One of the challenges with existing fraud detection systems is that they are primarily rules-based, using predefined notions of what constitutes fraudulent or suspicious behavior. The problem is that ...

Biometrics pioneer Dr. Anil K. Jain joins ROC’s Board of Directors, bringing five decades of expertise in pattern recognition ...

A new neuro-symbolic framework called Delta Semantics keeps machine learning outputs provably consistent with evolving ...

Researchers have combined blockchain-based customer authentication with an ensemble of three machine learning classifiers to ...

Unsupervised learning is a type of machine learning (ML) technique that uses artificial intelligence (AI) algorithms to identify patterns in data sets that are neither classified nor labeled.

Introduction I first started working with machine learning in earnest when I took on a small project to classify internal inquiry logs. I managed to get scikit-learn code running by piecing together ...