Electrical Properties of Proteinoids for Unconventional Computing Architectures

What is it about?

The paper "Electrical Properties of Proteinoids for Unconventional Computing Architecture" investigates the distinct electrical properties of proteinoids, which are peptide-like molecules produced by amino acids in early Earth-like environments. These proteinoids are known to feature voltage-gated ion channels, electrical switching capabilities, and the ability to modulate conductivity. This makes them extremely promising as crucial building components for unconventional computer systems modelled after biological systems. The project entails synthesising several proteinoids and analysing their electrical characteristics using impedance measurements. We developed computer logic gates by combining proteinoids and electrodes. We have developed proteinoid neural networks that can learn and recognise patterns by altering the conductivity of the proteinoids during training. Furthermore, the study shows that a mixture of proteinoids possesses basic learning and memory capacities. These discoveries demonstrate the adaptability of proteinoids microspheres for novel and unconventional computing systems. By harnessing proteinoids' unique electrical properties and self-assembly properties, it is possible to create environmentally friendly and sustainable computing systems that imitate human brain function or promote evolutionary computation. The ultimate goal is to improve the complexity and performance of proteinoid computing systems for use in real-world applications in the future.

Featured Image

Photo by Walkator on Unsplash

Photo by Walkator on Unsplash

Why is it important?

Exploring proteinoids' electrical characteristics for unconventional computing architecture is essential for various reasons. Proteinoids, made from amino acids, are life's building components. Proteinoids' electrical properties can reveal biomolecules' fundamental properties and how they interact with electrical impulses. Developing unconventional computing architectures requires understanding proteinoids' electrical characteristics. The energy efficiency and scalability of binary logic and silicon-based computing systems are limited. We may use proteinoids' unique electrical properties to develop energy-efficient, adaptable, and biologically inspired computing systems that can execute sophisticated computations. Proteinoid-based computing systems may also be eco-friendly. Proteinoids, made from amino acids from organic materials, are an alternative to limited and non-renewable computer components. Proteinoids can lessen computing's environmental impact and help create a sustainable future. Additionally, proteinoid computing systems provide novel applications in biological intelligence, pattern recognition, and memory storage. The ability of proteinoids to learn and adapt by altering their conductivity is a step towards constructing brain-like computer systems. This can improve cognitive computing, machine learning, and intelligent systems. In conclusion, studying proteinoids' electrical properties for unconventional computing architecture helps develop energy-efficient and flexible computing systems, supports environmental sustainability, and opens the door to new biological applications. It offers a viable path for computing technology and information processing innovation.