This innovation allows the model to synthesize images without changing the hardware architecture; it merely needs to reconstruct the diffraction decoder to a new optimized ... which are widely used ...

In this letter, we propose a deep learning-based iterative residual encoder-decoder method (IRED), which provides an efficient deep learning framework for electromagnetic modeling over a broad ...

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...