Law Offices of Pius Joseph reports on how AI is revolutionizing the insurance claims process, streamlining efficiency but raising concerns about accuracy and fairness.

The AI-driven fraud analytics framework operates across multiple areas to identify suspicious patterns in real time.

For online casino and gambling firms, customer verification and monitoring are an integral part of operations. In regulated local markets, regulators require them.

Silo Season 3 dropped on Apple TV+ at 3:00 AM ET today, July 3, and its premiere episode, "Who Are You?", contained a scene that research published in 2025 makes disturbingly current: a fabricated ...

There is a pattern emerging from recent work in pure mathematics that deserves more attention from financial technologists ...

Abstract: Uncrewed Aerial Vehicle (UAV)-based small object detection is crucial for traffic monitoring, precision agriculture, and power system inspection. However, UAV images face challenges ...

Humans have been successfully trained to spot AI-generated faces in a study led by researchers at the Australian National ...

Democracy Now! speaks with science fiction author, activist and journalist Cory Doctorow about AI and his latest book, The ...

Endoscopy-based deep learning algorithms demonstrate excellent accuracy for detecting early ESCC and significantly outperformed junior endoscopists. Endoscopy-based deep learning (DL) algorithms ...

Abstract: With the rapid growth of the automobile finance credit market, fraud risks—particularly organized and covert activities—pose significant challenges to traditional single-dimensional risk ...

A congressional report released Monday accuses senior Minnesota officials, including Gov. Tim Walz and Attorney General Keith Ellison, of ignoring clear warnings of widespread fraud in federally ...