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AKIDA - Neuromorphic Computing

OverviewFeaturesRequest Datasheet
  • fixed Neuron model with right -sized Synapses minimized on-chip RAM
  • programmable training and firing threshold
  • Flexible neural processor cores - highly optimized to perform convolution
  • Global spike bus connecting all neural processors
  • Multi-chip expandable to 1.2 Billion neurons
  • most efficient spiking neural network implementation
  • able to replicate most of the CNN functionality
  • 10 classifiers (517k Neurons)
  • right sized for embedded applications
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