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CMEnK, CogniMem, Cognitive Computing, Artificial intelligence,clustering,data mining,expandable neural network,global sensing,Machine learning,neural network chip,neuron chip,neuronal processor,neurons,parallel neural network,pattern matching,pattern recognition chip,Restricted Coulomb Energy,smart sensors,super computing,trainable neural network

CMEnK, CogniMem, Cognitive Computing, Artificial intelligence,clustering,data mining,expandable neural network,global sensing,Machine learning,neural network chip,neuron chip,neuronal processor,neurons,parallel neural network,pattern matching,pattern recognition chip,Restricted Coulomb Energy,smart sensors,super computing,trainable neural network

The CMEnK Module is a stackable module populated with one or two CM1K chips. An 80-pins hirose connector allows communicating with the chips through their parallel bus or serial I2C bus. Up to four modules can be stacked on top of each other thus expanding the size of the network by increments of 1024 or 2048 neurons, up to 8192.

 

DESCRIPTION
PRICE
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CogniMem CME1K Module
$175 per unit
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CogniMem CMEnK Module
$300 per unit
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PRODUCT FEATURES

 

  • 1 or 2 CogniMem chips (i.e. 1024 or 2048 neurons)
  • Simple RTL instructions (less than a dozen registers)
  • Parallel bus with data strobe and read/write lines, 5-bit register and 16-bit data lines
  • I2C serial bus (100 and 400 Kbits)
  • Digital input bus for use with the recognition stage built into the chip
  • 1 80-pin hirose connector for single or top-of-stack module
  • Two 80-pin hirose connectors for in-the-stack modules (symmetrically mounted on each side of the module)

This module is ideal to prototype hardware platform featuring an expandable CogniMem neural network, evaluate its powerful pattern learning and recognition capabilities, its speed performance and low power consumption. Typical applications include high-speed vector classification, anomaly and event detection. The input source can derive from images, video, signal, sound and more.