Resources

Leveraging Engineering Data to Speed-up Design Cycles

Will AI Replace Mechanical Engineers? Risks and Opportunities

The Importance of Uncertainty Quantification for Deep Learning Models

In the Quest for Breaking the World Record: Collaboration with SP80 to Optimize Ventilated Hydrofoils Profiles

AI in Aerospace Engineering: Redefining Intelligent Design

AI in Engineering: Applications, Key Benefits, and Future Trends

Mubea using Neural Concept Shape for the Design of Innovative Lightweight Components

What Is Cloud Scalability? Benefits & Engineering Applications

AI in Automotive Industry: Applications and Innovations

Design Optimization of Heat Exchangers

F1 Aerodynamics — Shape Predictions & Optimization With NCS

Predictive Maintenance Algorithms for Better Efficiency

ML vs LLM: Key Differences, Applications & Engineering Impact

CodeLake - Trusted Context for Accurate Answers

What Is Meshing: Unlocking the Power of 3D Geometry

NCS to Enhance the Design of Turbomachines

Neural Concept Shape used to Optimize the Aerodynamics Properties of Tomorrow’s Airplanes

Neural Concept and EPFL CVLab at NeurIPS: “MeshSDF: Differentiable Iso-Surface Extraction.”

Miniswys uses Neural Concept Shape for the Design Optimization of Customized Ultrasonic Actuators

Training Deep Learning Models Efficiently on the Cloud

CES 2026

SAE International: Productive Adoption of AI in the Design and Engineering of Mobility-tech

NAFEMS: Simulation Engineering in the Automotive Industry

SciTech AIAA Forum 2026

Tec Talk Executive Summit

Digital Thread vs Digital Twin: Key Differences and Practical Insights

CDFAM NYC 2025

ISC High Performance 2025

Realize LIVE Americas 2025

Ai for Engineers Series