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Content archived on 2024-06-18

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.

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: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.

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Call for proposal

FP7-PEOPLE-2013-IAPP
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Coordinator

THE PROVOST, FELLOWS, FOUNDATION SCHOLARS & THE OTHER MEMBERS OF BOARD, OF THE COLLEGE OF THE HOLY & UNDIVIDED TRINITY OF QUEEN ELIZABETH NEAR DUBLIN
EU contribution
€ 351 921,35
Address
COLLEGE GREEN TRINITY COLLEGE
D02 CX56 Dublin
Ireland

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Region
Ireland Eastern and Midland Dublin
Activity type
Higher or Secondary Education Establishments
Links
Total cost
No data

Participants (2)

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