ML: Bio-inspired Learning

Bio-inspired Learning explores computational models and algorithms inspired by biological systems, such as neural networks, evolution, and swarm intelligence. This approach aims to create efficient, adaptable, and intelligent systems by mimicking the problem-solving strategies of nature, advancing fields like AI, robotics, and optimization.