reliability, safety, and efficiency across various engineering applications.
Why 90% of enterprise AI projects fail to scale, and how Turinton is compressing adoption cycles by aligning AI with business ...
TNO’s advanced detection, threat management, and orchestration expertise ensures that critical IT and OT have sufficient ...
Abstract: Through the use of combined deep learning and anomaly detection approaches, this research investigates the area of cybersecurity threat detection. The study proves the framework’s ...
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