Adaptive optical neural network connects thousands of artificial neurons

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Adaptive optical neural network connects thousands of artificial neurons
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Physicists working with computer specialists have developed a so-called event-based architecture, using photonic processors. In a similar way to the brain, this makes possible the continuous adaptation of the connections within the neural network.

Scientists headed by physicists Prof. Wolfram Pernice, Prof. Martin Salinga and computer specialist Prof. Benjamin Risse, all from the University of Münster , developed a so-called event-based architecture, using photonic processors. In a similar way to the brain, this makes possible the continuous adaptation of the connections within the neural network.

In comparison with traditional electronic processors, light-based processors offer a significantly higher bandwidth, making it possible to carry out complex computing tasks, and with lower energy consumption. This new approach consists of basic research.

Researchers have proposed a novel system inspired by the neuromodulation of the brain, referred to as a 'stashing system,' that requires less energy consumption. Computer scientists have ...

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