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CORDIS - Resultados de investigaciones de la UE
CORDIS

SAFE AND EXPLAINABLE CRITICAL EMBEDDED SYSTEMS BASED ON AI

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

DL safety architectural patterns and platform (se abrirá en una nueva ventana)

Provides a consolidated analysis of recurrent AI/DL-safety problems and the definition of a set of DL-safety patterns based on the standards and ongoing initiatives studied in T2.1/T2.2, and tailored to the safe DL execution platform.

Case study stubbing and early assessment of case study porting (se abrirá en una nueva ventana)

Reports the specifications and the necessary stubbing made in each case study and an assessment on the impact it might have on the behaviour of the application. It also covers a status report on case study porting

Communication and Dissemination Plan (se abrirá en una nueva ventana)

Description of the communication and dissemination strategy, the activities to be undertaken to achieve this, and KPIs to monitor progress. Dissemination results will be reported in the periodic and final reports.

Initial communication and dissemination report (se abrirá en una nueva ventana)

Communication, dissemination and knowledge transfer activities until month 12 including the open communities and development environments where SAFEXPLAIN results will be disseminated.

Requirements, Success Criteria and platforms (se abrirá en una nueva ventana)

Report capturing the case study and FUSA standards requirements, the success criteria set for each milestone of the project, FUSA principles to consider in SAFEXPLAIN, and choices about the platform and the software stack

Exploitation Plan (se abrirá en una nueva ventana)

Description of the exploitation strategy, the activities to be undertaken to achieve this, and KPIs to monitor progress. Exploitation results and an updated exploitation plan will be provided in the periodic and final reports.

Gender and Equality Committee Report (se abrirá en una nueva ventana)

Document capturing the gender aspects during the project lifetime with the involvement of all partners. Updates to this report in m24 and m36

Interim Plattform Technologies Report (se abrirá en una nueva ventana)

This report captures the advancements done in T4.1-T4.4 by MS2. It will provide an assessment of the degree of completion in each of these tasks, and baseline technology where to integrate the case studies.

Project management plan and quality guidelines (se abrirá en una nueva ventana)

Document that defines the main project procedures (contractual framework, project governance, project monitoring, internal communication, etc.) as well as the standards and quality procedures to be used throughout the project. This handbook will also include a section on Gender Equality guidelines for monitoring and management measures and cohesion activities with the PPP on AI, Data and Robotics and the CSA HORIZON CL4-2021-HUMAN-01-02.

Specificability, explainability, traceability, and robustness proof-of-concept and argumentation (se abrirá en una nueva ventana)

Reports on (i) proposed AI specifications in correspondence with D2.1, (ii) Trustworthy and explainable AI architecture for dependable DL components and (iii) online safety supervision architecture. Also, it reports early specificability, explainability, traceability, and robustness arguments and requirements

Interim report on DL components and libraries (se abrirá en una nueva ventana)

Reports on the progress done on the implementation of the DL components and the usage of the framework to train the neural networks. It also covers the report on the low-level optimization libraries for the selected accelerators

Initial exploitation report (se abrirá en una nueva ventana)

Updated analysis of the exploitation context, business opportunities and exploitable results identifications, based on the requirements gathered at year 1 (m12).

Safety lifecycle considerations (se abrirá en una nueva ventana)

It establishes the initial selected safety techniques and restrictions to be addressed by WP3 and WP4 in: (i) DL-software specification, design and implementation (T2.1), and (ii) DL-software V&V (T2.2).

Publicaciones

Retrospective Uncertainties for Deep Models using Vine Copulas (se abrirá en una nueva ventana)

Autores: Tagasovska, Natasa; Ozdemir, Firat; Brando Guillaumes, Axel
Publicado en: Proceedings of Machine Learning Research, 2023, ISSN 2640-3498
Editor: MLResearchPress
DOI: 10.48550/arxiv.2302.12606

SAFEXPLAIN: Safe and Explainable Critical Embedded Systems Based on AI (se abrirá en una nueva ventana)

Autores: Jaume Abella; Jon Perez; Cristofer Englund; Bahram Zonooz; Gabriele Giordana; Carlo Donzella; Francisco J. Cazorla; Enrico Mezzetti; Isabel Serra; Axel Brando; Irune Agirre; Fernando Eizaguirre; Thanh Hai Bui; Elahe Arani; Fahad Sarfraz; Ajay Balasubramaniam; Ahmed Badar; Ilaria Bloise; Lorenzo Feruglio; Ilaria Cinelli; Davide Brighenti; Davide Cunial
Publicado en: 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2023, ISSN 1558-1101
Editor: IEEE
DOI: 10.23919/date56975.2023.10137128

Standardizing the Probabilistic Sources of Uncertainty for the sake of Safety Deep Learning

Autores: Brando, Axel; Serra, Isabel; Mezzetti, Enrico; Cazorla Almeida, Francisco Javier; Abella Ferrer, Jaume
Publicado en: Proceedings of the Workshop on Artificial Intelligence Safety 2023 (SafeAI 2023) co-located with the Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023), 2023, ISSN 1613-0073
Editor: CEUR Workshop Proceedings

Computer (se abrirá en una nueva ventana)

Autores: Axel Brando; Isabel Serra; Enrico Mezzetti; Francisco J. Cazorla; Jon Perez-Cerrolaza; Jaume Abella
Publicado en: Computer, 2023, ISSN 0018-9162
Editor: IEEE
DOI: 10.1109/mc.2023.3236523

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