CORDIS provides links to public deliverables and publications of HORIZON projects.
Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .
Deliverables
Document outlining the roadmap for impact
Mid-project revision of the Data Management Plan (opens in new window)Mid-project update (revision) of the Data Management Plan.
Requirements, use-case scenarios, specification and architecture (opens in new window)Report describing the collected requirements and specification for use cases
Project reference manual (quality, risks and contingency plans) (opens in new window)Reference manual for the project created at its start
Collaboration, clustering and standardization activities - halfway report (opens in new window)Document outlining collaborative and clustering efforts and standardization activities - halfway report.
Business and sustainability analysis and planning - halfway report (opens in new window)Document reporting halfway analysis of business and sustainability
Virtual training framework and environment for brain-like AI models - stage I (opens in new window)Report on the development and validation of the proposed virtual framework for training brain-like neural networks (AI models) - first stage
Ethics Advisor's report 1 (opens in new window)First report prepared by the external independent Ethics Advisor
Design, training, validation and deployment of brain-like neural networks in flexible learning scenarios (opens in new window)Report on the initial development of brain-like neural networks and their validation in various flexible learning scenarios.
Data processing pipeline for data optimisation, explainability and federated learning - stage I (opens in new window)Report on data processing pipelines with emphasis on the data optimisation and visualisation/explainability (stage I)
Explainable, trustworthy, transparent and ethical brain-like AI methods - stage I (opens in new window)Report on the development of techniques for incorporating the explainability, trustworthiness and transparency criteria for data and models - introductory stage (outline)
Use-case implementation planning and evaluations - first stage (opens in new window)Report on implementation, execution and evaluation of use cases - first stage (focus on implementation and validation)
Ethics Advisor_It is not fully clear how the participants of the co-design, co-creation and evaluation activities will be recruited.The actual extent of personal data collection and processing is also not sufficiently described, since it is planned to integrate SSH disciplines such religious viewpoints for understanding the application areas, phycological, legal, and sociological aspects considering intersectional factors (gender, ethnicity, age, socioeconomic status, disability) (DoA Part B, page 19), while it is also stated in the self-assessment that information regarding race, gender, religion or political orientation will never be requested. Thus, it should be explained how all of the data intended to be processed in the project is relevant and limited to the purposes of the research project (in accordance with the ‘data minimisation ‘principle).The AI to be developed/used in the project may lead to discrimination of people, potential bias, social or economic disadvantage especially in the AI for Digital Finance sector (DoA Part B, page 16) where solutions are provided despite the lack of adequate quantity of training datasets. Therefore, the ethics risks related to the development/deployment of the AI systems/techniques should be evaluated more thoroughly and mitigation plans for potential negative social impacts should be considered.An independent Ethics Advisor should be appointed with a mandate to oversee the project activities, in particular task T1.4 and provide relevant requirements with regards to participation of humans, personal data protection and AI. Reports prepared by the external independent Ethics Advisor must be submitted as deliverables in M12 and 24.The applicant is invited to send the CV of the suggested Ethics Advisor and discuss their appointment with the Project Officer as soon as possible after the start of the action. Guidance for Ethics Advisors/Boards can be found under the European Commission Funding and Tenders portal.
Data Management Plan
Publications
Author(s):
Naresh Ravichandran; Anders Lansner; Anders Lansner; Pawel Herman; Pawel Herman; Pawel Herman
Published in:
Frontiers in Neuroscience, 2024, ISSN 1662-453X
Publisher:
Frontiers in Neuroscience
DOI:
10.48550/ARXIV.2406.03054
Author(s):
Christyan Cruz Ulloa, Jaime Del Cerro, Antonio Barrientos
Published in:
Jornadas de Automática, 2024, ISSN 3045-4093
Publisher:
Universidade da Coruna
DOI:
10.17979/JA-CEA.2024.45.10830
Author(s):
N. Chrysanthidis; F. Fiebig; A. Lansner; P. Herman
Published in:
Scientific Reports, 2025, ISSN 2045-2322
Publisher:
Nature Publishing Group
DOI:
10.1038/S41598-025-12611-5
Author(s):
Naresh Ravichandran, Anders Lansner, Pawel Herman
Published in:
Neurocomputing, Issue 626, 2025, ISSN 0925-2312
Publisher:
Elsevier BV
DOI:
10.1016/J.NEUCOM.2025.129440
Author(s):
Muhammad Ihsan Al Hafiz, Naresh Ravichandran, Anders Lansner, Pawel Herman, Artur Podobas
Published in:
Lecture Notes in Computer Science, Applied Reconfigurable Computing. Architectures, Tools, and Applications, 2025
Publisher:
Springer Nature Switzerland
DOI:
10.1007/978-3-031-87995-1_12
Author(s):
Cruz, C., Guijarro Tolón, J., del Cerro, J., Barrientos, A.
Published in:
2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025
Publisher:
2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
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