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Welcome and thanks for stopping by Neural Concept News page. You can find a selection of articles and posts by Neural Concept’s engineers here. Enjoy your read!
On the quest to break the world record: SP80 and Neural Concept are collaborating to optimize ventilated hydrofoils profiles
SP80 testing on Lake Geneva (target SPeed: 80 knots) Neural Concept is on a mission to guide engineers towards radically better designs while speeding up their workflow....
The importance of uncertainty quantification for Deep Learning models in CAE
When issuing a prediction, one can question human or artificial intelligence on how much she/it is sure about the prediction. Without going into detail on the dramatic...
Deep Learning-based models for fast evaluations of airfoil performances in transonic flows
ISAE-Supaero, a world leader in aerospace engineering higher education in France, and Neural Concept, have developed a new approach to high Mach aircraft design. From an...
NCS to enhance the design of turbomachines
Turbomachines are very complex assemblies, which need to operate efficiently under a wide range of operating conditions. Simulation-driven design is now a key driver in the...
Training deep learning models efficiently on the cloud
1.Storing data efficiently on the cloud With Neural Concept Shape, you can use 3D numerical simulations as input to train your deep learning models. If we take the example...
Collaboration between Neural Concept and PSA
After evaluating the performance of Neural Network models on benchmark test cases (see Fig.1), PSA decided to push the collaboration further towards a real-time predictive model...
Miniswys uses Neural Concept Shape for the design optimization of customized ultrasonic actuators
Miniswys is a swiss company developing ultrasonic piezo-electric actuators to achieve precise bidirectional movements, reaching very large strokes with low driving voltage in...
Neural Concept SA and EPFL CVLab at NeurIPS 2020: “MeshSDF: Differentiable Iso-Surface Extraction.”
A joint paper of Neural Concept SA and EPFL CVLab will be presented as a Spotlight presentation at Presentation for Neural Information Processing Systems Conference (NeurIPS)...
NUMECA uses Neural Concept’s Deep Learning platform to study the nature of turbulence
The most significant challenge in all areas of applied fluid mechanics is posed by the lack of understanding and thus poor prediction capability of turbulence dependent features....
Collaboration of Neural Concept and Bosch on successful applications of 3D Deep Learning based surrogate models
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...
Top 100 Swiss Startup Award
Neural Concept was listed in the top 100 Swiss Startup Award 2020, organized by Venturelab on the 9th September 2020. It was an honour to be listed with the other Swiss Startups...
On Deep Learning and Multi-objective Shape Optimization
Optimization is a fundamental process in many scientific and engineering applications. Optimizing a function comprises searching its domain for an input that results in the...
10 SWISS ENGINEERING STARTUPS TO WATCH IN 2020
We are happy to announce that we were selected by VentureLab as one of the 10 Swiss engineering start-ups to watch in 2020! You can see the whole article on...
In-graph training loop
In a previous experiment, we have explored the behaviour and interaction between keras models, tf.functions, saved models and tf.dataset. A summary of this experiment is...
Deep Neural Network in simulations
Deep learning and AI in general have taken the entire field of computer science by storm and has now become the dominant approach to solving a wide array of problems, ranging...
Artificial Intelligence meets Aerodynamics – the Ultimate Drone
18 months ago, Neural Concept, EPFL (École polytechnique fédérale de Lausanne), senseFly and AirShaper teamed up for an academic research project to apply deep learning to...
NeuralSampler: Euclidean Point Cloud Auto-Encoder and Sampler
We propose an auto-encoder architecture that can both encode and decode clouds of arbitrary size and demonstrate its effectiveness at upsampling sparse point clouds....
SP80 will be using Neural Concept Shape
Early September 2019, the ultra aerodynamic bike we helped designing broke two world records of speed. It is with the same objective in mind that we are pleased to announce our...
Neural Concept and Airbus presenting their collaboration
Neural Concept is collaborating with Airbus to further accelerate their engineering process and to generate new design solutions across many kinds of problems in areas such as...
Neural Concept will be at the NAFEMS Conference
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...
Congratulations François!
Dr. François Fleuret Member of our board, Dr. François Fleuret, currently Senior Scientist at Idiap and head of the machine learning group, has been appointed Adjunct Professor...
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