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CogniMem Technology Ignites Neural Network Rethink |
| CogniMem is the unique merger and implementation of two reknown essential concepts: a powerful non-linear classifier and a natively parallel architecture. |
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| 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.
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| 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). |
| Technical summary |
Robust Well Known Classifiers K-NN (K Nearest Neighbor)
- Restricted Coulomb Energy (Radial Basis Function neural network)
- Built-in real-time learning capabilities
- Supervised and unsupervised learning
- Management of uncertainty domains
- Multiple networks and hopythesis generation
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Unmatched Performance Parallel architecture allows a recognition cycle independent from the knowledge size
- Parallel architecture allows daisy-chaining of the neurons, thus unlimited knowledge size
- Run hundred times faster than an equivalent software model (equiv. to 27 Gigo ops)
- Allows huge unstructured data mining configuration
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Practical and Affordable Small silicon chip (8 x 8 mm)
- Consumes around a 0.25 watt under 3.3 volts
- ASIC costs less than $30 in large volume
- Low-in count connectivity allowing the design of two-chip devices (Sensor plus Cognimem)
- IP licensing available
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