GIS.FCU was invited by AIRC, AIST to participate the “Next-Generation Artificial Intelligence Evolving Together with Humans”International Symposium.

From left to right, GIS.FCU director Jimmy Chou, AIRC director Dr. Tsujii, AIRC deputy director Dr. Kim , GIS.FCU Dr. How.

From February 1st to 3rd, GIS.FCU director Jimmy Chou and Dr. How were invited by the Artificial Intelligence Research Center (AIRC) of the largest industrial research institute in Japan, the National Institute of Advanced Industrial Science and Technology (AIST), to attend an artificial intelligence symposium in Tokyo. In addition to learning about the research and development achievements of AIRC over the years, lots of discussions with international scholars who invited to the symposium regard to the future direction of AI technology and its impact on human society. Furthermore, GIS.FCU had constructive discussions with Dr. Kim, the deputy director of AIRC, on various international collaborations, including joint development of OGC international standard Moving Features, bilateral personnel exchanges, and AI research and development projects. After the pandemic situation improves and the border restrictions are lifted, we hope to rapidly expand our international relationships and collaborations.

There were over 30 sharing sessions and panel discussions, which were attended not only by experts from the academic and industrial sectors in Japan but also by experts in various fields of AI from other countries. During this visit, the GIS.FCU also took the opportunity to discuss new directions for collaboration with AIST, continuing the regular collaboration mode before the pandemic. The main areas of discussion included promoting the implementation of Moving Feature API technology developed by the OGC organization, writing the GeoAI Discussion Paper, exchanging technical personnel, and applying for bilateral projects from the National Science Council. GIS.FCU hopes to rapidly expand international relations and technical cooperation after the pandemic situation improves and borders reopen.

AIST AIRC International Symposium
AIRC researcher shared the application of Deep Learning to separate mixed environmental noise.

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