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Cognitive Computing CogniMem

CogniMem News

CogniMem Announces Price Reduction for CogniBlox with Express SDK



CogniBlox is a stackable 4096 neuron board delivering unparalleled performance while exponentially reducing power consumption. The current price for the CogniBlox express SDK version is now only $1,500! Take your systems to the next level, Go CogniMem.

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CogniMem wins the
"New Product Innovation Award"


Frost & Sullivan is proud to present the 2012 North American New Product Innovation Award in the Cognitive Computing Processors for Pattern Recognition market to CogniMem Technologies Inc...

Read the full report...



CogniMem products are now available
at Digi-Key!

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CogniMem announces new CM1K prototyping module for ease of board development: CM1K-PGA69



See article describing superiority of CogniMem hardware based RBF classifier in performance and accuracy over S/W alone based approaches for Face Recognition!

“A Hardware/Software Co-design Model for Face Recognition using Cognimem Neural Network chip”
By Santu Sardar, Gaurav Tewari, K.A. Babu DRDO; Hyderabad, India



“Target Tracking with the Zero Instruction Set Computer”
Evaluation of the Computational Capacity of the ZISC in Target Tracking By Wendall C. Deck




Massively Parallel Accelerator for Pattern Recognition

When pattern recognition is the problem – CogniMem’s Cognitive Computing chips are the answer. CogniMem is leading the industry with Cognitive Sensing & Computing - going beyond Von Neumann computer architecture to deliver unmatched levels of processing at far less energy.


Intelligence for Sensing

CogniMem enables trainable adaptive filtering for vision, speech and other sensing devices while reducing cost and energy.


Intelligence for Data Mining

CogniMem enables a flexible and scalable architecture natively implementing well-known non-linear classifiers Radial Basis Functions and K-Nearest Neighbor. Latency of the recognition stays fixed independent of the amount of memories being searched at very low power.


  • Trainable: automatic model generator
  • Reliable: re-known pattern classifier
  • Ease of Use: software tools and SDK
  • High Speed: board and chipsets
  • Low Power: board and chipsets
  • Object Recognition
  • Target Tracking
  • Signal Classification
  • Data Classification, Clustering
  • Anomaly / Novelty Detection
  • Template Matching

 

CogniMem for "Cognitive Memory"