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 ...
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 ...
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 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 ...
Modern supply chains have become highly digitized, producing an unprecedented volume and complexity of data. Large enterprises operate vast integration pipelines linking systems like SAP S/4HANA, SAP ...
The most important challenge to the security of blockchains remains the protection of users from malicious signature requests as the adoption of cryptocurrencies goes on to gain even more momentum. A ...
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 ...
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