NEURD automates the proofreading process, identifying and correcting errors in the neural networks, "cleaning" up and ...

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Our findings suggest that the use of Graph Neural Network convolutions, combined with a final linear layer and skip connections, allow for an improvement in the state-of-the-art results, especially ...

Laboratory for Biomolecular Simulation Research, Institute for Quantitative Biomedicine and Department of Chemistry and Chemical Biology, Rutgers University, Piscataway, New Jersey 08854, United ...

The Celo blockchain's long-awaited plan of becoming an Ethereum layer-2 chain has been completed, ending an almost two-year process, the main organizations behind the network said Wednesday.

Deep neural networks formed the core architecture of AlexNet, with multiple layers that could learn increasingly complex visual features. The network was named after Krizhevsky, who implemented ...

A new paper by researchers at Ensemble AI published on the arXiv preprint* server, titled “NdLinear Is All You Need for Representation Learning,” introduces a powerful new approach to linear layers in ...

In this exercise, you'll write code to do forward propagation for a neural network with 2 hidden layers. Each hidden layer has two nodes. The input data has been preloaded as input_data. The nodes in ...

We present a novel Multi-Branch Attention Convolutional Neural Network (MBACNN) architecture for this design ... of all involved links are first passed to separate self-attention layers to obtain ...