What Challenges Exist in Combining AI with Nanotechnology?
Despite the promising potential, several challenges exist in integrating AI with nanotechnology. These include:
Data Quality: High-quality, large datasets are required for training AI models, which can be difficult to obtain in nanotechnology research. Computational Resources: The simulation and modeling of nanoscale phenomena require significant computational power. Interdisciplinary Collaboration: Effective integration of AI and nanotechnology demands collaboration across various scientific disciplines, which can be logistically complex.
