cognimem logo, hardwired parallel architecture, scalable, low power, decision space mapping, CogniBlox, CBX, 4K neurons, data mining, analytics, cognitive memory, sensor input, 4 CM1K's, 4096 cognitive memories, CM1K, 1K Neuron Chip, CM1K speed, High-speed pattern recognition, parallel architecture, non-linear classifier, CogniMem Architecture, CPU, HPC architecture, DSP, storage, 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
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Related Products

  • CME2K - CogniMem module with hirose
    plug-in connector.
  • CM1K - CogniMem chip.
  • CogniBlox - CogniMem Multi-media high-end reconfigurable pattern recognition engine.
  • Other resources

Related References

  • Tad Story video showing CogniMem
    connected to a CMOS sensor and
    assembled in a toy to recognize cue cards.
  • Face recognition using the ZISC chip
    (ancestor of CM1K).
  • Stereoscopic tracking video showing 2 V1KU
    evaluating the distance of an incoming object.

With a wide range of new handheld appliances being offered to the consumer, new user interfaces and behavioral monitoring are on the rise. CogniMem technology offers low power pattern recognition processing that meet the very demanding cost,  battery life and real time performance requirements of these new products

  • Gesture recognition for hands off control and additional command interface

  • Gaze tracking- for turning on/ off backlights or expanding a focus field of view

  • Command recognition- voice commands that are locally processed versus server based

  • Face detection and recognition- low power turn on of an appliance when proper user is present

  • Finger print recognition – where 1/large N fingerprints can be compared and contrasted quickly

  • Behavioral observation and tuning- from remotes to personalizing handhelds based on multiple sensor input, appliances can detect user and usage patterns

Related CogniMem Technologies

face recognition, cognimem face recognition, facial recognition, cognimem facial recognition, 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
car recognition, cognimem car identifier, vehicle recognition, cognimem vehicle recognition, 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
weather classifier, weather classification, cognimem weather classification, weather recognition, cognimem weather identifier, weather recognition, cognimem weather recognition, 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
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