Resources

Machine Learning Optimization: Best Techniques and Algorithms

How Is AI Used in Mechanical Engineering?

Generative Design & The Role of AI Engineering - Applied Use Cases

CAE Tools Used in Automotive Industry

Topology Optimization VS Generative Design

AI Models — Data Collection and Generation

Geodesic Convolutional Shape Optimization: Optimize Complex Shapes Fast

CAE Meets Deep Learning: A Personal Take on Transforming Engineering

In-graph Training Loop

Modelling Facial Geometry using Compositional VAEs

Drone Aerodynamics — Design Optimization by SenseFly & NC

Artificial Intelligence meets Aerodynamics – the Ultimate Drone

SP80 using Neural Concept

Smarter Satellite Design for Thermal Constraints (Whitepaper)

Integrating Geometric Deep-Learning models into Paraview

Neural Concept and Bosch Collaborate on 3D Deep Learning Applications for Faster Engineering Decision Loops

Volumetric Field Predictions: A Benchmark using Neural Concept

Neural Concept on Hydrodynamic Applications

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

Neural Concept in Waveguide Simulations

Neural Concept and Airbus Presenting their Collaboration

Deep Learning for Simulation in HPC

A Novel Approach to Turbulence Model Development using Neural Concept

Transonic Airfoil Flow Design Evaluation With Deep Learning Models

How to feed an AI-powered predictive tool?

Future Perspectives and Current Applications of Deep Learning-based Engineering

AI in the Automotive Industry — Digitalization and Recent Improvements

Deep Neural Network in Simulations

Hydrofoil Shapes Optimization With Geodesic Convolutional Neural Network

NeuralSampler: Euclidean Point Cloud Auto-Encoder and SamplerA