CENTRA 8 - Taiwan

• Name badge and swag pick-up.
• Laptop charging.
• General questions.

COVID-19 Protocol
While we hope that everyone arrives healthy and without incident, we know many have traversed long distances in confined spaces and life can be unpredictable. If you find yourself feeling ill (or having tested positive for COVID-19), please opt to self-quarantine and alert a member of the organizing committee at pti.iu.edu so we may assist with any necessary arrangements.

Please be respectful of those who choose to social distancing and wear masks.

- Jose Fortes, CENTRA Steering Committee, Chair
Thank the organizer
- Chau-Lyan Chang, National Center for High-performance Computing, Director General
welcom to NCHC and the CENTRA8 meeting. introduce Dr. Hung-Yin Tsai, National Research Laboratories, President
- Hung-Yin Tsai, National Research Laboratories, President
opening remark

This keynote provides a comprehensive overview of our work in advancing speech AI and large language models tailored for Taiwan's national languages. We chronicle our journey—from initial data collection and model training to the successful deployment of real-world applications—while examining both our methodologies and the challenges that persist. Looking ahead, the presentation highlights promising future directions for collaboration, including initiatives for endangered language revitalization, the evolution of AI-assisted language learning, and the integration of robotics to enable interactive applications. These efforts are complemented by broader cross-disciplinary partnerships, all aimed at preserving and celebrating not only Taiwan's unique linguistic heritage but also the broader spectrum of humanity's rich linguistic and cultural legacy.

10 minutes per presenter:

• Composable Serverless Workflows for Cross-Platform FaaS Deployments: Middleware and Applications - Renato Figueiredo, Professor, OSU, United States
• Federated Learning-Enabled Victim Identification for International Disaster Response in the Asia-Pacific Region - Yuta Seino, Researcher, U. of Osaka Dental Hospital, Japan
• Treatment Recommendation in Critical Care: A Personalised and Scalable Approach to Improve Patient Outcome - Ummi Azizah Rachmawati, Professor, Universitas YARSI, Indonesia
• Enhancing Resource Efficiency in Cloud-Edge Continuum Computing with Checkpoint and Restore in Kubernetes - Junya Yamamoto, U. of Osaka, Japan
• Collaborative mechanisms for distributed training and inferencing of foundation models - Truong Thao Nguyen, Researcher, AIST, Japan
• Reconfigurable Advanced Platform for Transdisciplinary Open Research - Jason Liu, Professor, FIU, United States
• Information-Oriented Multi-Agent Systems - Michael Elliott, UF, United States
• Performance and Sustainability Management in Modern Data Centers – Ricardo Macedo, INESC TEC, Portugal

Please feel free to use this Google Doc to take notes of your group's discussion.

For new projects developed during CENTRA 8’s Project Group Discussions, project leads will be asked to complete and submit a Project Description Form.
For updates to CENTRA Projects listed on CENTRA’s website, project leads are welcome to use the form.

Chair: Weicheng Huang | ~15 minutes for each presenter (including Q/A)

• Empowering Tomorrow: The Next Generation of HPC and AI – Steven Shaiu, Deputy Director, NCHC, Taiwan
• KISTI Supercomputers and Research Network – Woojin Seok, Principal Researcher, KISTI, Korea
• ABCI3.0 – Jason Haga, Senior Researcher, AIST, Japan
• Quantum Computing at AIST - Ryousei Takanp

Weicheng Huang, Chair | ~15 minutes for each presenter (including Q/A)

• Efficient and Secure Data Management for HPC and Cloud Computing - Cláudia Brito, INESC TEC, Portugal
• AI in the Commercial Cloud: Early Experiences from the NAIRR Pilot – Shava Smallen, co-Chair, PRAGMA
• Comprehensive Large Language Model Development Plan in Taiwan – Po-Hao Hsu, Researcher, NCHC, Taiwan
• Research Partnership: Introduction of Korea-Japan-China Cooperation Projects – Jeonghoon Moon, KISTI, Korea (online presentation)

There is a growing global awareness of the impact that could be created by cross-fertilizing applied research projects likely to have large potential community impacts. Instead of research groups competing to be the first to publish a scientific or technical innovation, a collaborative wholistic approach is designed to bring multiple synergistic intelligences to bear on real-life difficult problems. The success of this process is not guaranteed, but apears to be enhanced when scientists, practitioners, and beneficiaries involved have varied backrounds, assumptions, and areas of expertise. This type of process is being encouraged in the United States by the National Science Foundation's new Technology, Innovation, and Partnerships Directorate, and is having impacts throughout the other NSF directorates. International collaborations should, by this reasoning, be especially beneficial because additional viewpoints are encouraged by varying languague, culture, training, expectation, and experience. Some nascent positive directions include (a) formal, supported participation by potential beneficiaries; (b) place-based collaborative innovation with community commitment; (c) early identification and focus on the most intractable portions of the task; (d) a willingness to pursue and adopt multiple potential solutions simultaneously; and (e) a strong and evolving sense of priority, urgency, and collaboration. It seems highly unlikely that the US NSF has a monopoly on this shift to more collaborative and applied research on pressing societal issues. What can CENTRA members contribute to this vitalily important international discussion?