Building Block

"Building block" research spans diverse fields, focusing on identifying and optimizing fundamental components for improved efficiency and performance in complex systems. Current efforts concentrate on developing modular and adaptable building blocks, including neural network architectures like transformers and GRUs, for applications ranging from AI and machine learning to materials science and data structures. This research aims to enhance the design, scalability, and explainability of sophisticated systems by focusing on the optimization of their constituent parts, leading to advancements in areas like large language models, federated computing, and materials discovery.