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 ...

Network monitoring and anomaly detection constitute essential components of modern information systems, enabling the continuous surveillance of communication networks and the rapid identification of ...

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

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 ...

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 ...

What is explainable AI (XAI)? What are some of the use cases for XAI? What are the technology requirements for implementing XAI? Anomaly detection is the process of identifying when something deviates ...

Artificial Intelligence enabled threat detection for Blockchain attacks mainly involved in the application of deep learning and machine learning techniques to identify and mitigate vulnerable and ...

Automobiles are now more connected than ever. Not only can they communicate with other vehicles and inanimate objects, but fully autonomous vehicles are potentially around the corner (if there are no ...