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DE chats with Malcolm Panthaki, co-founder of Revolution in Simulation, about their mission to expand the reach of simulation technology.
With Neural Concept Shape, you can use 3D numerical simulations as input to train your deep learning models. If we take the example of aerodynamic simulations, these CFD simulations results are usually much larger files than images or text (a single result can reach several hundreds of GB). Hence storing a large amount of them can become an issue in the long term, as it would require to regularly scale up the hardware infrastructures accordingly.
Engineering has always been considered an evolving industry. The increase of AI technologies enables engineers to complete their work more efficiently and solve a wider range of problems, empowering their own expertise, and making them the main actors of future’s development and success.
A deep learning solution can assist engineers from first iteration to final configuration without the hassle to learn computer science, data science or machine learning thanks to bespoke interfaces sitting on a background solution managed by experts.
Learn how Artificial Intelligence with specific Machine Learning models can reduce costs and improve the quality of products and services.
The automotive industry faces challenges; design teams in automotive companies are under pressure. Can artificial intelligence (AI) help product design teams in the automotive industry? How can supply chains become more efficient with AI and data science?
CINCINNATI, OH (USA); FEBRUARY 21, 2023: The global simulation industry collaboration and technology alliance Revolution in Simulation (“Rev-Sim” at www.rev-sim.org), … Continue reading Revolution in Simulation Welcomes Neural Concept as Newest Sponsor
The drive towards full electrification of the car is an opportunity but also a challenge. Certain elements of the drivetrain will disappear, such as exhaust systems. On their turn, components such as the battery are now becoming prevalent.