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Abstract: Improving the quality of underwater images is essential for advancing marine research and technology. This work introduces a sparsity-driven interpretable neural network (SINET) for the ...
Combining newer neural networks with older AI systems could be the secret to building an AI to match or surpass human ...
Biological neural networks are immensely complex systems underlying all aspects of cognition and behavior. Despite significant advances in neuroscience, a ...
Machine learning models called convolutional neural networks (CNNs) power technologies like image recognition and language ...
Information Theory Meets Deep Neural Networks: Theory and Applications. The previous volume can be viewed here: Volume I Deep Neural Networks (DNNs) have become one of the most popular research ...
When Ali Faqirzada was detained after a routine asylum hearing in New York, officials from Bard College and the Episcopal Diocese tapped their networks to help. By Dionne Searcey After an Afghan ...
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