PhysicsAI operates directly on mesh or CAD models to produce fully animated physics outcomes at blazing speed across diverse physics applications. This streamlined approach takes a fraction of the …

AI-powered physics predictions trained on your simulation data. Altair PhysicsAI is an advanced CAE technology that uses geometric deep learning to generate fast physics predictions based on existing …

PhysicsAI offers a simplified experience to enable the use of AI in CAE without extensive understanding of data science. You can use the GUI to create datasets, train and test AI models, and make …

Dec 5, 2024 · Altair PhysicsAI is an advanced, AI-powered tool designed to enhance and accelerate engineering simulation workflows by leveraging machine learning and data-driven insights.

Generate, train, and predict AI-powered physics models in the cloud. Scale simulations, share models, and accelerate innovation all in the cloud.

Learn the basics of PhysicsAI. PhysicsAI tutorials with an intermediate difficulty level. PhysicsAI tutorials with an advanced difficulty level. Explore the HyperStudy tutorials to learn more about using …

Explore the HyperStudy tutorials to learn more about using PhysicsAI in HyperStudy. In this tutorial, you will use the Shape Encoding Regressor (SER) architecture to predict KPIs.

Once trained, physicsAI models can deliver predictions up to 1000x faster than traditional solver simulations, enabling teams to evaluate more concepts and make better design decisions. Presented …

Shubhamkar Kulkarni, Product Specialist at Altair presents at the 2024 ATCx AI for Engineers conference.

Sep 23, 2024 · Discover how geometric deep learning is revolutionizing AI-powered engineering with Altair® physicsAI™. This breakthrough technology accelerates design cycles, enhances innovation, …