What Challenges Exist in Integrating ANNs with Nanotechnology?
1. Data Quality: High-quality data is essential for training ANNs. In nanotechnology, data can often be noisy or incomplete, affecting the performance of the neural network. 2. Computational Resources: Training complex ANNs requires substantial computational power and memory, which can be a limiting factor. 3. Interdisciplinary Knowledge: Effective integration of ANNs and nanotechnology requires expertise in both fields, which can be challenging to acquire.
