Organizations of today have an imperative to innovate & stay ahead by optimizing their time to market and introducing new competitive products ahead of the market, especially so in this era of Artificial Intelligence (AI) and Machine Learning (ML). Traditional product development based on computer-aided engineering (CAE) not only takes a long time, but it requires domain expertise. Limited availability of domain experts tends to be a bottleneck for organizations to bring competitive products to market in less time. nvision, an AI-powered surrogate modelling tool by Noesis Solutions, is our solution to the challenges posed by long simulation iterations.

What is Surrogate Modelling?

Surrogate Models are simplifications of high-fidelity, complex models, to expedite the analysis and optimization of these high-fidelity simulations. They are fast-running approximations of complex, time-consuming computer simulations that capture the behavior of these source models so that engineers can quickly study the product’s performance almost instantaneously.

In the era of digital engineering, engineers are adapting to new technologies to face the market demands for short design cycles and high product quality. nvision, an AI-powered surrogate modelling tool by Noesis Solutions, helps engineers to put state-of-the-art Neural Network technologies in daily usage and enable them to unveil the data characteristics which is not easily accessible with traditional computational methods. It captures the behaviour of the source models and enables a quick study of the product performance with minimal computational resources.

As a result, engineers can use nvision to drastically reduce the time-to-market, shrink research budgets, and limit computational resources, without reducing the quality of the model drastically.

How does nvision leverage AI/ML?

Surrogate models leverage the power of machine learning (ML) and artificial intelligence (AI) to derive approximation functions that enable them to accurately represent the underlying physical system. An AI-powered surrogate model function is a data-driven process, and an active learning mechanism is utilized to minimize the required number of data points essential for adequate model training; this means any extension of the design space will require enrichment of the database used in model training. Therefore, once the bounds of the design space are defined properly, nvision enables engineers to discover the most promising regions or, in verification mode, it can highlight the regions that require more data for better model quality. Therefore, by enabling engineers to have access to these insights, nvision enables them to populate your design space with simulations serving a high-quality model and thereby a high-quality product.

AI/ML Innovations on the Rise at Noesis Solutions

AI/ML innovation is not new at Noesis Solutions, but rather has been in our DNA, to enhance simulation, optimization, and related workflows. We are consistently looking to expand our knowledge and how our customers can leverage the use of AI/ML to gain competitive advantage.

For more information, review the latest announcement, webinars, case studies and stay up to date on the latest products and case studies at Noesis Solutions. To discover how nvision can accelerate innovation at your organization, request a free non-obligatory consultation here.