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A novel simulation-based fire risk hazard ranking for refrigerant leakage in confined spaces
Empower trust in Machine Learning and Artificial Intelligence-based products by leveraging virtual testing to support certification decisions.
Predictive modeling and simulation are important tools for reducing product design and development lifecycles and providing real-time insights into product performance. At UL Solutions, we are expanding the usage of such tools to now support regulatory and compliance decisions for your products and build trust in the development of your models.
Whether leveraging physics or engineering-based modeling solutions to enhance your design process or embedding machine learning (ML) or artificial intelligence (AI) into products, it is important to establish that the model and its predictions are suitable and rigorous enough to confidently inform regulatory and product compliance.
To date, few efforts have been made to bridge the regulatory, compliance, or critical safety considerations to the product design stage.
UL Solutions, as an independent body that has a long history of evaluating the safety of products and systems, can now provide the same assessment earlier in the product lifecycle through emerging technologies. UL Solutions empowers trust in the safety and reliability of your use of modeling and simulation.
We can validate your high-fidelity, high-confidence predictive models for appropriateness and accuracy to support certification and product compliance decisions.
Many products are incorporating algorithms based on machine learning approaches, to help support decisions within products. UL Solutions can assess the trustworthiness of your ML/AI based product.
A novel simulation-based fire risk hazard ranking for refrigerant leakage in confined spaces
Fire Modeling of Basement with Wood Ceiling
Predicting UL 94 Ratings for Plastics based on MCC Measurements
Electromagnetic Modeling of Virtual Humans to Determine Current Factors
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