The Optical Networking and Communication
Conference & Exhibition

Moscone Center,
San Francisco, California, USA

The Role of Machine Learning in Optical Systems and the Role of Optics in Machine Learning Systems


S. J. Ben Yoo, University of California, Davis, USA; Manya Ghobadi, MIT, USA


This symposium explores optics, machine learning, and AI techniques for next-generation data centers and networking systems, both in terms of leveraging ML techniques for optical systems (ML for optics) and optical technologies for ML workloads (optics for ML) and their impacts, and use cases. In this Symposium, large-scale network operators, ML/AI experts, virtualization researchers, and technology researchers will discuss (a) the role of machine learning and AI techniques to effectively control, manage, and plan next-generation data centers, high-performance clusters, and communication networks, and (b) the role of emerging optical technologies in enabling disaggregated ML systems, next-generation ML/AI architectures, application-driven reconfiguration,  neuromorphic computing. The Symposium will include a panel discussion on emerging photonic and photonic-electronic systems for efficiently and effectively accelerating ML training and inference workloads.  

Sponsored by: