Semi‐ and unsupervised learning constitute two pivotal paradigms for extracting structure and meaning from data when explicit labels are sparse or entirely absent. In semi‐supervised learning, a small ...

Traditional approaches to autonomous vehicles (AVs) rely on using millions of miles of driving data in conjunction with even more miles of simulated data as inputs to supervised machine learning ...

We develop a clustering-based algorithm to detect loan applicants who submit multiple applications (“cross-applicants”) in a loan-level dataset without personal identifiers. A key innovation of our ...

An international research team developed a multi-stage intrusion detection system that uses supervised and unsupervised AI techniques to detect and mitigate cyber threats in smart renewable energy ...

Forbes contributors publish independent expert analyses and insights. Writes about the future of payments. As machine learning continues to reshape the financial services industry, most headlines are ...