Not all of the schemes were convincing, and the models sometimes got confused, started spouting gibberish that would give ...

Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models ...

Streaming fraud remains one of the biggest concerns facing the global music business, with the use of bots, click farms and ...

Today’s enterprises store valuable business intelligence in documents, including Word files, PDFs, spreadsheets, and physical records. By extracting valuable insights from documents, enterprise ...

SardineAI Corp announces the release of a fraud risk operations guide focused on the distinction between machine learning vs generative AI as an operational consideration within financial crime ...

Congress must invest in smarter IRS enforcement — especially through artificial intelligence — and create a fairer tax system ...

Kumo has unveiled KumoRFM-2, a next-generation foundation model designed specifically for structured enterprise data—marking ...

The tendency is to continue to do things the way we did before because that's how law, policy and culture are aligned in agencies," said Dan Chenok.

Abstract: Insurance fraud is a loss for both the insurers and the honest insured. To counter this, a hybrid model was created combining XGBoost and SVM, supported by Optical Character Recognition (OCR ...