Human-Technology Systems for Intelligent Civil Infrastructure Operation and Maintenance | AISC

Channel:
Canada LLMs Explained - Aggregate Intellect - AI.SCIENCE
Subscribers:
20,600
Published on ● Video Link: https://www.youtube.com/watch?v=nofbKmcyfGU


Category:
Vlog
Duration: 54:59
225 views
7

For slides and more information on the paper, visit https://ai.science/e/human-technology-systems-for-intelligent-civil-infrastructure-operation-and-maintenance--5flEEF07R77kNMsmmuT4

Speaker: Pingbo Tang; Host: Ashwin Rai

Motivation:
Speaker: Professor Pingbo Tang, Department of Civil and Environmental Engineering, Carnegie Mellon University

Human-Technology Systems (HTS) framework of analysis captures, diagnoses, and predicts risks of human-technology interaction in the operation and maintenance of civil infrastructure systems, such as airports. The HTS framework integrates human behavior tracking and analysis methods, automated sensory data collection and analysis techniques, stochastic models for data-driven human-in-the-loop simulations, and knowledge-based reasoning for vulnerability checking of HTS. This talk will concentrate on how the dynamic HTS framework enables risk assessment of the operation and maintenance processes of airports, transportation infrastructure, and nuclear powerplants.



Other Videos By LLMs Explained - Aggregate Intellect - AI.SCIENCE


2020-10-08Policy Priority Inference: Simulations for Government Strategy | AISC
2020-10-07Inferring the 3D Standing Spine Posture from 2D Radiographs | AISC
2020-10-06Knowledge Extraction from Multimodal & Multilingual sources | AISC
2020-10-01Camera Depth of Field Manipulation for Pre- and Post-Image Capture | AISC
2020-09-30[MOREL] Unsupervised Video Object Segmentation for Deep Reinforcement Learning
2020-09-29Dealing with Bias and Fairness in Data Science Systems: A Practical Hands-on Tutorial | AISC
2020-09-29Overview: Machine Learning for Quantum Matter Research | AISC
2020-09-25Overview of Machine Learning for Knowledge Graphs | AISC
2020-09-24Integrating Physics into Machine Learning Models for Scientific Discovery | AISC
2020-09-24Applications of Blockchain to IoT Security | AISC
2020-09-24Human-Technology Systems for Intelligent Civil Infrastructure Operation and Maintenance | AISC
2020-09-23The AI Design Sprint -- setting your AI Initiative up for delivery success! | AISC
2020-09-23explainX - Explainable AI for model developers | AISC
2020-09-22Statistical Issues in Agent-Based Models | AISC
2020-09-22Layerwise Learning for Quantum Neural Networks | AISC
2020-09-17Survival regression with AFT model in XGBoost | AISC
2020-09-17Detecting Off-Topic Spoken Response with NLP | AISC
2020-09-16Defining your AI Value Model for Product Success (and Profit) | AISC
2020-09-15Real-World Quantum Communication: One Module at a Time | AISC
2020-09-15Predicting and Understanding Human Choices using PCMC-Net with an application to Airline Itineraries
2020-09-14Product Ideation: From a Hunch to a Concrete Idea