NeuroMem is a Unique Pattern-Recognition Technology
Learn on the chip thanks a build-in model generator identifying novelty autonomously and discarding duplicates
It's Real Time
Recognize patterns in micro-seconds regardless of the number of reference models stored in the neurons.
It's Energy Efficient
The NeuroMem neurons are capable of delivering 100,000 recognitions per second and within milliWatts
It's Available NOW
The NeuroMem neurons are available on ASICs, SOCs, and FPGAs and can be evaluated on a variety of platforms
Have a project based on Arduino/Genuino or Raspberry PI ?
Want to try neurons to recognize motion?
Want to teach neurons with the push of a button?
Learn real-time events?
Design IoT applications and smart non-connected appliances integrating autonomous pattern learning and recognition with 1024 silicon neurons. Easy to program through the Arduino IDE, Eclipse or else, the BrainCard can be interfaced to a wealth of sensors and actuators.
Develop applications which can learn and classify patterns at high speed whether they come from text, network packets, images, audio signal, biosensors, and more. The expandable network of 4096 silicon neurons can receive patterns from the USB port or directly from the reconfigurable on-board FPGA.