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 ...

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 ...

Researchers from Politecnico di Milano propose a data-driven water leak detection method that treats leaks as anomalies in ...

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

Dr. James McCaffrey from Microsoft Research presents a complete program that uses the Python language LightGBM system to create a custom autoencoder for data anomaly detection. You can easily adapt ...

Devices with risky attributes, suspicious histories or questionable associations often drive fraud losses. Financial institutions including lenders, retail banks, fintechs, and others, struggle to ...

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 US Army Analytics Group (AAG) provides analytical services for various organizational operations and functions, including cybersecurity. AAG signed a Cooperative Research and Development Agreement ...

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 ...