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Maximising the Value of Test Campaigns Using AI | A Fuel Cell Case Study
Validating the intractable physics of complex, non-linear systems, such as fuel cells, is time-consuming and costly. Testing every possible scenario is not feasible, yet over-testing confirms what's already known while under-testing risks failing certification or missing issues. Join Monolith engineers Arnaud Doko and Jousef Murad to discuss how the AI software enhances test engineers to…
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