eFPGA for feature extraction
Neurons for AI computing
Data analytics SW for data training and model/classifier building
Scaling across bigger AI systems with thousands of endpoint devices
No need for in-house expertise of data analytics, DSP processing, app coding
Delivers an AI module solution that can be deployed at the endpoint devices with different connectivity, sensor
General Vision – The NeuroMem neural network IP enables on-chip exact and fuzzy pattern matching and learning using a scalable parallel architecture of Radial Basis Function neurons.
Nepes – The NM500 implements the NeuroMem technology in an energy efficient, small form factor component. It can be trained in the field to recognize patterns in real time, and multiple devices can be chained to provide any number of neurons. The Knowledge Studio software tool can be used to configure and train the neurons in the NM500 device.
SensiML – The analytics toolkit quickly and easily trains the data, builds the module & classifier and programs the EOS S3 for endpoint AI.
QuickLogic– The EOS™ S3 voice and sensor processing platform make it the ideal host SoC for the NM500. It can implement an interface for the NM500, sample the IoT sensor data, and extract features using its embedded FPGA technology.