Machine Learning in Structures -Part 2
Naveed Anwar Naveed Anwar
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 Published On Jun 22, 2022

Applying Machine Learning in Structures - Part 2

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Welcome back to our series on the transformative impact of AI and machine learning in structural engineering! In Part 2 of this exciting exploration, we dive deeper into how the Asian Institute of Technology (AIT) is revolutionizing the field with cutting-edge technologies.

🔍 What You'll Learn:

AI-Driven Structural Design: Discover how AIT's research is utilizing advanced artificial neural networks to streamline structural design, enhance cost estimation, and ensure adherence to safety standards. Learn how this tool is transforming design practices with real-world data.

Data Analytics for Building Efficiency: Explore innovative data-driven frameworks developed to assess and optimize building efficiency. See how metrics beyond structural integrity, including sustainability, are being integrated into design strategies.

Sensor Data Calibration: Understand how sensor data is being used to refine structural models and improve accuracy in real-time assessments. Find out how AI algorithms enhance the reliability of structural evaluations.

Vision-Based Inspection: Learn about the game-changing role of vision-based AI in inspecting and monitoring structural health. Watch how drones and smartphones are being used to detect and analyze structural defects with remarkable precision.

Future Directions: Get insights into the future of AI and machine learning in structural engineering and how ongoing research at AIT is set to push the boundaries of innovation, efficiency, and sustainability.

👍 Like this video and subscribe for more content on how AI is reshaping industries! Share your thoughts in the comments below or let us know what topics you'd like to see next.

#MachineLearning #StructuralEngineering #AIT #AIinEngineering #DataAnalytics #VisionBasedInspection #EngineeringInnovation #TechInConstruction

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