Researchers review the recent advances of deep learning-basedimage anomaly detection since the rapid development ofdeep learning can bring the capabilities of image anomaly detection into the factory ...
The core value of unsupervised learning lies in its ability for data-driven exploration, making it particularly suitable for the diversity and unknowns of industrial defects. On the technical ...
The patent obtained by Zhoupu Data focuses on utilizing machine learning technology for business process anomaly detection.
Deep learning model outperformed clinical tools, cutting false positives and enhancing accuracy in CT lung cancer screening ...
Government procurement contracts can be complicated, with extensive risk analysis and compliance reviews. The traditional methods of contract analytics are time-consuming and often inexact, thus ...
As enterprise AI continues to evolve, the success of this initiative provides a compelling blueprint for how strategic ...
News-Medical.Net on MSN
Deep learning tool improves accuracy of lung nodule malignancy detection
An artificial intelligence (AI) deep learning tool that estimates the malignancy risk of lung nodules achieved high cancer detection rates while significantly reducing false-positive results.
Tax fraud is a persistent global challenge, with annual losses surpassing USD 1 trillion in corporate tax revenue alone. The ...
Scienaptic AI, a leading provider of AI-powered credit decisioning, announced today that Patriot Federal Credit Union has selected its platform to enhance real-time fraud and anomaly detection to ...
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