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Quantum-activated neural reservoirs on-chip open up large hardware security models for resilient authentication
Quantum artificial intelligence is a frontier of artificial intelligence research, pioneering quantum AI-powered circuits to address problems beyond the reach of deep learning with classical architectures.
Ranking Regularization for Critical Rare Classes: Minimizing False Positives at a High True Positive Rate
In this paper, we present a novel approach to address the challenge of minimizing false positives for systems that need to operate at a high true positive rate.
A Long Short-term Memory Based Recurrent Neural Network for Interventional MRI Reconstruction
Here we proposed a convolutional long short-term memory (Conv-LSTM) based recurrent neural network (RNN), or ConvLR, to reconstruct interventional images with golden-angle radial sampling.
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