Landscape Architecture
Landscape architecture is evolving through the integration of artificial intelligence (AI), aiming to optimize design, planning, and management of green spaces. Current research focuses on AI-driven tools for generating realistic 3D models, automating tasks like planting and maintenance using robotics, and developing algorithms to analyze and predict environmental variables. This interdisciplinary field is leveraging deep learning and other machine learning techniques to create more sustainable, efficient, and user-friendly landscapes, impacting both ecological restoration and urban design.
Papers
November 5, 2024
August 26, 2024
June 3, 2024
April 21, 2024
May 22, 2023
May 3, 2023
Cultivated Wildness: Technodiversity and Wildness in Machines
Zihao Zhang, Bradley Cantrell
The Future of Artificial Intelligence (AI) and Machine Learning (ML) in Landscape Design: A Case Study in Coastal Virginia, USA
Zihao Zhang, Ben Bowes
Cybernetic Environment: A Historical Reflection on System, Design, and Machine Intelligence
Zihao Zhang
November 29, 2022
April 12, 2022