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Tech Xplore on MSNPhotonic computing needs more nonlinearity: Acoustics can helpNeural networks are one typical structure on which artificial intelligence can be based. The term "neural" describes their ...
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Tech Xplore on MSNDual-domain architecture shows almost 40 times higher energy efficiency for running neural networksTheir proposed architecture was found to be promising for running neural networks, also allowing these networks to complete general inference tasks. "ACIM excels in performing highly parallel and ...
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Brain-inspired neural networks reveal insights into biological basis of relational learningThe artificial neural networks utilized by the researchers have ... "This is an intriguing parallel to the apparently different learning capacities across animal species documented for transitive ...
[Ramin Hasani] and colleague [Mathias Lechner] have been working with a new type of Artificial Neural Network called Liquid Neural Networks, and presented some of the exciting results at a recent ...
Artificial neural networks have been applied to problems ranging from speech recognition to prediction of protein secondary structure, classification of cancers and gene prediction. How do they ...
The transformative aspect of merging quantum computing with classical neural networks has been phenomenal in this fast-paced digital era. Here, Karthikeyan Raja ...
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