<ul><li>Researchers at University of Oxford and Lumai Ltd. have published a technical paper titled 'Training neural networks with end-to-end optical backpropagation'.</li><li>The paper discusses the implementation of backpropagation in optical neural networks, which can significantly enhance computational speed and energy efficiency.</li><li>The researchers propose a simple scheme that employs saturable absorbers for the role of activation units in optical backpropagation, enabling the construction of NNs reliant on analog optical processes.</li><li>The study opens up possibilities for the development of optical hardware for machine learning, with potential advancements in computational speed and energy efficiency.</li></ul>

The Optical Implementation of Backpropagation (Oxford, Lumai)

Discover more