A cavity magnon polariton system achieves 99.2% speech recognition accuracy using reservoir computing while consuming just ...
On Thursday, Google and the Computer History Museum (CHM) jointly released the source code for AlexNet, the convolutional ...
A new kind of memristor mimics how the brain learns by combining analog and digital behavior, offering a promising solution ...
It was the shot heard 'round the world - a neural network that finally fulfilled decades of theoretical promise.
Memristors consume extremely little power and behave similarly to brain cells. Researchers from Jülich have now introduced ...
An openly available generative AI tool can interpret millions of cells in human tissues in hours, revealing new insights and allowing researchers and clinicians to ask questions about conditions such ...
Researchers have mapped the long-range synaptic connections involved in vocal learning in zebra finches, uncovering new ...
This paper presents a novel CFO self-compensating neural network. A CFO compensation module is designed ... it can be applied to all modulation schemes that are demodulable using constellation ...
Quantum convolutional neural networks (QCNNs) represent a promising approach in ... developing an effective QML algorithm capable of handling arbitrary data dimensions. Figure 1. A schematic of the ...
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