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Blog
Automotive
Electromagnets RF and Optics

How Many Simulations Do You Need To Train Your Predictive Model?

Research

NeuralSampler: Euclidean Point Cloud Auto-Encoder and SamplerA

Research
Marine
External flows

Hydrofoil Shapes Optimization With Geodesic Convolutional Neural Network

Blog
Marine
Internal flows and Thermal management

Deep Neural Network in Simulations

Blog
Automotive
Internal flows and Thermal management

AI in the Automotive Industry — Digitalization and Recent Improvements

Blog
Marine
Rotating machines

Future Perspectives and Current Applications of Deep Learning-based Engineering

Blog

How to feed an AI-powered predictive tool?

Blog
Aerospace
Electromagnets RF and Optics

Deep Learning for Simulation in HPC

Research
Automotive
External flows

Sketch2Mesh: From Sketches to Generation and Edition of 3D Shapes

Blog
Aerospace
Internal flows and Thermal management

Volumetric Field Predictions: A Benchmark using Neural Concept Shape

Webinars
Automotive
Internal flows and Thermal management

From CAD to Decision Metrics and Optimal Design in Real-time

Research
Aerospace
Electromagnets RF and Optics

Integrating Geometric Deep-Learning models into Paraview