AIOPEN - Platform extensions with AI capabilities

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F23%3A10254433" target="_blank" >RIV/61989100:27740/23:10254433 - isvavai.cz</a>

Result on the web

<a href="https://www.researchgate.net/publication/375422554_AIOPEN_-PLATFORM_EXTENSIONS_WITH_AI_CAPABILITIES" target="_blank" >https://www.researchgate.net/publication/375422554_AIOPEN_-PLATFORM_EXTENSIONS_WITH_AI_CAPABILITIES</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.2760/46796" target="_blank" >10.2760/46796</a>

Result language

angličtina

Original language name

AIOPEN - Platform extensions with AI capabilities

Original language description

The AIOPEN project will combine and extend the existing platform framework Automated Service Builder (ASB), Open Interoperable Platform for Unified Access &amp; Analysis of EO Data (EOPEN) and EO Exploitation Platform Common Architecture (EOEPCA) with Artificial Intelligence (AI) and Machine Learning (ML) capabilities. The resulting platform, AIOPEN, recognises the need for and will have new and innovative services based on established AI/ML software capabilities to provide the users with a solution that supports the end-to-end AI model development lifecycle. AIOPEN, hosted in the ONDA Data and Information Access Service (DIAS), can perform activities such as training AI models or labelling data. AIOPEN brings together (a) the processing and data access capabilities, (b) the users interested in offering training datasets and AI/ML models, (c) and the EO science and application development community. The service will allow versioning, sharing and customising the various AI/ML resources and provide the tools to integrate and exploit the AI/ML models in new applications.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

—

Continuities

N - Vyzkumna aktivita podporovana z neverejnych zdroju

Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of the 2023 Conference on Big Data from Space, 6-9 November 2023, Vienna, Austria

ISBN

978-92-68-08696-4

ISSN

—

e-ISSN

—

Number of pages

433

Pages from-to

257-260

Publisher name

Publications Office of the European Union

Place of publication

Lucemburk

Event location

Vídeň

Event date

Nov 6, 2023

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

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