What Are the Challenges of Integrating ML with Nanotechnology?
Despite its potential, integrating machine learning with nanotechnology presents several challenges. One major issue is the availability and quality of data. Nanotechnology experiments often produce complex, high-dimensional data that can be difficult to interpret. Additionally, ML models require large datasets to train effectively, which may not always be available. Another challenge is the need for interdisciplinary expertise, as successful integration requires knowledge in both fields.
