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Use of Graphics Rendering and Artificial Intelligence for Improved Mobile Search Capabilities

Objective

The principal aim of this project is to develop and apply revolutionary graphics rendering and artificial intelligence (AI) methods to an existing social media search engine platform (known as Tapastreet) thereby creating ground breaking mobile search capabilities with significant online commercial potential.
Specifically these goals will be achieved by meeting the following Scientific & Technological Objectives – (a) the creation of dynamic graphics rendering algorithms (b) the development of powerful location based AI machine learning algorithms and (c) integration of both these technologies into a live geo-located social media search engine.

Field of science

  • /natural sciences/computer and information sciences/artificial intelligence
  • /natural sciences/computer and information sciences/software/application software/graphic design
  • /natural sciences/computer and information sciences/artificial intelligence/machine learning

Call for proposal

FP7-PEOPLE-2013-IAPP
See other projects for this call

Funding Scheme

MC-IAPP - Industry-Academia Partnerships and Pathways (IAPP)

Coordinator

THE PROVOST, FELLOWS, FOUNDATION SCHOLARS & THE OTHER MEMBERS OF BOARD OF THE COLLEGE OF THE HOLY & UNDIVIDED TRINITY OF QUEEN ELIZABETH NEAR DUBLIN
Address
College Green
2 Dublin
Ireland
Activity type
Higher or Secondary Education Establishments
EU contribution
€ 351 921,35
Administrative Contact
Deirdre Savage (Ms.)

Participants (2)

TAPASTREET LIMITED
Ireland
EU contribution
€ 692 932,94
Address
Dame Street 36
2 Dublin
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Administrative Contact
Joseph Mitchell (Mr.)
INSTITUT NATIONAL DES SCIENCES APPLIQUEES DE LYON
France
EU contribution
€ 443 542,55
Address
20 Avenue Albert Einstein
69621 Villeurbanne Cedex
Activity type
Higher or Secondary Education Establishments
Administrative Contact
Françoise Martin (Mrs.)