Wafer Scale

Wafer-scale computing involves integrating thousands of processors onto a single silicon wafer, enabling unprecedented computational power for tackling complex problems. Current research focuses on optimizing wafer-scale architectures for large-scale machine learning tasks, including deep neural network training and evolutionary algorithms like genetic algorithms and agent-based models. This technology significantly accelerates simulations and computations in fields like artificial intelligence and neuroscience, offering substantial improvements in speed and efficiency compared to traditional computing systems. The resulting advancements are driving progress in diverse areas, from drug discovery to materials science.