The CM1K neuromorphic chip can be integrated into electronic designs as a single neural network chip interfaced to an MPU or FPGA, or it can be linked in a chain of CM1K chips defining a larger neural network and yet seen as a single component.
Our evaluation boards illustrates these architectures and are suitable for a variety of aplications including trainable IOT appliances, industrial and surveillance cameras, smart DVRs, data analytics acceleretor, etc. Also the NeuroMem API is amazingly simple.
Unleash the neurons of the Arduino/Genuino101 board
Using our CurieNeurons library, you can gain full access to the 128 NeuroMem neurons of the Intel Quark SE and take advantage of the Arduino eco-system to learn and recognize patterns and signals of your choice. These neurons behave exactly like the neurons of the CM1K chip with the exception that they can only process patterns of 128 bytes instead of 256 bytes.
Scalable Pattern Recognition Accelerator, easy to connect via USB
NeuroStack is a pattern learning and recognition accelerator featuring a network of 4 CM1K neurons (4096) which can be expanded by stacking additional NeuroStack boards. Typical applications include text, data and image analytics. Patterns can be learned and classified at high speed whether they come from text, network packets, images, audio signal, biosensors, and more. The on-board Field Programmable Gate Array can be reconfigured to execute specific recognition engines.
The artificial intelligence shield for Arduino and Raspberry PI
Use your Arduino shields to collect audio, video and other signals and the CM1K neurons to learn relevant signatures and give you instantaneous responses to ring alarms, activate relays, control a motor and more.
Turn your Raspberry PI into a smart camera or data analytics device with the BrainCard. Teach the neurons to recognize objects while discarding false alarms. Detect people or events and transfer and record data only when something of interest occurs.