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 ...

There's plenty of buzz around how AI can make self-healing networks a reality -- but how close are we to that, really?

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

As organizations continue to move their systems to the cloud, they face a tough question: How do you keep an eye on ...

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 ...

The identification of potential microbial contamination in cell cultures is an integral part of cell therapy manufacturing to ensure their safety, sterility and quality prior to use in patients ...

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 ...