Researchers applied the mathematical theory of synchronization to clarify how recurrent neural networks (RNNs) generate predictions, revealing a certain map, based on the generalized synchronization, ...

However, traffic state is a co-evolutionary multivariate time series with various parameters ... consists of a multi-parameter tensor graph convolutional network (MTGCN) and a tensor recurrent neural ...

Researchers have created an all-optical computer capable of 100 GHz speeds that runs off light instead of electricity.

Recurrent Neural Network,Time Series,Transformer Model,Wrist-worn Devices,1D Convolutional Neural Network,2D Images,3D Convolution,Angular Field,Attention Layer,Bounding Box,Continuous ...

The device paves the way for a new era of ultrafast computing, say researchers.

What will these scattered items say about you? Even if everything from your time on Earth—every letter, text, tax filing, ...

This important work substantially advances our understanding of episodic memory by proposing a biologically plausible mechanism through which hippocampal barcode activity enables efficient memory ...

But sadly, as 2025 begins, Max has removed some of our favorite Cartoon Network series from its platform. Of course, content removal happens all the time on streaming channels, but seeing our ...