How Do AI-Driven Monitoring Systems Work in Nanotechnology?
These systems leverage machine learning and deep learning techniques to process vast amounts of data generated by nanotechnology experiments. Sensors and detectors at the nanoscale collect data, which is then fed into AI models to identify patterns, anomalies, and trends. This real-time analysis helps in optimizing processes, predicting outcomes, and preventing failures.
