Why is Supervised Learning Important in Nanotechnology?
Nanotechnology involves manipulating matter at atomic and molecular scales, where traditional experimental methods can be both time-consuming and costly. Supervised learning algorithms can significantly accelerate research by predicting outcomes based on existing data. For example, these algorithms can help in the design of nanoparticles with specific properties, such as targeted drug delivery systems or improved catalytic functions.
