Project description
A deep-learning approach to make the engineer's life easier
With new technologies being developed every day, companies need new tools to improve existing designs without engineers having to spend more time to produce good and accurate results. Swiss company Neural Concept is developing NeuralShape, the first deep-learning system to improve engineers' work. The system will allow engineers to save time, energy and money, while providing optimal design choices with very precise results. The EU-funded NeuralShape project will work on optimising the software and scaling up the technology to address the technical needs of different European markets, targeting engineering companies as well as aerospace and green energy manufacturers.
Objective
With the new technologies’ development and the large-scale adoption of autonomous and electric cars, drones, as well as humanity´s quest for green energy, new designs become much more sophisticated, with complex simulations, producing vast amounts of data. This, as a results force tools like CAD and CFD to be rethought. Companies need new tools to improve existing designs without engineers having to spend more time to make a good and accurate design. At Neural Concept (a Swiss company founded in 2017) we have develop a solution to overcome these needs: NeuralShape, the first deep learning system to improve the engineers´work. With NeuralShape Engineers will save time, energy and economical cost, while providing optimal design choices with very precise results. Based on the good performance of our prototypes being currently tested for different business cases (UAV, hydrofoil and speed bicycle), we aim to optimize the software and scale-up technology to fulfil the technical needs of different European markets. This CAD and CFD market is expected to be €6.5B by 2021 (CAGR 7%). Our customers will be engineering companies as well as Engine Automotive, Aeroespace and Green energy manufacturers. €6M sales projection has been estimated for the third year of commercialization.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences software
- engineering and technology environmental engineering energy and fuels renewable energy
- engineering and technology mechanical engineering vehicle engineering aerospace engineering aircraft
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering robotics autonomous robots drones
- natural sciences computer and information sciences artificial intelligence machine learning deep learning
You need to log in or register to use this function
We are sorry... an unexpected error occurred during execution.
You need to be authenticated. Your session might have expired.
Thank you for your feedback. You will soon receive an email to confirm the submission. If you have selected to be notified about the reporting status, you will also be contacted when the reporting status will change.
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
-
H2020-EU.2.3. - INDUSTRIAL LEADERSHIP - Innovation In SMEs
MAIN PROGRAMME
See all projects funded under this programme -
H2020-EU.3. - PRIORITY 'Societal challenges
See all projects funded under this programme -
H2020-EU.2.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies
See all projects funded under this programme
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
SME-1 - SME instrument phase 1
See all projects funded under this funding scheme
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-EIC-SMEInst-2018-2020
See all projects funded under this callCoordinator
Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
1015 LAUSANNE
Switzerland
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.