CORDIS - EU research results
CORDIS

AN AI ON-DEMAND PLATFORM TO SUPPORT RESEARCH EXCELLENCE IN EUROPE

Deliverables

Integrative Planning Strategy (v1)

Integration and evaluation processes and WG suggestions Two versions of the report

Project management handbook

Report on all project structures and processes critical risks and management processes

Benchmarking Strategy

The benchmarking strategy execution sustainability and next steps will be described here

Platform Architecture Report and User Guide (v1)

The architecture will be redesigned to reach a better impact and deployable and extendable by researchers The update will present the final architecture with an operation guide

Knowledge Representation Report (v1)

Data translation ontologies and implementation will be provided to be extended by other projects and platforms of the research community

Research Community Engagement Strategy (v1)

The strategy for engagement of the research community will be presented at M8 and later extended with the reporting on activities related to PhD engagement inclusion actions and joint efforts with NoEs JRC and lighthouse

Dissemination, Exploitation, and Communication Plan (v1)

A report on dissemination communication and exploitation and assessment of activities

Software Developer Resources (v1)

First versions of the developer resources Two iterations

Publications

ChatGPT v Bard v Bing v Claude 2 v Aria v human-expert. How good are AI chatbots at scientific writing?

Author(s): Lozić, Edisa; Štular, Benjamin
Published in: Future Internet, 2023, ISSN 1999-5903
Publisher: MDPI
DOI: 10.48550/arxiv.2309.08636

Encouraging AI Adoption by SMEs: Opportunities and Contributions by the ICT49 Project Cluster

Author(s): Ourania Markaki, Aikaterini Papapostolou, Spiros Mouzakitis, Izabela Zrazinska, Urszula Sobek, Thomas Wilczek, Antonis Troumpoukis, Xenia Ziouvelou, Vangelis Karkaletsis, Alexandra Carrasco Szulc, Miriam Garcia, Gabriele Röger, Andrea Micheli, Jaime Aless
Published in: IISA2023 Conference, 2022, ISSN 1803-7232
Publisher: IEEE
DOI: 10.1109/IISA59645.2023.10345867

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