Architecture Design
Architecture design, encompassing both physical structures and software systems, is undergoing a transformation driven by advancements in artificial intelligence. Current research focuses on developing novel architectures for various applications, including efficient neural networks for tasks like speech emotion recognition and video question answering, as well as generative AI models for architectural design and autonomous systems. These efforts aim to improve efficiency, robustness, and adaptability across diverse domains, impacting fields from robotics and urban planning to computer vision and software engineering.
Papers
Automatic Measures for Evaluating Generative Design Methods for Architects
Eric Yeh, Briland Hitaj, Vidyasagar Sadhu, Anirban Roy, Takuma Nakabayashi, Yoshito Tsuji
Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning
Zixuan Hu, Li Shen, Zhenyi Wang, Tongliang Liu, Chun Yuan, Dacheng Tao