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Next-Generation Pioneering Artificial Intelligence Research Program (2025)
Sovereign AI
Sustainable AI
Safe AI
Agentic AI
Breakthrough Technology
Crisis-Aware Medical AI: From Foundational Intelligence to Lightweight Deployment
Toward 2030: An Interdisciplinary Taskforce for Medical Sovereignty and Digital Twin
An Interactive Language Learning AI Platform for the Taiwanese Context: Multimodal Technology Development with a Focus on Educational Applications
Cross-Domain Multimodal AI Technologies and Platforms for Next-Generation Smart Manufacturing Applications
Towards Real-World Deployment of Agentic AI Technologies
Shennong Agriculture Intelligent Agent
Development of Lightweight Intelligent Agents with Local Adaptation and Sustainability: An Integrated Framework from Multimodal Language Models to Edge Deployment
A Secure and Privacy-Enhanced Domestic Smart Healthcare Platform: Advancing Innovative Elderly Care Through Cross-Reality and AI Integration
Next-Generation Human-Centered Multimodal AI Agents with Verifiability, Controllability, and Inclusiveness
Development of Industry Foundation Models and Enabling AIoT Technologies for Smart Manufacturing
A Hierarchically Collaborative Autonomous AI Agent Framework for Multimodal Intelligent Pathology Analysis
An Intelligent Home HealthCare Robot Design Based on Multimodal Large-Language Models for the Elderly
Developing Intelligent Health Agents to Drive a Paradigm Shift in Healthcare
Next-Generation AI Agents for Socio-Agentic Collaboration
Integrating External Knowledge and Physically-Grounded Multimodal World Models for Multi-Agent Robotic Control
Embodied Intelligence from Multimodal Reasoning for Spatial-Temporal Understanding, Alignment, Self-Reflection and Embodied Reasoning
Trustworthy and Generative Large Language Models
Medical Model Beyond Scaling: A Modular Foundation Model Framework for Data-Efficient and Trustworthy Medical Imaging
Sparse Operations for Large-Language Models and Other Machine Learning Methods
The Study on Enhancing the Creativity of Large Language Models through Reflective Learning and Hallucination Analysis
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