The Intelligent Photonics Group studies optoelectronics technologies for applications in high-performance computing and intelligent information processing. We leverage concepts from different fields, e.g., silicon photonics and nanophotonics, material engineering, and electronics, and merge them to solve the grand challenges.

One of our current research aims to build faster and more efficient hardware for artificial intelligent (AI) computing using photonics, i.e., photonic neural networks (PNNs). PNNs can offer sub-nanosecond latencies and high bandwidth with low energies to extend the domain of AI applications to where conventional technologies are not accessible. Our research pursues a wide range of applications ranging from intelligent sensing and imaging, communications, cybersecurity, and many more.

Please check our recent review paper discussing the prospects and demonstrated applications of PNNs. 

Our invited talk at OFC 2021 explained what PNN is, why PNN is powerful, and provide an example of how to use PNN to solve problems (e.g., signal processing problems in optical communications).