WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...
4hon MSN
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 ...
Lightweight convolutional neural networks improved lung cancer classification accuracy in histopathological images while ...
As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...
Researchers from King Abdullah University of Science and Technology (KAUST) have developed deepBlastoid, the first deep-learning platform specifically designed for the high-throughput, automated ...
Ensemble integrating three architectures achieved area under the curve of 0.9208, outperforming individual models.
AI algorithms analyse complex medical images with speed and precision, supporting early disease detection.Radiology and ...
Tech Xplore on MSN
Detection of concealed explosives using terahertz spectral imaging and deep learning
Detecting concealed explosives and chemical threats constitutes a critical challenge in global security, yet current technologies often face significant operational limitations. While X-ray scanners ...
A new study published in the Journal of the American Medical Association showed that using retinal scans of premature infants ...
News-Medical.Net on MSN
New AI model eliminates false positives in food testing
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 ...
Retinal detachments can be diagnosed using a deep learning-powered fundus imaging system, offering expertise to screening sites.
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