此計畫徵案的研究領域包括：
● Generative AI: Training and Model Development
● Generative AI: Alignment and Inference
● Simulation and Modeling
鼓勵延伸相關領域的學者踴躍申請：此計畫徵案的研究領域包括
● 生成式AI應用：探索AI在音樂、圖像、金融、法律等領域的創新應用
● 大型語言模型：研究與開發先進的自然語言處理技術，探索其在各種實際場景的應用
● 物理資訊神經網路（PINN）：將物理學原理與深度學習相結合，應用航太、天文、流體力學、電磁學等領域
● 量子計算模擬：在傳統計算機上模擬量子系統，探索量子計算的潛力
● 藥物開發：利用AI技術加速藥物分子設計、蛋白質結構預測等研究
● 醫療保健：開發AI輔助診斷和治療系統，提升醫療效果
● NVIDIA SDK相關主題：善用NVIDIA提供的各種SDK，如NeMo、BioNeMo、Modulus、CUDA-Q、CLARA等
● Generative AI Applications: Explore innovative applications of AI in fields such as music, image generation, finance, and law.
● Large Language Models: Research and develop advanced natural language processing technologies and explore their applications in various real-world scenarios.
● Physics-Informed Neural Networks (PINNs): Combine principles of physics with deep learning, with applications in aerospace, astronomy, fluid dynamics, electromagnetism, and more.
● Quantum Computing Simulation: Simulate quantum systems on classical computers to explore the potential of quantum computing.
● Drug Development : Use AI technologies to accelerate research in drug molecule design, protein structure prediction, and related fields.
● Healthcare: Develop AI-assisted diagnostic and treatment systems to enhance medical outcomes.
● Topics Related to NVIDIA SDKs: Utilize a range of NVIDIA-provided SDKs, such as NeMo, BioNeMo, Modulus, CUDA-Q, CLARA, and others.
