Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
An intelligent tax administration framework integrates data standardization, automated workflows, and dynamic risk modeling to enhance fraud detection in digital environments. By combining machine ...
Mandar Parab joins the Global Recognition Awards judging panel, leveraging machine learning expertise at Levi Strauss & Co., Epic for Kids, and NIO. His background in artificial intelligence enables ...
A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
In machine learning, privacy risks often emerge from inference-based attacks. Model inversion techniques can reconstruct ...
Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
A new perspective paper argues that the future of medicine depends not on replacing physicians with artificial intelligence, ...
Overview: Healthcare systems worldwide continue to struggle with access, affordability, and workforce shortages, leaving ...
Enterprise adoption of cognitive intelligence platforms has accelerated, yet executive confidence has not kept pace. Many deployments promise ...
Artificial intelligence is transforming heart transplantation (HT), with models achieving a 0.962 area under the curve (AUC) for rejection surveillance and 94% precision in donor matching, as a recent ...
The Datrix Group martech company is among the organizations selected globally in the BI and Advanced Analytics category ...
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