👉 Computing inspired by nature, often referred to as biomimicry or bio-inspired computing, draws its principles from the intricate designs and efficient processes found in biological systems. This approach leverages the evolutionary optimizations seen in living organisms to solve complex computational problems, leading to innovations like neural networks modeled after the human brain, genetic algorithms mimicking natural selection, and swarm intelligence inspired by the collective behavior of social insects. By emulating nature's strategies for energy efficiency, adaptability, and problem-solving, computing systems can achieve enhanced performance, robustness, and sustainability, mirroring the elegance and efficiency of natural processes.
