The following seminar will be held.
Date and Time: November 7, 2025 (Fri.) 16:00-17:00
Venue:340, Building 1, Faculty of Science, The University of Tokyo
Speaker: Myoung-Gyun Suh (Group Leader / Senior Scientist, Physics & Informatics Laboratories, NTT)
Title: Comb-based hyperspectral information processing and Artificial Intelligence
Enhancing information processing throughput is one of the primary goals in the development of optical information processing systems. Comb-based parallel information processing offers a promising approach to achieving high throughput, particularly when combined with 2D spatial multiplexing. In this talk, I will present our latest work on hyperspectral information processing using optical frequency combs that fully leverage the inherent optical parallelism of the frequency and 2D spatial domains. Such high-throughput systems could significantly benefit high-performance computing in Artificial Intelligence (AI) data centers and become exceptionally powerful in certain applications when integrated with AI-enabled advanced algorithms. First, I will introduce a hyperspectral compute-in-memory architecture that enables high-throughput, single-shot matrix-matrix multiplication designed for future AI data center infrastructure. Second, I will present hyperspectral dual-comb compressive imaging using zero-dimensional optical front-end hardware (a single-core fiber and a single-pixel detector), enhanced by an AI-enabled image reconstruction algorithm.
Language: English
Host Professor: Takuro Ideguchi
Contact: seminar-office@utripl.u-tokyo.ac.jp
Note:
Please complete your registration through the Google Form below.
https://forms.gle/5sjKGytCyphqDPyE9
The Zoom link will be sent to your registered email address prior to the event.
This seminar is open to the public. Participants are kindly requested to provide their name, affiliation, and email address upon registration.