Advancing a Global AI Research Ecosystem

ntegrating National Taiwan University’s strengths in AI research and talent to build an ecosystem defined by global competitiveness, local responsibility, and real-world impact.

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Mission Statement

Advancing AI research and cross-disciplinary applications, strengthening research foundations, and addressing industrial and societal needs.

  • Strengthen fundamental research capabilities and support long-term development
  • Accelerate industrial upgrading through AI innovation and adoption
  • Address societal challenges with impactful, public-interest AI research
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Development Vision

Enhancing Taiwan’s global presence and leadership in AI through high-quality research and meaningful innovation.

  • Expand AI applications across key sectors, including finance, manufacturing, healthcare, and sports science
  • Reinforce technological sovereignty and strengthen national competitiveness
  • Position Taiwan as a key hub for global AI collaboration
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News

Talk:Multimodal Data Lifecycles: Labeling, Selection, Mixing, and Synthesis

2026-03-02

Seminars & Talks

 Title: Multimodal Data Lifecycles: Labeling, Selection, Mixing, and Synthesis Speaker: Tzu-Heng Huang 黃子恒 When & where: 10:45-12:00 on Jan 15th, Thursday, at BL-101 Abstract: High-quality human-annotated data has fueled significant ML breakthroughs. However, as multimodal models scale, the demand for…

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The Center’s leadership team has successfully secured the hosting rights for the 17th Asian Conference on Machine Learning (ACML 2025) in Taiwan.

2025-12-19

Workshops & Conferences

The organizing committee includes prominent faculty members from the Center: ·       General Co-Chairs: Professor Shou-De Lin and Professor Hsuan-Tien Lin. ·       Program Chair: Professor Hung-yi Lee. ·       Journal Chair: Professor Chun-Yi…

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AI Center of Research Excellence：Strategic Mission and Research Framework

2025-10-29

News

The core mission of the Center is to cultivate an AI research ecosystem characterized by global competitiveness, local responsibility, and profound social impact. The Center’s research roadmap is structured around four primary strategic pillars: AI in Education: Advancing AI applications…

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Core Research Initiatives

AI for Education, Education for AI

 Advancing the integration of AI applications and the cultivation of ethical literacy within higher education.

Trustworthy and Explainable AI

Developing technologies that prioritize transparency, fairness, security, and accountability.

Next-generation AI Models and Infrastructure

Focusing on the advancement of large-scale models, “Green AI,” and computational optimization.

Multilingual and Cross-cultural Language Understanding

Emphasizing cultural sensitivity and localized context while facilitating international applications.

International Collaboration

Building strong partnerships with leading academic, research, and industry institutions worldwide
to advance AI research and real-world applications.

Academic Institutions

MIT、Stanford、Berkeley、ETH Zurich、Oxford

Research Institutes

 Max Planck Institute、RIKEN、INRIA

Industry Partners

NVIDIA、Google DeepMind、Meta AI、Microsoft Research、Amazon AI、OpenAI