Artificial Intelligence and High-Performance Computing Application Research Program
1/12/2026, 7:00:00 PM
The establishment of the NVIDIA-National Taiwan University Artificial Intelligence Joint Innovation Center （NVIDIA-NTU AI Center） aims to promote the development and application of artificial intelligence research technology in Taiwan and foster talent. The primary goal of this call-for-project is to connect NVIDIAs high-performance GPU computing resources with National Taiwan Universitys interdisciplinary research teams, jointly pushing forward the development and application of artificial intelligence technology in Taiwan. It is hoped that this proposal can accelerate the development and realization of AI application technologies and simultaneously cultivate more outstanding talent in artificial intelligence.
● Generative AI and Digital Twin: Including but not limited to applications of generative AI and digital twins in fields such as music, image, finance, law, manufacturing, and smart cities.
● Physical AI: Research on embodied intelligence and robotic systems. This includes using multimodal foundation models to enable robots to perceive, understand, and interact with the physical world； or using simulation environments to conduct Sim-to-Real training and deployment, applicable to autonomous vehicles, industrial robots, and humanoid robots.
● Large Language Models （LLMs）: Development and research of technologies related to large language models in speech and natural language processing, as well as their application in various real-world scenarios.
● Physics-Informed Neural Networks （PINNs）: Developing PINNs for scientific computing by combining causal relationships described by governing partial differential equations （PDEs） in physics with simulated data from CAE solvers or observational data. This is applicable to accelerated computations in fields such as fluid dynamics, electromagnetism, and thermodynamics.
● Quantum Computing Simulation: Conducting research in quantum computing simulation, such as assisting researchers in simulating quantum systems on conventional computers （GPUs） to explore the potential of quantum algorithms and quantum computing.
● Drug Discovery: Research related to drug development, such as applying deep learning techniques to drug molecule design, protein structure prediction, and virtual screening.
● Healthcare: Research and applications in medical imaging analysis, genomics, and smart healthcare, using AI technologies to improve clinical diagnosis accuracy, surgical assistance, and treatment outcomes.
● Data Processing Unit （DPU） Applications: Innovative research on using DPUs to offload and accelerate networking, storage, and security tasks.
● Other Topics Related to NVIDIA SDK: Innovative applications developed using the technologies and tools provided by NVIDIA SDK, preferably those requiring large-scale computation.