What Are the Challenges of Integrating ML in Nanotechnology?
Despite its potential, integrating ML in nanotechnology poses several challenges. One major challenge is the availability of high-quality, labeled data necessary for training ML models. Additionally, the complexity of nanoscale phenomena can make it difficult to develop accurate predictive models. There is also a need for interdisciplinary collaboration between nanotechnologists and data scientists.
