Leverage artificial intelligence (AI) in the vehicle design process

When automotive manufacturers and suppliers apply artificial intelligence (AI), model-based systems engineering (MBSE), and machine learning (ML) to their full potential, it promises to multiply human capacity and accelerate the development and discovery of new technologies.

In this white paper, discover a framework for applying AI to the vehicle development process. Illustrated with examples, it identifies specific scenarios where the machine can complement the human mind to achieve speed and efficiency and turn the increasingly complex world of today's engineering into an advantage — Download the full white paper now.

Why AI in vehicle design?

Now is the perfect time to take advantage of AI, as the two critical enablers have become prevalent in the automotive engineering space: big data and processing power. By leveraging AI, we can:

• Enhance design efficiency: AI algorithms can analyze vast amounts of data to identify optimal design solutions, reducing the time and effort required for vehicle design.
• Improve accuracy: AI-driven tools ensure precision in design, minimizing errors and enhancing the overall quality of the final product.
• Foster innovation: AI enables designers to explore new possibilities and push the boundaries of traditional vehicle design, enabling innovative and groundbreaking designs.

Accelerate vehicle product development with AI

Simcenter provides a practical framework for applying AI and ML to automotive engineering processes. Our white paper delves into several key areas where AI is making a significant impact:

• Data-driven design: Utilizing AI to analyze historical vehicle design data and predict future trends, enabling more informed automotive design decisions.
• Automated design processes: Implementing AI to automate repetitive automotive design tasks, freeing up designers to focus on creative and strategic aspects.
• Simulation and testing: Leveraging AI-powered simulations to test and validate autmotive designs in a virtual environment, reducing the need for physical prototypes.
• Collaborative design: Enhancing collaboration among vehicle design teams through AI-driven tools that facilitate communication and streamline workflows.

Download the whitepaper now to see how the right AI framework can enhance your automotive development process.