Dessia, The french Artificial Intelligence Start Up developing the first generative engineering platform, is proud to announce its new partnership with Plastic Omnium, a major player in the automotive industry and global leader in green mobility solutions. This collaboration aims to optimize Plastic Omnium's product design by leveraging the advanced design decision support capabilities offered by Dessia.
Explainable AI, often referred to as the 'XAI,' represents a critical bridge between the complexity of AI algorithms and the practical needs of engineers. It offers the capability to demystify the decision-making black boxes inherent in AI systems, providing engineers with invaluable insights into why and how specific choices are made. In the context of hardware engineering, where precision, reliability, and safety are paramount, XAI emerges as a cornerstone technology, enabling engineers to confidently leverage AI-driven solutions for critical tasks
There exists a common perception that mechanical engineers tend to minimize their involvement in programming, opting to steer clear of it whenever possible. If they cannot automate a task using Excel, they often choose to avoid programming entirely. In the day-to-day routine of mechanical engineers, programming typically assumes a secondary role or sometimes no role at all. Their primary focus revolves around machine design, dynamics, and material science, with programming not being a prominent aspect.
Are you leading a digital transformation initiative, focused on Industry 4.0, and looking for the best levers to reduce your engineering costs while guaranteeing product performance? Generative engineering could meet your needs.
Knowledge Based Engineering (KBE) is an engineering methodology that enables the generation of engineering products based on the prior experiences and knowledge held by experts in a field. It is a powerful tool for industrial companies that are looking to increase their efficiency and reduce costs while still delivering high-quality products.
AES is a type of software designed to help engineers process complex tasks faster and more efficiently. It provides a set of tools that enable engineers to quickly analyze data, visualize 3D models, identify potential problems and generate solutions
Use case of collaboration between Dessia and Renault
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