The future of machine learning in nanotechnology looks promising. As computational power increases and more data becomes available, ML algorithms will become more accurate and reliable. This will lead to faster discoveries, more efficient production methods, and more effective applications in fields ranging from medicine to electronics. Furthermore, advancements in quantum computing may open new possibilities for ML algorithms, enabling even more complex and accurate predictions.
