Sustainable Fungal Memristors for Neuromorphic and Eco-Friendly Computing
T2025-234
The Need
The rapid growth of artificial intelligence and neural networks is driving unprecedented demand for energy-efficient, scalable hardware. Conventional memristors require rare earths and complex fabrication, contributing to electronic waste and limiting accessibility. There is a critical need for sustainable, biodegradable alternatives that can be produced without reliance on semiconductor foundries, enabling broader adoption of neuromorphic computing in diverse environments.
The Technology
This technology leverages the adaptive electrical signaling of fungi to create fungal memristors—biodegradable memory devices that mimic neural functions. Fungal cultures are grown and trained using signal generators and electrodes, forming a robust, eco-friendly computing substrate. The system integrates embedded firmware with biochemistry, enabling sustainable neuromorphic chips that combine memory and processing in a single, biologically inspired platform.
Commercial Applications
• Energy-efficient neuromorphic chips for AI and robotics
• Biodegradable memory devices for IoT and edge computing
• Sustainable sensor networks for environmental monitoring
• Radiation-resistant electronics for aerospace and harsh environments
Benefits/Advantages
• Environmentally sustainable and biodegradable
• Lower power consumption and faster switching speeds
• Flexible, adaptive electrical properties
• Can be fabricated without rare earths or large-scale industrial facilities