- Develop generic pattern recognition on a chip, never forgetting that practicality is the essence with increase of speed performance, and decrease in size, power consumption and cost.
- Build a library of IP cores suitable for integration into chips targeting miniature sensory devices as well as massively parallel computing systems.
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CogniMem Technologies is a fabless semi-conductor company designing components for high speed and parallel pattern recognition. Its research and design efforts target two extreme usage models:
(1) Embed intelligence into miniature sensory devices without impeding their performance in speed and power consumption , and
(2) Enable the design of cognitive computing systems in which massive hard-wired parallelism prevails over high power consumption and frequency clocks, just like in the human brain.
These two axis of development will bridge in “TheCloud” connecting devices instrumenting the planet to artificial intelligent systems, thus performing the so-called “global sensing”.