👉 Plastic computing, also known as neuromorphic computing or brain-inspired computing, is a paradigm that seeks to mimic the structure and function of the human brain in artificial systems. Unlike traditional computing, which relies on rigid binary logic and sequential processing, plastic computing utilizes flexible, adaptive materials that can emulate the dynamic, parallel, and energy-efficient nature of biological neural networks. These systems often employ materials like memristors—resistive switches that can store and process information simultaneously—along with other organic or soft materials to create circuits that learn, adapt, and operate in real-time, much like the brain. This approach promises significant advancements in areas such as artificial intelligence, robotics, and sensor technology, offering the potential for more efficient, robust, and versatile computing solutions that can handle complex tasks with lower power consumption.