What are the Challenges in Implementing AI-Driven Control Systems?
Despite their potential, several challenges exist:
- Data Quality and Quantity: Training effective AI models requires large amounts of high-quality data, which can be difficult to obtain at the nanoscale. - Complexity of Nanoscale Interactions: The behavior of materials at the nanoscale can be highly complex and less predictable, posing a challenge for AI models. - Integration with Existing Systems: Integrating AI-driven control systems with existing nanotechnology infrastructure can be technically challenging and resource-intensive.
