What are the Future Trends in Laboratory Automation for Nanotechnology?
The future of laboratory automation in nanotechnology looks promising with advancements in:
- Artificial Intelligence (AI): Enhances data analysis and predictive modeling. - Machine Learning (ML): Improves automation systems' ability to learn and adapt. - Internet of Things (IoT): Facilitates seamless connectivity and real-time monitoring of automated systems. - 3D Printing: Enables rapid prototyping of nano-devices and components.