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For decades, scientists have looked to light as a way to speed up computing. Photonic neural networks—systems that use light ...
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A recurrent neural network-based framework to non-linearly model behaviorally relevant neural dynamicsMany existing methods for exploring the link between neural activity and behavior rely on the analysis of static images and ... neural network architecture and training approach." The researchers ...
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Synthetic cannabinoids, a class of new psychoactive substances, have emerged as a significant public health and social ...
Machine learning and deep learning techniques are used in image classification. The execution of a classification system is based on the quality of extracted image features. This paper deals with the ...
Recent studies on integrating multiple omics data highlighted the potential to advance our understanding of the cancer disease process. Computational models based on graph neural networks and ...
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