Overview Credit card fraud detection is an extreme class-imbalance problem: fraud is ~0.17% of transactions, so a model that predicts "never fraud" is 99.8% accurate and completely useless. This ...

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HHS using AI to detect fraud after DOJ reveals alleged billion-dollar scheme The Department of Justice uncovers a $6.5 billion healthcare fraud scheme, detailing how culprits bought luxury homes, ...

ST. PAUL, Minn. (Valley News Live) - A Fargo, North Dakota, woman accused of using fake credentials and the identities of licensed professionals to provide counseling services in Minnesota is among ...

The Supreme Court is set to decide a case that could overturn laws in 30 states that provide grace periods, which allow counting mail ballots received after Election Day but sent on time. Meanwhile, ...

Pulling off health insurance fraud used to require real skill. Fabricating medical records demanded knowledge of clinical terminology and billing codes. Impersonating a patient or physician over the ...

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Big tech companies and small start-ups are using social media to hype new tools that allow students to trick teachers and A.I. detectors. By Dana Goldstein The videos are all over social media, making ...

Rex-Omni is a 3B-parameter Multimodal Large Language Model (MLLM) that redefines object detection and a wide range of other visual perception tasks as a simple next-token prediction problem.

Abstract: Machine Learning (ML) algorithms are robust in addressing complex challenges, such as detecting financial fraud in real-world scenarios. This research highlights the significance of ML ...