There’s mounting pressure on manufacturers to bring new products to market, faster, efficiently and more cost effectively.
In order to keep up with demand and competitiveness, they must remain at the forefront of modern technology and implement rigorous systems-design processes that accommodate the complexities of developing multi-disciplinary systems using high-fidelity virtual prototypes, or ‘Digital Twins’, at the core of the development process.
The convergence of mechatronic, or cyberphysical technologies, with advances in data management, artificial intelligence, machine learning, and communications via the Internet of Things is already challenging traditional industrial product manufacturing processes and the impact of COVID-19 is accelerating this digital transformation.
The Emergence of Artificial Intelligence & Machine Learning in CAE Simulation explores the role of Machine Learning and Artificial Intelligence in virtual manufacturing and CAE, and how they can reduce simulation time and development cycles dramatically across all industries, here and now. It aims to help you to explore the possibilities of AI and ML in your projects – whether you are just getting started or have a problem that you would like to begin applying these techniques to solve today.
To download the whitepaper please submit your details here
