Establishment Objectives

Four objectives that define why we exist.

Establishing a university-level Advanced Research Center for Cross-Disciplinary AI is, in essence, a revolutionary innovation in the academic research system: building a self-evolving, highly adaptive R&D environment across four dimensions: technology, disciplinary fusion, resource sharing, and social responsibility.

Objective 01

Frontier cross-domain research & technical innovation

AI has moved from pure algorithm research (AI Core) toward deep fusion with applications (AI Application). The center goes beyond commercial AI tools to develop autonomous, forward-looking foundational technology.

Drive cross-domain transformation

Help law, business, public affairs, social science, humanities, sustainability, and ECE disciplines adopt AI tools for research transformation.

Solve societal pain points

Provide AI solutions for law, an aging society, net-zero emissions, and smart manufacturing.

Deepen core technology

Research machine learning, LLMs, generative AI, agentic AI, and physical AI as frontier technologies.

Explainable & Green AI

Build XAI frameworks for high-stakes domains, and lightweight, low-energy models and edge computing for democratized, sustainable AI.

Objective 02

Cultivating cross-domain talent with an "AI gene"

The center is not only a research base but also an education laboratory. Cultivating an "AI gene" emphasizes the organic combination of technical depth and disciplinary breadth; the goal is pervasive "AI thinking," not turning every student into an engineer.

AI literacy for all

Strengthen AI reading and prompt-engineering for every non-CS student, so AI becomes a "co-pilot" in their field.

AI4X applied specialists

Cross-college micro-programs that train bilingual experts fluent in both domain knowledge and AI technology.

Frontier R&D elites

Top-tier computing resources to challenge foundational architecture and large-model R&D, cultivating technology leaders who define future standards.

Project-based learning brings real corporate data challenges into the lab, and Responsible AI is embedded into core courses from the start.

Objective 03

An industry–academia co-creation platform for local upgrade

As a national university, NTPU takes responsibility for driving regional industry transformation, positioning the center as an "external R&D center" for enterprises and a core engine for regional economic transformation.

Technology transfer & value-add

Turn lab results into patents or commercial technology, shortening the gap between R&D and application.

Industry–academia alliance

Invite flagship enterprises to set up joint labs for "real problems, real solutions" industrial projects.

SME empowerment platform

An AI diagnosis & enablement platform helping local SMEs move from automation to intelligence.

Spin-off incubation

Combine IP and legal resources, match angel and VC funding, and incubate competitive AI start-ups.

Objective 04

National-level projects & international influence

The center raises research energy from campus integration to national strategic height, establishing a benchmark position with Taiwanese characteristics on the global AI map.

Link to national policy

Actively pursue large integrated grants from NSTC, MOE, and MOEA, such as the AI Center of Excellence (AI CoE).

International integration

Build academic exchange, invite top global scholars (AAAI / ACM / IEEE Fellows), and raise publications at NeurIPS, ICML, CVPR.

Open-source & standards

Push the AI4X framework into international standards bodies and open-source communities to gain a voice in the field.

Annual global summit

Host an influential annual summit ("Taiwan speaks, the world responds") to build a recognizable academic brand.

See how these objectives shape the center's positioning.

Center positioning → Organization