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VFF-Net algorithm provides promising alternative to backpropagation for AI training

Deep neural networks (DNNs), which power modern artificial intelligence (AI) models, are machine learning systems that learn ...
Science Daily

Synchronization in neural nets: Mathematical insight into neuron readout drives significant improvements in prediction accuracy

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, ...
Science Daily

Team streamlines neural networks to be more adept at computing on encrypted data

Researchers are rethinking basic functions that drive the ability of neural networks to make inferences on encrypted data. This week, at the 38th International Conference on Machine Learning (ICML 21) ...