Researchers have developed a powerful new software toolbox that allows realistic brain models to be trained directly on data.

Abstract: Equivariant quantum graph neural networks (EQGNNs) offer a potentially powerful method to process graph data. However, existing EQGNN models only consider the permutation symmetry of graphs, ...

Abstract: The pinching-antenna system is a novel flexible-antenna technology, capable of both mitigating large-scale path loss and reconfiguring antenna arrays adaptively. Its core principle relies on ...

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Neural is a domain-specific language (DSL) designed for defining, training, debugging, and deploying neural networks. With declarative syntax, cross-framework support, and built-in execution tracing ...

Learn how to build the Adam optimizer from scratch in Python. Perfect for beginners who want to understand how modern optimizers work in deep learning. #AdamOptimizer #DeepLearning #PythonTutorial ...