This artificial intelligence allows any user to master the physics of their projects in a few hours, thanks to a coherent set of numerical simulations and deep learning techniques. Siml.ai stands out for its ability to optimizing extremely fast physics simulators through an easy to use web application. The Model Engineer proposes the management of large databases resulting from classical simulations or physical sensors, while allowing the rapid development of model architectures adapted to the desired physical constraints. La Simulation Studio, on the other hand, uses these AI models to solve engineering and scientific problems, offering faster computing speeds than traditional GPU-based simulation software, while allowing interactive visualization in real time through high-fidelity renderings. This tool is therefore aimed at engineers and researchers, providing them with scalability painlessly on cloud or HPC infrastructures, without requiring in-depth technical expertise to manage these infrastructures.
This feature allows create and optimize extremely fast physical simulators using techniques of Deep learning accessible via a web interface. Suitable for engineers who want to complete complex projects quickly without the heavy management of cloud infrastructure.
Uses trained AI models for “in-situ” visualization, transforming how physical phenomena are simulated and analyzed. Offers immediate observation capabilities, essential for sectors to high technicality such as engineering and scientific research.
Use of Unreal Engine for high fidelity 3D visualization, significantly improving the visual representation of simulated data. This feature is an asset for any entity requiring a superior graphics quality for the representation of complex simulations.
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