Digital Circuit

Digital circuit design is undergoing a transformation driven by the need for faster, more energy-efficient, and more easily designed circuits. Current research focuses on automating the design process using machine learning techniques, including graph neural networks, generative models, and large language models, to optimize circuit architectures and generate HDL code. These advancements are improving the efficiency of high-level synthesis and enabling the creation of specialized circuits for applications like quantum computing and neuromorphic computing, impacting fields ranging from AI to materials science.