Biologically inspired computing

Biologically inspired computing involves designing computer systems and algorithms modeled after natural biological processes, such as the way brains work or how animals adapt. This approach draws inspiration from nature’s efficiency, resilience, and learning abilities to develop smarter, more flexible technologies. Examples include neural networks that mimic brain connections for tasks like image recognition, or genetic algorithms inspired by evolution to optimize solutions. By studying biological systems, researchers create innovative computing methods that can handle complex, real-world problems more effectively than traditional techniques.