Opendata, web and dolomites

GRAPES SIGNED

learninG, pRocessing, And oPtimising shapES

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 GRAPES project word cloud

Explore the words cloud of the GRAPES project. It provides you a very rough idea of what is the project "GRAPES" about.

15    benchmark    prototype    bridge    notch    multimedia    concerning    solved    datasets    optimisation    spectrum    gain    theoretical    game    data    planning    generation    respective    optimising    3d    either    manufacturing    grapes    machine    marine    network    commercial    urgently    2d    forming    visualisation    source    tools    span    aided    shape    geometry    learning    computer    retrieval    hosting    algorithm    training    lags    nexus    smes    severely    printing    young    mining    indispensable    deep    multisectoral    libraries    intersectoral    software    transfer    beneficiary    despite    domains    reconstruction    implementations    shapes    candidates    active    leaders    considerably    fabrication    multidisciplinary    instrumental    associate    scientists    mathematical    relies    disciplines    automation    track    computational    follow    underlying    workshops    geometric    cad    esr    innovation    phd    numerical    simulation    secondments    industry    engineers    urban    horizontally    science    scientific    driving    participation    life    mathematics    changing    everyday    gap    autonomous    hydrodynamics    generating    advancing    principles   

Project "GRAPES" data sheet

The following table provides information about the project.

Coordinator
ATHINA-EREVNITIKO KENTRO KAINOTOMIAS STIS TECHNOLOGIES TIS PLIROFORIAS, TON EPIKOINONION KAI TIS GNOSIS 

Organization address
address: ARTEMIDOS 6 KAI EPIDAVROU
city: MAROUSSI
postcode: 151 25
website: www.athena-innovation.gr

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Greece [EL]
 Total cost 3˙972˙761 €
 EC max contribution 3˙972˙761 € (100%)
 Programme 1. H2020-EU.1.3.1. (Fostering new skills by means of excellent initial training of researchers)
 Code Call H2020-MSCA-ITN-2019
 Funding Scheme MSCA-ITN-ETN
 Starting year 2019
 Duration (year-month-day) from 2019-12-01   to  2023-11-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    ATHINA-EREVNITIKO KENTRO KAINOTOMIAS STIS TECHNOLOGIES TIS PLIROFORIAS, TON EPIKOINONION KAI TIS GNOSIS EL (MAROUSSI) coordinator 486˙035.00
2    UNIVERSITA DELLA SVIZZERA ITALIANA CH (LUGANO) participant 562˙553.00
3    INSTITUT NATIONAL DE RECHERCHE ENINFORMATIQUE ET AUTOMATIQUE FR (LE CHESNAY CEDEX) participant 549˙604.00
4    UNIVERSITAT DE BARCELONA ES (BARCELONA) participant 501˙809.00
5    UNIVERSITY OF STRATHCLYDE UK (GLASGOW) participant 303˙172.00
6    SINTEF AS NO (TRONDHEIM) participant 292˙342.00
7    GEOMETRY FACTORY SARL FR (GRASSE) participant 274˙802.00
8    UNIVERSITAT LINZ AT (LINZ) participant 264˙207.00
9    UNIVERSITA DEGLI STUDI DI ROMA TOR VERGATA IT (ROMA) participant 261˙499.00
10    RHEINISCH-WESTFAELISCHE TECHNISCHE HOCHSCHULE AACHEN DE (AACHEN) participant 252˙788.00
11    VILNIAUS UNIVERSITETAS LT (VILNIUS) participant 223˙947.00

Map

 Project objective

GRAPES aims at considerably advancing the state of the art in Mathematics, Computer-Aided Design, and Machine Learning in order to promote game changing approaches for generating, optimising, and learning 3D shapes, along with a multisectoral training for young researchers. Recent advances in the above domains have solved numerous tasks concerning multimedia and 2D data. However, automation of 3D geometry processing and analysis lags severely behind, despite their importance in science, technology and everyday life, and the well-understood underlying mathematical principles. The CAD industry, although well established for more than 20 years, urgently requires advanced methods and tools for addressing new challenges.

The scientific goal of GRAPES is to bridge this gap based on a multidisciplinary consortium composed of leaders in their respective fields. Top-notch research is also instrumental in forming the new generation of European scientists and engineers. Their disciplines span the spectrum from Computational Mathematics, Numerical Analysis, and Algorithm Design, up to Geometric Modelling, Shape Optimisation, and Deep Learning. This allows the 15 PhD candidates to follow either a theoretical or an applied track and to gain knowledge from both research and innovation through a nexus of intersectoral secondments and Network-wide workshops.

Horizontally, our results lead to open-source, prototype implementations, software integrated into commercial libraries as well as open benchmark datasets. These are indispensable for dissemination and training but also to promote innovation and technology transfer. Innovation relies on the active participation of SMEs, either as a beneficiary hosting an ESR or as associate partners hosting secondments. Concrete applications include simulation and fabrication, hydrodynamics and marine design, manufacturing and 3D printing, retrieval and mining, reconstruction and visualisation, urban planning and autonomous driving.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "GRAPES" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "GRAPES" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.1.3.1.)

SuperCol (2020)

SuperCol: Rational design of super-selective and responsive colloidal particles for biomedical applications

Read More  

Shape-IT (2019)

Supporting the interaction of Humans and Automated vehicles: Preparing for the EnvIronment of Tomorrow

Read More  

NL4XAI (2019)

Interactive Natural Language Technology for Explainable Artificial Intelligence

Read More