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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 ...
The Stanford Institute for Human-Centered Artificial Intelligence today released the latest edition of its AI Index Report, which explores the past year’s machine learning developments. Stanford HAI, ...
Researchers have developed an algorithm to train an analog neural network just as accurately as a digital one, enabling the development of more efficient alternatives to power-hungry deep learning ...
Neural networks made from photonic chips can be trained using on-chip backpropagation – the most widely used approach to training neural networks, according to a new study. The findings pave the way ...
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