Machine learning is a cornerstone of data-driven insights in nanotechnology. Algorithms can process and analyze vast amounts of data to identify patterns and correlations that are not immediately apparent. For example, machine learning models can predict the optical properties of nanoparticles based on their size, shape, and composition, which is invaluable for applications in biomedical imaging and drug delivery.
