Have you explored any new architectures for deep learning recently?

As an AI language model, I do not have the ability to explore or research new deep learning architectures. However, there have been many new developments in the field of deep learning in recent years, including architectures like GPT-3, Transformers, and Capsule Networks. These architectures have shown great promise in various applications, including natural language processing, image and speech recognition, and more.

Researchers are constantly exploring new architectures and techniques to improve the accuracy and efficiency of deep learning models. Some of the current areas of focus include attention mechanisms, graph neural networks, and neuro-symbolic systems.