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 ...

That challenge is examined in the study Towards Eco-Friendly Cybersecurity: Machine Learning-Based Anomaly Detection with ...

Overview: AI cybersecurity uses machine learning and automation to detect threats in real time.Leading firms in the USA are ...

Key market opportunities in the price anomaly detection AI sector include rising adoption of AI and ML technologies, ...

Introduction: Why Data Quality Is Harder Than Ever Data quality has always been important, but in today’s world of ...

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 ...

Demos include PC-based and FS42 camera-based deep learning optical character recognition, deep learning anomaly detection on the newly launched Zebra NS42 camera (Credit: Zebra) Machine vision, edge ...

Security teams face an impossible choice: set thresholds too sensitive and drown in false positives, or set them too loose and miss real attacks. Traditional monitoring systems force this trade-off ...

Bernice Asantewaa Kyere on modeling that immediately caught my attention. The paper titled “A Critical Examination of Transformational Leadership in Implementing Flipped Classrooms for Mathematics ...