In the second part of our series, we explore groundbreaking AI and machine learning applications in structural engineering, focusing on cutting-edge research at the Asian Institute of Technology (AIT). This lecture delves into AI-driven structural design, where artificial neural networks enhance cost estimation, optimize designs, and ensure compliance with safety standards.
Key topics include data-driven frameworks for improving building efficiency, the role of sensor data in refining structural models, and vision-based AI techniques for structural inspections using drones and smartphones. We also discuss the future of AI in structural engineering and how ongoing research at AIT is driving innovation in sustainability and efficiency.
