Dassault Systèmes has announced the organization of the SIMULIA Community Conference Japan 2026, which will serve as a platform to showcase the radical evolution in Modeling and Simulation (MODSIM) technologies through the integration of artificial intelligence capabilities. According to Michelle Ash, CEO of the SIMULIA brand, the industry is moving toward deeper integration of artificial intelligence into engineering design processes to bridge the gap between digital models and physical reality.
The Shift from Traditional Engineering to AI-Powered MODSIM
Computer-Aided Engineering (CAE) processes have long relied on specialized simulation tools such as Abaqus, PowerFLOW, CST, Simpack, and Wave6 to conduct precise product testing. However, the sector is witnessing a shift toward the MODSIM (Modeling and Simulation) concept, where the process is no longer limited to testing finished designs but extends to building interactive digital models capable of learning and evolving.
This trend aims to address traditional challenges in product development, such as the urgent need to reduce development cycle times and lower the high costs associated with physical and laboratory experiments. By integrating artificial intelligence, engineers can accelerate complex computational processes and transform massive data generated by simulations into immediate design insights.
What is Changing Practically?
The fundamental change the conference focuses on lies in the transition from simulation as a "verification" tool to simulation as a "generative and development" tool through what is known as Physical AI. This means:
- Accelerating Calculations: Using artificial intelligence algorithms to predict physical outcomes, reducing the time required for traditional simulations that might take hours or days.
- Data Integration: The ability to integrate data extracted from various tools (such as electromagnetic and mechanical simulations) within a unified artificial intelligence environment.
- Improving Model Accuracy: Using machine learning to enhance the accuracy of digital models and make them more capable of simulating complex physical phenomena with extreme precision.
Why Does This Trend Matter?
This shift represents a response to the requirements of advanced industries such as automotive, aerospace, and electronics, where speed to market (Time-to-Market) has become a critical factor for competition. The ability to integrate artificial intelligence into the MODSIM environment gives companies the capability to innovate more complex and safer products in record time, while reducing reliance on costly physical prototypes.