In engineering classrooms, the disconnect between rigorous mathematical concepts and their practical applications can hinder ...
Abstract: Recently, demands and usages of artificial intelligence are growing more and more. The various of electrical computation devices, such as mobile devices, are being built with AI technology.
The cerebral cortex is strongly recurrently connected with complex wiring rules. This circuitry can now be probed by studying responses to optogenetic perturbations of one or small numbers of cells.
Matrix-vector multiplication is a fundamental operation in modern signal processing and artificial intelligence. Developing a chip-scale photonic matrix-vector multiplication processor (MVMP) offers ...
[2024/05/14] Convolutional KAN and Fast KAN layers are available [2024/05/15] Convolutional ChebyKAN is available now. MNIST, CIFAR10, and CIFAR100 benchmarks are added. [2024/05/19] ResNet-like, ...
Graph neural networks (GNNs) have been applied with great success across science and engineering, but we do not understand why they work so well. Motivated by experimental evidence of a rich phase ...
In the past few decades, multi-linear algebra also known as tensor algebra has been adapted and employed as a tool for various engineering applications. Recent developments in tensor algebra have ...
Introduction: Using MRI to synthesize CT and substitute its function in radiation therapy has drawn wide research interests. Currently, deep learning models have become the first choice for MRI—CT ...
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