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The core problem tackled by this research is the opaque nature of many high-performing AI models used in fraud detection.
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Tech Xplore on MSNExplainable AI framework reveals how element combinations boost alloy strength and durabilityFound in knee replacements and bone plates, aircraft components, and catalytic converters, the exceptionally strong metals ...
Found in knee replacements and bone plates, aircraft components, and catalytic converters, the exceptionally strong metals known as multiple principal element alloys (MPEA) are about to get even ...
Verusen launched its Explainability AI Agent to bring transparency and trust to AI-driven materials and inventory ...
3dOpinion
The National Interest on MSNThe U.S. Should Rely on Performance, Not Explanation, When Evaluating AITo stay competitive, the U.S. should evaluate AI tools like large language models based on performance, not explainability.
Without clear insight into how AI models make decisions, businesses risk deploying tools that are unaccountable, biased or ...
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Tech Xplore on MSNAI methods help predict the emergence of 'gazelles' and other high-growth firms, but challenges remainPredicting whether or not companies will be successful is crucial for guiding investment decisions and designing effective ...
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