NTPU AI4X Research Center
National Taipei University · AI4X

Now in operation · officially launched August 1, 2026

AI for Every Domain

The Advanced Research Center for Cross-Disciplinary AI (AI4X Research Center) has been officially operating at National Taipei University since August 1, 2026. As a university-level platform, it connects research strengths in law, business, public affairs, humanities and social sciences, sustainability, and information technology, advancing cross-disciplinary research, shared resources, industry–academia collaboration, and responsible AI.

In this first phase the center is prioritizing cross-college research matchmaking, mapping campus AI capacity, data governance, computing support, and collaboration channels, and will progressively launch cross-domain seed projects and academic exchange.

About the center → Center members Contact us
1 / In operation

Official operations began August 1, 2026.

Official name 跨域人工智慧前瞻研究中心Advanced Research Center for Cross-Disciplinary AI
Operational since August 1, 2026University-level research center, NTPU
Current status In operationLeadership appointed · first-wave initiatives under way
Center Director Prof. Min-Yuh DayProfessor & Director, Graduate Institute of Information Management, NTPU
Location National Taipei University151 University Rd., Sanshia District, New Taipei City 23741, Taiwan
Contact ssuyin41@gm.ntpu.edu.twSsu-Yin Chen, Administrative Specialist · Tel: +886-2-8674-1111 ext. 66894
2 / News

Latest announcements.

2026-08-01
People

Center leadership and division heads announced

The center director, the three division heads (Industrial Technology, Cross-Domain Application, Education & Innovation), and the administrative window are now listed on the members page.

All news & events →
3 / First wave

First-wave initiatives now under way.

Under way since Aug 2026

Cross-college AI research matchmaking

A mechanism pairing domain researchers across colleges with AI researchers for joint projects.

Under way since Aug 2026

Campus AI research capacity mapping

An inventory of AI-related research capacity, teams, and expertise across NTPU.

H2 2026

Research data & computing resource governance

Policies and procedures for managing research data and shared computing resources.

H2 2026

Cross-domain seed research projects

A first call for small cross-domain seed projects connecting two or more colleges.

H2 2026

Faculty & researcher workshops

Workshops introducing AI methods and tools for faculty and research staff.

Under way since Aug 2026

Industry & government collaboration channel

A single window for industry, government, and international collaboration inquiries.

Planned · 2027

Responsible AI & data governance guidelines

Center-level guidelines for responsible AI research and data governance practice.

4 / AI services

AI platforms & teams already in service.

Campus AI platforms and the student technical R&D team, available now to the NTPU community.

◦ Platform

NTPU AI

The university AI platform, offering AI conversation, web search, campus search, and file analysis.

ai.ntpu.ai
◦ Assistant

NTPU AI Assistant

A campus question-answering assistant, currently covering the Physical Education Office, the Center for General Education, and the Language Center.

aia.ntpu.ai
◦ Team

NTPU AI Aquila Project

A technical R&D team of students from several disciplines: technology development, project implementation support, and education & training.

ntpu-ai-aquila.github.io
All AI services →
5 / Research

First-wave research themes.

Six mission-oriented themes for the center's initial phase. Each theme connects two or more colleges; collaboration inquiries are welcome through the administrative contact window.

◦ Theme 1 · active

Trustworthy generative AI

Reliability, evaluation, and safety of generative AI, connecting computing, law, and business colleges.

◦ Theme 2 · active

Legal tech & AI governance

AI regulation, compliance, and legal informatics, connecting the College of Law with computing and public affairs.

◦ Theme 3 · H2 2026

Business & public decision intelligence

AI-assisted decision-making for business and public policy, connecting business, public affairs, and social sciences.

◦ Theme 4 · H2 2026

Digital humanities & cultural data

Computational analysis of cultural and historical materials, connecting humanities with information technology.

◦ Theme 5 · H2 2026

Sustainable cities & public risk

AI for sustainability, urban resilience, and public risk analysis, connecting sustainability, public affairs, and social sciences.

◦ Theme 6 · active

Large language models & data engineering

LLM applications and cross-domain research data pipelines: the technical foundation supporting all themes.

6 / Concept

What does AI4X mean?

AI has moved from pure algorithm research (AI Core) toward deep fusion with applications (AI Application). AI4X (AI for Everything / Cross-domain) is a two-way cycle, not merely applying AI as a statistical tool to other fields.

Under AI4X, the center helps materials science shorten the development cycle of new materials, supports precise public-health tracking in smart healthcare, and helps the humanities reconstruct heritage sites with digital twins. In return, disciplinary knowledge optimizes AI itself: linguists refine language-model grammar, legal scholars embed privacy protection into algorithms, and psychologists help build more empathetic human–AI interfaces.

This deep interweaving gives rise to emerging sub-fields such as digital medicine, AI jurisprudence, and computational humanities, reshaping the university's academic map.

7 / Objectives

Four objectives behind the center.

1

Frontier cross-domain research & technical innovation

Drive AI transformation across law, business, public affairs, social science, humanities, sustainability, and electrical & computer engineering, while deepening core technologies: machine learning, LLMs, GenAI, agentic AI, and physical AI.

2

Cultivating cross-domain talent with an "AI gene"

A three-tier talent pyramid (AI literacy for all, AI4X applied specialists, and frontier R&D elites), combined with project-based, industry-posed problem solving and Responsible AI at the core.

3

Building an industry–academia co-creation platform

Turn lab results into patents and commercial technology, host joint labs for "real problems, real solutions," and accelerate the upgrade of local industry.

4

National-level projects & international academic influence

Win large integrated grants (e.g. NSTC AI Center of Excellence), attract top global scholars, and raise publications at premier venues such as NeurIPS, ICML, and CVPR.

Read all objectives in detail →
8 / Targets

Targets for 3–5 years after launch (2029–2031).

500+ Students / year

completing AI4X micro-programs with a digital certificate

30+ Advanced talent / year

master's & PhD specialists in frontier or cross-domain AI

10+ Feature datasets

high-quality cross-disciplinary sets on a shared platform

5+ AI workshops / year

for faculty, staff, and local enterprises

Planned targets counted from the official operational date of August 1, 2026; actual figures depend on annual plans and available resources.

9 / Progress

Where the center stands today.

Completed

Center establishment & governance structure

Confirmed · July 2026
Completed

Official website, phase one

Published · August 2026
Completed

Center leadership, division heads & contact windows

Announced · August 2026
In progress

Cross-college research capacity mapping

Started August 2026
Planned

Seed research project call

Expected H2 2026
Planned

Computing & data resource policies

Expected H2 2026
In preparation

First center event

To be announced
10 / Positioning

The brain and engine of campus-wide AI.

◦ Position 1

AI4X cross-domain integration platform

A central nervous system that turns AI into shared research infrastructure for the whole university.

◦ Position 2

National AI strategy & policy base

A public think tank that translates national goals into actionable R&D and AI governance.

◦ Position 3

Industry–academia translation relay

Bridging TRL 3–7, an external R&D engine for enterprises and an incubator for spin-offs.

◦ Position 4

Node in the global AI knowledge network

An open research hub embedding NTPU into the worldwide cycle of AI innovation.

Explore the four positionings →
Work with us

Interested in cross-domain AI collaboration?

Collaboration inquiries from campus, industry, government, and international partners are now being accepted through the center's administrative window.

Contact & collaboration → Center members