Current computing systems are facing significant challenges including extremely high energy demand, tremendous consumption of nonrenewable materials, environmental and health issues by electronic waste, and lack of technologies to improve system performance by integration of complementary metal oxide semiconductor (CMOS) microchips with emerging device technologies (denoted X) – “CMOS+X”. This project will address these challenges by exploring an innovative technology to integrate CMOS periphery circuits with a novel memory technology - natural organic honey based resistive switching random access memory (honey-ReRAM) for a new brain-inspired neuromorphic computing system. The prototyped “CMOS + honey-ReRAM” computing system is promising to promote high performance, energy efficient, and sustainable in-memory computing capability for many high impact domains such as engineering, social science, national health, and defense. In addition, the proposed education activities offer unique training opportunities for underrepresented researchers including female, African American, and Native American students. This project targets to explore innovations in device fabrication and system integration technologies to optimize honey-ReRAM devices, establish the feasibility of 3D integration of CMOS circuits with honey-ReRAM arrays, and prototype a CMOS + honey-ReRAM enabled neuromorphic accelerator, an essential neural network hardware component for data processing in a vast range of d