Resources

In this study, we demonstrate the application of a novel numerical optimization method for Hydrofoil shapes on EPFL’s Hydrocontest race boat. We show that the numerical optimization method based on Geodesic Convolutional Neural Network techniques (Baqué et al, ICML 2018), improves the foil’s design upon previously manually optimized shape.

2021 Neural Concept, the Swiss design and engineering software company, is extremely pleased to announce new steps in its development. With the start of the year, Constantia New Business and High-Tech Grunderfonds financed the next stage of the growth by providing seed-extension capital.

Thermal modeling on satellites panels: 3D Deep Learning on different topologies Neural Concept (NC)

Miniswys is a Swiss company developing ultrasonic piezo-electric actuators to achieve precise bidirectional movements, reaching very large strokes with low driving voltage in compact applications. In order to develop such a product, the engineers perform Finite element analysis simulations, to estimate the dynamic behavior of the design, by performing modal analysis. It is used to estimate the resonance frequencies and structural modes of the geometry under various conditions.

NAFEMS is an independent not-for-profit company, with the mission to provide knowledge, international collaboration and educational opportunities for the use and validation of engineering simulation. NAFEMS is widely held to be the leading independent source of information and training for engineering analysts and designers at all levels. On the 15th and 16th of October, will take place the NAFEMS European Conference: Simulation-Based Optimisation in London.

An aerodynamic bike that was designed using software from Neural Concept, a spin-off from the Computer Vision Laboratory (CVLab) in the EPFL School of Computer and Communication Sciences, has broken two world records for cycling speed.

Optimizing the shape of UAVs is of primary importance for the industry. SenseFly, one of the mar- ket leaders in the fixed-wing drone segment is always looking to minimize the battery consumption of its aircrafts and therefore offer longer flight ranges to its customers. Since the external design has a very direct and radical influence on in-flight performances, even a slight improvement is crucial and brings a non-negligible technological lead on the other actors.

The Automotive Industry faces unprecedented challenges. Major technological transformations need to happen under time and cost constraints, which pressures the whole sector.

n this 20 minutes webinar, we will compare Deep-Learning based approaches to traditional reduced order modeling or response surfaces, today used in the industry. We first will look at the differences from a purely technical perspective with an emphasis on performance and capabilities.

Neural Concept and Bosch Research collaborated over the past months on a set of successful applications of 3D geometric deep learning techniques powered by Neural Concept Shape (NCS) software.