The NCSEA Foundation AI Grant Team is excited to announce the release of a hands-on guide introducing structural engineers to the practical applications of artificial intelligence. This tutorial bridges the gap between engineering and AI, offering a step-by-step walkthrough for training a computer vision model to classify surface roughness categories—a concept originally presented at the NCSEA Structural Engineering Summit.
Key Highlights:
- Practical AI Implementation: Learn to set up a local development environment for AI projects.
- Transfer Learning Tutorial: Work hands-on with Google’s visual transformer model to fine-tune AI for structural engineering applications.
- Real-World Relevance: Focus on classifying surface roughness from aerial images, showcasing the potential for AI in solving industry-specific challenges.
Why It Matters:
Pre-packaged AI tools often fall short of addressing the unique challenges in structural engineering. This guide empowers professionals to customize open-source AI models, fostering a community of innovation and collaboration. By harnessing technology, structural engineers can explore new possibilities, from interpreting engineering drawings to managing BIM data and beyond.
Learning Outcomes:
- Gain a practical understanding of AI model training.
- Set up a development environment tailored to engineering applications.
- Master transfer learning techniques to customize AI for your needs.
The guide is a first step in unlocking AI’s potential to reshape how structural engineers approach complex problems, paving the way for further innovation in the field.
Ready to dive into the future of structural engineering?
Access the guide today and start exploring how AI can transform the industry:
NCSEA Foundation Innovation in Structural Engineering – Quick Start Guide for Working with AI Models