Explainable AI allows payment providers to communicate clear, human-understandable reasons for decision. Reduce false ...
Industry analysts have highlighted the rise of generative AI, autonomous analytics, and explainable AI (XAI) as defining ...
A new explainable AI technique transparently classifies images without compromising accuracy. The method, developed at the University of Michigan, opens up AI for situations where understanding why a ...
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Architecting data and AI systems that remain explainable, governable, and trusted at scale
In today’s enterprise environments, data no longer functions as a record of what has happened. It operates as a live ...
Arango’s multi-model, graph-powered platform provides a unified contextual data layer that supports reasoning, transparency, and scale across AI-driven financial systems, preserving shared business ...
Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...
An artificial intelligence (AI) model achieved a sensitivity of 91.8% in detecting pancreatic cancer on CT scans at diagnosis, with a 53.9% sensitivity for scans taken 1 year or more before diagnosis.
The greatest risk in financial AI isn't that machines will make mistakes. It's that institutions will believe they understand those machines when they don't.
Scientists have built an AI tool that predicts coral heat stress weeks early, giving reef managers time to act before bleaching starts.
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