HORIZON EUROPE
European
ExpectedOutcome:
Project results are expected to contribute to some of the following expected outcomes:
improved acquisition, quality, interoperability and analysis of imaging data from different disciplines (e.g.: health & food, climate and environmental research, digital transformation);wider use of image analysis services based on AI in different scientific areas.
Scope:The availability of high-performance image analysis tools, including those based on AI, through the provision of RI services, has a great potential to improve the use of image data for research purposes. These services enable better use of imaging data by aligning data formats, ensuring better data quality and noise reduction, improving interoperability, applying advanced data analysis, interpretation and potentially visualisation, as well as by integrating imaging data with other data sets of different types.
Use of artificial intelligence as enabler for better exploitation of data sets for research queries will be an important contribution from research infrastructures to the Commission’s AI strategy proposed in the Commission’s White Paper On Artificial I...
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ExpectedOutcome:
Project results are expected to contribute to some of the following expected outcomes:
improved acquisition, quality, interoperability and analysis of imaging data from different disciplines (e.g.: health & food, climate and environmental research, digital transformation);wider use of image analysis services based on AI in different scientific areas.
Scope:The availability of high-performance image analysis tools, including those based on AI, through the provision of RI services, has a great potential to improve the use of image data for research purposes. These services enable better use of imaging data by aligning data formats, ensuring better data quality and noise reduction, improving interoperability, applying advanced data analysis, interpretation and potentially visualisation, as well as by integrating imaging data with other data sets of different types.
Use of artificial intelligence as enabler for better exploitation of data sets for research queries will be an important contribution from research infrastructures to the Commission’s AI strategy proposed in the Commission’s White Paper On Artificial Intelligence - A European approach to excellence and trust (COM(2020) 65 final). Proposals under this topic bring together several complementary and interdisciplinary RIs to provide trans-national access (in-person, when the user visits the infrastructure to make use of it or remote access) and/or virtual access to integrated and customised RI services for challenge-driven research and innovation. Access also includes ad hoc users’ training and scientific and technical support. Harmonisation, customisation and virtualisation of RI services will also be supported.
Successful proposals will offer services, including AI-based services for improved analysis of imaging data in different thematic areas (e.g. environmental monitoring, life sciences, chemistry, physics,...). Appropriate links and complementarities must be ensured with the existing AI4EU platform[1] and relevant activities under Pillar II of Horizon Europe.
AI-based tools and services will make use of the EOSC commons as working environment where these tools, services and relevant data sets will be made findable and accessible for use, thus making EOSC operational for the delivery of research infrastructure data services for thematic research challenges.
Cross-cutting Priorities:Co-programmed European PartnershipsEOSC and FAIR data
[1]https://www.ai4eu.eu/
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Consortium characteristics
:
The aid is European, you can apply to this line any company that is part of the European Community.
characteristics of the Proyecto
Expenses related to personnel working directly on the project are based on actual hours spent, based on company costs, and fixed ratios for certain employees, such as the company's owners.
Payments to external third parties to perform specific tasks that cannot be performed by the project beneficiaries.
They include the acquisition of equipment, amortization, material, licenses or other goods and services necessary for the execution of the project
Miscellaneous expenses such as financial costs, audit certificates or participation in events not covered by other categories
Overhead costs not directly assignable to the project (such as electricity, rent, or office space), calculated as a fixed 25% of eligible direct costs (excluding subcontracting).
Characteristics of financing
Additional information about the call
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