The future of regular monitoring in nanotechnology is likely to be shaped by several emerging trends:
1. Integration of AI and Machine Learning: The use of Artificial Intelligence (AI) and Machine Learning (ML) can enhance data analysis and predictive capabilities. 2. Real-Time Monitoring: Development of real-time monitoring tools can provide immediate feedback and enhance control over nanotechnology processes. 3. Portable Devices: The advent of portable and miniaturized monitoring devices can facilitate on-site monitoring and reduce dependency on large, stationary instruments. 4. Sustainable Practices: Emphasis on sustainable nanotechnology will drive the development of eco-friendly monitoring methods.
