Sensor-Based Neuromorphic Organic Processing Unit (OPU)

The project will focus on developing an energy-efficient and high-performing sensor-based neuromorphic Organic Processing Unit (OPU), an advanced computational system combining neuromorphic computing principles, organic materials, and sensor integration to deliver sustainable and high-performance data processing. Designed to emulate the functionality of biological neural networks, OPU utilises spiking neural networks (SNNs) for event-driven processing, drastically reducing energy consumption compared to traditional computing architectures. The operation of OPU begins with a sophisticated sensor array that captures diverse inputs, such as biological signals generated from human-derived iPSCs. These organic materials-based sensors are integrated to perform pre-processing, filtering noise, and normalising data to ensure only relevant information is transmitted to the processing unit. Its hardware leverages organic field-effect transistors (OFETs) and memristors, which enable flexible, lightweight, and environmentally friendly designs, making it ideal for applications in wearable technology, healthcare monitoring, and environmental systems. With biocompatible and scalable organic materials, the unit offers an innovative solution for integrating intelligent processing into modern devices while aligning with global sustainability goals.