An Artificial Intelligence algorithmic platform to help the engineer achieve more.
Better design choices
Faster R&D cycles
Reduced engineering costs
How Does Neural Concept Shape Work?
The core technology of Neural Concept shape are 3D convolutional networks that learn to predict the output of physical simulations or experiments based on the input shape’s geometrical properties. They can be used as complements to the traditional numerical simulation and experimental methods so as to alleviate the need for actual simulations or experiments along the conception pipeline. This dramatically accelerates and reduces the cost of the design process.
This proprietary deep learning technology is also fully integrated with state-of-the-art shape optimisation algorithms. Therefore, when relevant, the conception process can even be completely automated so as to find the optimal design(s) given a number of predefined objectives.
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