Machine learning models called convolutional neural networks (CNNs) power technologies like image recognition and language translation. A quantum counterpart—known as a quantum convolutional neural ...
Neural networks are one typical structure on which artificial intelligence can be based. The term neural describes their learning ability, which to some extent mimics the functioning of neurons in our ...
As artificial intelligence (AI) technology advances, the inherent limitations of conventional electronic processors in energy consumption and processing latency have become increasingly prominent.
Researchers developed a fully integrated photonic processor that can perform all the key computations of a deep neural network on a photonic chip, using light. This advance could improve the speed and ...
A new publication from Opto-Electronic Sciences; DOI 10.29026/oea.2025.240135, discusses how quasi-convolution coding empowers a streamlined reservoir computer. As the pace of digitalization ...
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Combining photonic neural networks with distributed acoustic sensing for infrastructure monitoring
Distributed acoustic sensing (DAS) systems represent cutting-edge technology in infrastructure monitoring, capable of ...
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(Nanowerk News) The deep neural network models that power today’s most demanding machine-learning applications have grown so large and complex that they are pushing the limits of traditional ...
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