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

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 ...

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 ...

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

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 ...

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 ...