ACCESS Hosts Delegation from KAIST and Science Tokyo

2024-12-17

ACCESS is committed to training outstanding research talents through various avenues to meet the rapidly growing demand for research and higher education professionals in the AI chip industry. This includes regular exchanges on research and development projects with top scholars and graduate students from world-renowned universities. On 6 Dec 2024, ACCESS was honoured to host a delegation of professors, postdoctoral researchers, PhD candidates, and master's students from the Korea Advanced Institute of Science and Technology (KAIST) and the Institute of Science Tokyo (Science Tokyo).

The delegation included Prof. Hoi-Jun YOO from KAIST and Prof. Daichi FUJIKI from Science Tokyo. Prof. YOO, who obtained his Ph.D. from KAIST in 1998, specializes in AI, machine learning, and low-power integrated circuit design. He leads the Semiconductor System Laboratory and is recognized for his significant contributions to biomedical engineering and computer vision, including innovative work on a 320mW real-time object recognition processor and a sub-10nA adaptive stimulator IC. Prof. FUJIKI, an Associate Professor in the AI Computing Research Unit at the Institute of Science Tokyo, brings a wealth of knowledge with a Ph.D. from the University of Michigan and a bachelor’s degree from Keio University. During their visit to ACCESS, the two professors not only discussed future collaboration directions but also shared their extensive research experience and knowledge with the center's research team.

The visit started with a warm welcome and an introduction to the workshop by Dr. Luhong LIANG, Executive Director of ACCESS. Dr. Lin LI, a postdoctoral researcher at ACCESS, then presented the "AI-Based Wellness Analysis System for Elderly Care Centers" developed by the center. Following that, Dr. Yu LIU, a senior researcher at ACCESS, engaged with the delegation on the topic of "Exploring Compiler-in-the-loop for AI Algorithm and Accelerator Co-design." The delegation showed strong interest in all the research topics discussed.

Subsequently, the ACCESS research team led the delegation on a tour of the laboratory, showcasing the center's achievements in areas such as AI healthcare, Co-design toolchains, AC-transformers etc. The students closely observed the design and operation of AI chips, actively asking questions about related projects, creating a lively discussion atmosphere.

This visit embodies ACCESS's ongoing commitments in providing platform for multi-disciplinary and diverse exchanges with top scholars and their research teams on the latest AI & chip design technologies. And ACCESS is committed to become a world-leading multidisciplinary innovation center for AI chips and systems, establishing design technologies for novel data-centric computing paradigms, and to elevate Hong Kong’s position as a major player on the world stage in AI chip and system design.

The delegation from the KAIST and Science Tokyo took photos in front of the iconic landmark “Charles K. Kao Auditorium” of Hong Kong Science Park.
The delegation from the KAIST and Science Tokyo took photos in front of the iconic landmark “Charles K. Kao Auditorium” of Hong Kong Science Park.
The Executive Director, Dr. Luhong Liang, introduces to the delegation about ACCESS and its research areas
The Executive Director, Dr. Luhong Liang, introduces to the delegation about ACCESS and its research areas.
Prof. Daichi FUJIKI from Science Tokyo shared his views on the research project introduced by Dr. Yu LIU after his presentation.
Prof. Daichi FUJIKI from Science Tokyo shared his views on the research project introduced by Dr. Yu LIU after his presentation.
Prof. Hoi-Jun YOO and ACCESS researchers
While visiting the ACCESS Laboratory, Prof. Hoi-Jun YOO and ACCESS researchers/ engineers engaged in in-depth discussions. Prof. YOO has provided invaluable advice on the research demonstrations.
The delegation from the KAIST and Science Tokyo
The delegation shows great interest in ACCESS’ AI technology “Real-time Cardiac Image Segmentation in Ultrasound Imaging” System.