CogniMem is the unique merger and implementation of two reknown essential concepts: a powerful non-linear classifier and a natively parallel architecture. |
 |
With the increasing demand for sensory computing (computer perception) and pattern recognition (data mining) in domains such as the industry, defense, security and condition monitoring (human or machine), CogniMem brings a practical solution without the existing limitations of software neural networks such as their speed performance and programming bottleneck. |
CogniMem allows a quantum leap in two large domains: |
|
Smart sensors with embedded pattern recognition capabilities, thus notifying or tranmitting |
| |
the data or events of interest only. Possible real-time learning. |
|
High-speed data mining and unstructured data base search with the ability to match of one |
|
data set versus any number in a few microseconds. |
CogniMem is the convergence between a natively parallel architecture and a highly non-linear classification technology. Its implementation is silicon was made possible by the advances in semiconductor technology (0.13 micron and under). |