A new academic study argues that fraud detection systems must evolve beyond accuracy-focused prediction tools into ...
Abstract: Fraud in supply chain operations poses significant risks to businesses, including financial losses, operational inefficiencies, and erosion of stakeholder trust. With the increasing ...
Overview: AI-powered fraud detection tools are rapidly being adopted by banks and fintechs to block scams and reduce losses.New platforms combine machine learni ...
The project will build upon CSIRO’s expertise in the field of QML to develop new and innovative QML models. QML has the potential to offer enhanced reliability, training speed-up and unique feature ...
Artificial Intelligence is now a familiar concept but has only recently gained widespread public attention, mainly because of such software as ChatGPT, the chatbot developed by OpenAI. Three ...
The review reports that blockchain-enhanced federated learning systems typically achieve slightly lower raw accuracy than ...
Who: MapR Chief Application Architect Ted Dunning will present a session titled: "Complement Deep Learning with Cheap Learning," and MapR Data Scientist Joseph Blue will present a session titled: ...
Overview: AI in financial services uses machine learning and automation to analyze data in real time, improving speed, accuracy, and decision-making across bank ...
PORTLAND, OR--(Marketwired - Sep 20, 2016) - iovation, the leading provider of device-based solutions for authentication and fraud prevention, today announced the launch of iovationScore. The ...
Ravelin, a machine learning fraud detection company based in London, has raised approximately $3.7 million (£3M) in funding to support its growing global client base. The finance round was led by ...
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