The fused features, along with the risk labels, are used to train a classifier for the risk assessment of cyclists. The proposed framework is validated using real-world data, and the comparative ...

The potential for mortgage lending fraud accelerated over the past year, with risk related to undisclosed transaction details driving much of the surge, according to Cotality. In its latest report, ...

Will Gates and other funders save massive public health database at risk from Trump cuts? UN in talks with governments and funding bodies to save highly cited, 40-year health data set used by ...

Aside from clouding customer focus, insurers adoption of agentic AI is founded on verifying identity, which, in its current state, is still vulnerable to fraud – an issue that must be addressed, ...

Under the umbrella of artificial intelligence (AI), deep learning enables systems to cluster data and provide incredibly accurate results. This study explores deep learning for fraud detection, ...

A Wake-Up Call for HR in the Age of Deepfakes and Remote Work In 2025, HR leaders are facing a new kind of threat: highly convincing fake applicants, AI-powered resume fraud, and deepfake interview ...