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 ...

Dr. James McCaffrey presents a complete end-to-end demonstration of anomaly detection using k-means data clustering, ...

Security remains a dominant challenge in remote health monitoring. Medical data is deeply sensitive, and breaches can expose patients to identity theft, insurance exploitation or targeted cyberattacks ...

Indian banks shift to ML models for FCC as rule-based systems falter against fraud, per KPMG. RBI's FREE-AI and SEBI guidelines accelerate AI in AML, fraud detection; 15+ banks use MuleHunter.AI ...

Machine learning models can spot signs of contamination in cell culture much sooner than traditional approaches.