Architecture Cell

Research on "architecture cells" focuses on optimizing the design and functionality of fundamental building blocks within larger systems, ranging from neural networks to biological tissues. Current efforts involve automated search algorithms to discover efficient network architectures for tasks like image processing and analyzing spatial cell arrangements in biological samples using graph-based methods and deep learning. These investigations aim to improve the performance and efficiency of artificial systems and provide deeper insights into complex biological processes, ultimately impacting fields like computer vision, medical diagnostics, and neuromorphic computing.