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Spiking neural networks have some research traction but to date have none of the same appeal of convolutional, recurrent and other machine learning approaches. Loihi is a promising architecture in ...
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Spiking Neural Network Chip for Smarter Sensors - MSNThe Pulsar chip possesses a hybrid analog-digital architecture. In addition to 12 digital cores for spiking neural networks, it also has four analog ones, ...
A new publication from Opto-Electronic Advances, 10.29026/oea.2023.230140 discusses photonic integrated neuro-synaptic core for convolutional spiking neural network.
For its creation, we rallied experts from various disciplines within imec – from the development of training algorithms and spiking neural network architectures that take neuroscience as a basis, to ...
BrainChip, has become the first company to bring a production spiking neural network architecture – the Akida Neuromorphic System-on-Chip (NSoC) – to market. The Akida NSoC is intended for use in edge ...
“This paper presents a novel spiking neural network (SNN) classifier architecture for enabling always-on artificial intelligent (AI) functions, such as keyword spotting (KWS) and visual wake-up, in ...
Spiking neural networks (SNNs) often are touted as a way to get close to the power efficiency of the brain, but there is widespread confusion about what exactly that means. In fact, there is ...
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