In this paper, a content-based video anomaly detection algorithm (COVAD) is proposed, and its network structure is modified based on the original memory-based video anomaly detection algorithm.

Anomaly detection algorithms are leading the charge to take organizations away from the limitations of manually monitoring datasets. In its place is a wave of solutions that can not only make use of ...

In this talk, we present future research directions at Intel Labs using deep learning for anomaly detection and management. We discuss the required machine learning characteristics for such systems, ...

Machine learning can prove ideal for anomaly detection throughout the company network. Here are three key scenarios where this can be put to good use “Prevention is the daughter of intelligence,” said ...

Anomaly detection is one of the more difficult and underserved operational areas in the asset-servicing sector of financial institutions.

Machine learning (ML) and artificial intelligence (AI) algorithms have revolutionized anomaly detection, replacing the labor-intensive manual approach with more efficient methods.

A deep-learning algorithm could detect earthquakes by filtering out city noise The model could uncover quakes that would previously have been dismissed as human-generated vibrations.