AI algorithms can automate and optimize experimental procedures in nanotechnology. For example, robotic systems controlled by AI can conduct high-throughput experiments, systematically varying conditions to identify the most effective protocols for material synthesis or modification. Additionally, AI can analyze experimental data in real-time, providing immediate feedback and adjustments to the experimental setup, enhancing precision and efficiency.
