Summary
Modern artificial intelligence (AI) and data-intensive applications, from language models to scientific simulations, demand ever-growing computational capability. Yet, conventional electronic-based computing systems face a critical bottleneck: the energy and time required to move data between processors and memory now exceed the costs of performing the calculations themselves. This imbalance has slowed progress in AI and deep learning, while contributing to rising energy demands. This project explores a transformative computing paradigm grounded in photonic-based, in contrast to the convention
