AI4Europe
Principal Investigator at ZRC SAZU
Edisa Lozić, PhD-
Original Title
AI4Europe
Project Team
Benjamin Štular, PhD, Mateja Belak-
Project ID
101070000
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Duration
1 July 2022–31 December 2025 -
Lead Partner
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Project Leader
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Financial Source
Horizon Europe / European Union
Partners
University College Cork, Orebro University, Kempelen Institute of Intelligent Technologies, Instituto Tecnologico de Informatica, Telenor ASA, National Center for Scientific Research “Demokritos”, Universidad De Zaragoza, Deutsches Forschungszentrum Fur Kunstliche Intelligenz Gmbh, Stichting EGI, EIT Digital, Fraunhofer Gesellschaft Zur Foerderung Der Angewandten Forschung E.V., Aristotle University of Thessalonik, Alma Mater Studiorum – Universita Di Bologna, Aalto Korkeakoulusaatio Sr, Barcelona Supercomputing Center-Centro Nacional De Supercomputacion, Eindhoven University of Technology, UiT The Arctic University of Norway , F6S Network Ireland, Globaz, S.A., European DIGITAL SME Alliance, Universite De Paris, Leiden Universit, Institute e-Austria Timisoara
AI4Europe project's mission is to further drive the technical development of the AI-on-Demand (AIOD) platform and build a supportive community to add value to the AI research community. The project has nine core objectives divided into three areas (see image).
The AIOD platform has been under development since 2019 and with AI4Europe it started a new development cycle under intended to serve as a resource to promote European research and innovation in AI. The objective of the platform is to support all solutions and tools that contribute to the ecosystem of excellence and the ecosystem of trust. It will mature to add AI assets and tools that can be used by the wider community to upskill and share knowledge with innovation sectors. It will provide new services and a marketplace for non-experts to experiment with and use AI solutions in their own work.
The AIOD platform is a community resource and its success depends on the active engagement of end users. The platform is therefore open to any individual or organisation interested in technically developing aspects of the platform, leading or contributing to various components, sharing research outputs or simply sharing news updates or information about upcoming events. There are many opportunities to contribute and help shape the direction and features of the AIOD platform in the years to come.
Cultural heritage, and by extension archaeology, was envisaged from the outset as one of the eleven 'industrial verticals' (user domains) of AIOD. However, this is the first time that it has been included as one of the "model verticals" (case studies). The goal of the cultural heritage model vertical is to showcase success stories and how content can be presented most effectively. In addition, we want to identify the needs of cultural heritage in general to identify where new research can be applied. Ultimately, the aim is to build and foster a cultural heritage community within the AIOD platform.
ZRC SAZU and our PI Edisa Lozić lead the project's efforts in the cultural heritage domain. We are involved in work packages 1, 3, 6, and 7.
Articles
- LOZIĆ Edisa, ŠTULAR Benjamin, Low-code and ai-augmented Code for an Archaeological Database: Arkas 2.0. − Research Data Journal for the Humanities and Social Sciences (published online ahead of print 2024). DOI: https://doi.org/10.1163/24523666-bja10037
- LOZIĆ Edisa, ŠTULAR Benjamin, Data Conversations Made Easy: Build-my-RAG (24 April 2024).
- LOZIĆ Edisa, ŠTULAR Benjamin, Fluent but Not Factual: A Comparative Analysis of ChatGPT and Other AI Chatbots' Proficiency and Originality in Scientific Writing for Humanities. − Future Internet 15, 2023, 336.DOI: https://doi.org/10.3390/fi15100336.
- LOZIĆ, Edisa, ŠTULAR, Benjamin, GONZÁLEZ-CASTAÑÉ, Gabriel, AI-on-Demand (AIOD) platform and its uses for cultural heritage. CAA2023 [Elektronski vir] : 50 years of synergy: Amsterdam, 3-6 April 2023 : abstract book (Str. 161-162). COBISS.SI-ID - 150659331 https://2023.caaconference.org/wp-content/uploads/sites/29/2023/04/abstract_book_v13.p
Tools
- Data Conversations Made Easy: Build-my-RAG
- ArkasAI Data Analyst. Analyse archaeological sites of Slovenia
- OLiT-T: Open LiDAR Toolbox Tutor
Events
Data conversations made easy; Atrij ZRC SAZU, 27 May 2024