Neuromorphic Computing

We are to develop a neuromorphic chip technology with RRAM-based multi-level synaptic weights having 10x efficiency in energy and 10x improvement in density over conventional neuromorphic memory (e.g., SRAM-DRAM) enabling low-power neuromorphic computing system.

With the ultra-low power, yet good pattern classification or recognition capability, we hoped to explore application possibilities that include robotics, unmanned IOT sensors or security sensors able to operate over a long duration, wearable devices for healthcare etc.

I2R’s involvement include:

On-chip learning and software realization

System integration and application development