Retinal detachments can be diagnosed using a deep learning-powered fundus imaging system, offering expertise to screening sites.
1d
Deep learning detects foodborne bacteria within three hours by eliminating debris misclassifications
Researchers have significantly enhanced an artificial intelligence tool used to rapidly detect bacterial contamination in ...
As artificial intelligence becomes more advanced and common, it's hard to know what's real or not, complicating the search ...
Ensemble integrating three architectures achieved area under the curve of 0.9208, outperforming individual models.
Researchers have significantly enhanced an artificial intelligence tool used to rapidly detect bacterial contamination in food by eliminating misclassifications of food debris that looks like bacteria ...
Phishing websites remain a persistent cybersecurity threat, exploiting users by imitating trusted online services. New ...
Researchers at the University of Michigan have created an AI system that can interpret brain MRI scans in just seconds, accurately identifying a wide range of neurological conditions and determining ...
Mastercard's Decision Intelligence Pro uses recurrent neural networks to analyze 160 billion yearly transactions in under 50 ...
From replacing lost remotes to backing up access tools, these practical Flipper Zero tricks are beginner-friendly and ...
Abstract: Deep learning (DL) models have been proven to be highly effective in detecting false data injection attacks (FDIAs) in smart grids relying only on the measurements of the secured component.
Abstract: Seismic phase picking is a critical task for earthquake detection and localization, where traditional methods rely on manual parameter tuning and have great difficulty to capture complex ...
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