Machine Learning (ML) algorithms are increasingly being integrated with nanotechnology software. ML can analyze vast amounts of data far quicker than traditional methods, identifying patterns and predicting material properties. This synergy speeds up the discovery process and enhances the accuracy of simulations, making it easier to develop innovative solutions in areas like nanomedicine and materials science.
