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March 22, 2024

"AI-Smart": ML on FPGA school

WPI-QUP co-organized a workshop, "AI-Smart: ML on FPGA school" with “AI-Smart”. AI-Smart is a JSPS Core-to-Core Program (Advanced Research Networks) “Formation of International Collaboration Center for AI-Smart in High Energy Physics” funded since April 2023 with a QUP principal investigator, Yu Nakahama, as the coordinator. The workshop was the course of three days on February 28th to March 1st, 2024.

The "ML on FPGA school" aims to acquire basic knowledge for implementing analysis methods using artificial intelligence/machine learning on advanced technologies, such as accelerators implemented on FPGAs. With the cooperation of Kumamoto University, Nagasaki University of Advanced Science and Technology and Saga University, the school focused on actual face-to-face learning and discussion.

Thirty-five participants from various experiments on particle and nuclear physics came together for the event that included lectures and practical training on "machine learning," "FPGA implementation using high-level synthesis," and "FPGA implementation of machine learning," respectively from experts specializing in computing, electronics, and elementary particle experiments. The first day included a tour of the immaculate clean room at the Kumamoto University Semiconductor and Digital Research and Education Organization. An exchange meeting was held between the participants and the lecturers, where a discourse of opinions on technical issues and development in trends in more advanced implementation on the second day.

Related link:
"AI-Smart" : ML on FPGA school
https://kds.kek.jp/event/49216

JSPS Core-to-Core Program
https://www.jsps.go.jp/english/e-c2c/index.html

“AI-Smart” Kick-off workshop
https://www2.kek.jp/qup/en/news/detail20231004.html

Figure 1. "AI-Smart": ML on FPGA school group photo

Figure 2. Practical training

Figure 3. A tour of the clean room at Kumamoto University's
Semiconductor and Digital Research Organization

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