HM Revenue & Customs (HMRC), the UK's tax authority, has announced a 10-year deal with British tech firm Quantexa to use AI ...
Yeshwanth Macha developed explainable AI models improving insurance fraud detection accuracy, transparency, compliance and ...
HM Revenue and Customs is building a fully digital tax and customs system, using AI to handle routine work connected to tax ...
The democratization of elite offensive capabilities means that the sophisticated attacker is now everyone, everywhere, all at ...
The solution analyses claims both before and after submission to identify risks, improve accuracy, and enhance ...
The United States Department of Justice (DOJ) recently announced the Fraud Oversight through Careful Use of Statistics (FOCUS) initiative – a ...
Sumsub has launched an upgrade to its deepfake detection product with instant online self-learning updates to address rapidly ...
As manual verification methods continue to show their limitations in modern risk environments, TrustLayer is expanding its AI ...
Machine learning often feels difficult at the beginning, especially when everything stays theoretical. That changes once you start working on real projects and see how models are actually used.
Abstract: Auto insurance claim fraud has become increasingly prevalent in recent years posing a significant challenge for the auto insurance industry. To address this issue there is a growing need for ...
Abstract: Credit card fraud detection presents a significant challenge due to the extreme class imbalance in transaction datasets. Traditional machine learning models struggle to achieve high recall ...
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