1. Explore - How AI Understands Biology?
1.3 Learning from Nature: Bio-Inspiration and Artificial Intelligence
Interestingly, many AI systems are themselves inspired by biology. This approach is known as bio-inspiration, where natural processes serve as models for technological solutions.
Examples include:
- Artificial neural networks, inspired by the structure and functioning of neurons in the human brain.
- Evolutionary algorithms, which mimic natural selection by progressively improving solutions through variation and selection.
- Self-organizing systems, modeled after biological systems that adapt to changing environments.
These bio-inspired approaches allow AI systems to:
- Learn from errors.
- Adapt to new biological data, e.g., generating novel molecules for drug design.
- Improve performance over time.
Bio-inspiration creates a strong conceptual bridge between biology, artificial intelligence, and engineering, reinforcing the interdisciplinary nature of modern STEM education.