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Researchers have created a type of neural network that works not with electricity but with so-called active colloidal particles
Artificial intelligence using neural networks performs calculations digitally with the help of microelectronic chips. Physicists at Leipzig University have now created a type of neural network that works not with electricity but with so-called active colloidal particles. In their publication in the prestigious journal “Nature Communications”, the researchers describe how these microparticles can be used as a physical system for artificial intelligence and the prediction of time series.
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