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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 ... network architecture and training approach." The researchers trained their RNN-based model using a four-step optimization algorithm.
Magnetic materials are in high demand. They're essential to the energy storage innovations on which electrification depends ...
This paper presents a solution addressing the challenges associated with increased screen time during remote work. Leveraging specialized hardware and convolutional neural networks, our real-time ...
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