Enhancing Digital Twins with Artificial Intelligence

Description

A digital twin is a virtual model designed to accurately reflect a physical object, system, or process. With the adoption of digital twins expanding across multiple sectors, they have become a catalyst for new opportunities and innovation, enabling detailed analysis and simulation of real-world scenarios. However, to unlock the full potential of digital twins and transition from static models to dynamic systems that can predict future states and optimize outcomes, the integration of Artificial Intelligence (AI) is crucial. This integration transforms digital twins into smart entities capable of learning, adapting, and making decisions. This talk will delve into the architecture of digital twins and outline the strategic integration of AI, highlighting how AI-enhanced digital twins can lead to more informed decision-making and operational efficiency. The talk will present a series of case studies from various industries to elucidate the concepts discussed and to illustrate practical applications of these ideas.

Period	23 May 2024
Event title	6th International Congress on Human-Computer Interaction, Optimization and Robotic Applications
Event type	Conference/symposium
Location	Istanbul, TurkeyShow on map
Degree of Recognition	International