ORCA Computing Collaborates with ST Engineering to Explore Quantum Technology for Advancing Cybersecurity

ORCA Computing, a leading quantum computing company, today announced a collaboration with ST Engineering to advance ...
InfoWorld

How to use anomaly detection in Azure machine learning

One key part of Microsoft’s big bet on machine learning is that these technologies need to be democratized, turned into relatively simple-to-understand building blocks that Microsoft’s developer ...
TechCrunch

Financial firms should leverage machine learning to make anomaly detection easier

Anomaly detection is one of the more difficult and underserved operational areas in the asset-servicing sector of financial institutions. Broadly speaking, a true anomaly is one that deviates from the ...
Statetechmagazine

State and Local Agencies Can Identify Cyberthreats Through Anomaly Detection

Doug Bonderud is an award-winning writer capable of bridging the gap between complex and conversational across technology, innovation and the human condition. By defining a set of normal user and ...
EDN

Anomaly Detection Through Machine Learning

With the vast amount of data produced by IoT devices and systems, it cannot be avoided that some of this data can get lost. In order to resolve this issue, IBM is pleased to introduce an IoT solution ...
The Manila Times

TransUnion Unveils Enhancements to Next-Generation Device Risk Solution to Combat Rising Fraud Losses

Enhanced capabilities deliver superior device recognition, advanced anomaly detection and adaptive machine learning, helping businesses stay ahead of evolving fraud threats ...
Nature

Anomaly Detection in Images Using Deep Learning Techniques

Anomaly detection in images is rapidly emerging as a critical field in both industrial quality control and medical diagnostics. Leveraging deep learning techniques, researchers have developed methods ...