Public Deliverables

• GitHub - MANOLO Repository
• Zenodo - MANOLO Community
• D1.1 Trustworthy Efficient AI for the Cloud-edge Deep Dive This report was developed within the context of the MANOLO project, funded by the European Union’s Horizon Europe Framework Programme for Research and Innovation 2021-2027, to shed light on (i) the Cloud-Edge Continuum (CEC) as a new trend, (ii) its needs and challenges in terms of efficient and trustworthy AI; (iii) available or forthcoming technological solutions; (iv) key actors (industry, policy and research arena); and (v) openly available resources for extending research activities.
• D1.2 MANOLO Architecture, and Benchmarking framework v.1 This deliverable outlines the initial architecture of the MANOLO framework, library and toolset, which includes the Benchmarking framework. This architecture has been created to fulfil the project's objectives and be applicable to any kind of domain, while being validated via three use cases.
• D1.3 MANOLO Architecture, and Benchmarking framework v.2 This deliverable outlines the second version of the architecture of the MANOLO framework, library and toolset which includes the Benchmarking framework.
• D2.1 Data Inspection and Generation v.1 This report documents research & development work carried out in WP2 during Phase 2 MANOLO Framework Implementation of the project’s workplan. This work comprises the development of the following MANOLO library components: • The Data Operations Manager • The Data Quality Estimation Component • The Data Distillation and Synthesis Component
• D4.1 Cloud-edge resources, infrastructure, and AI models mapping v.1 This deliverable presents the progress of the MANOLO WP4 components, produced by the MANOLO WP4 and use case partners, to describe an architecture that can fulfil the project's objectives and use cases and document the technical requirement of each component. This document also aims to align all Consortium partners on a clarified workflow to understand the intra-, and inter-components communication for all WP4 modules, as well as aligning the architecture with the use cases.
• D5.1 Trustworthy Efficiency-Performance Assessment v.1 This deliverable presents the first in-depth evaluation of the MANOLO benchmarking and system’s performance with a focus on energy efficiency, model robustness, trustworthiness and performance. This report outlines the initial benchmarking framework and methodological tools designed to assess AI models operating within the MANOLO architecture (see Deliverable 1.3), which spans both cloud and edge environments.
• D6.1 Use Cases Design and Deployment Plans The MANOLO project explores innovative methodologies and applications of cloud-edge artificial intelligence (AI) to enhance human-centred, trustworthy, and energy-efficient AI systems. This report documents the initial outcomes of designing and deploying use cases within the MANOLO architectural framework.
• D7.1 Dissemination & Communication Plan & Activities v.1 The document describes the overall communication activities and awareness-raising, dissemination of project results, management of all relevant activities, and partners’ responsibilities in this respect. It includes specific actions and activities that will be carried out by the MANOLO consortium members in order to ensure success and maximum publicity for the project and its results.
• D7.2 Dissemination & Communication Plan & Activities v.2 This document constitutes the second version of the MANOLO project's Dissemination and Communication Plan (DCP). Describes the updated communication strategy, including awareness-raising, dissemination of project results, management of all relevant activities, and partners’ responsibilities in this respect. It incorporates the actions that have been undertaken under T7.1 and T7.4 regarding dissemination, communication, synergies, and knowledge-sharing activities of the project, including specific qualitative and quantitative targets and activities that were carried out by the MANOLO partners in order to ensure success and maximum publicity for the project and its results.
• D8.2 Data Management Plan v.1 This document constitutes the initial version of the Data Management Plan (DMP) and has been elaborated as a deliverable (D8.2) in the framework of the MANOLO project.
• D8.3 Data Management Plan v.2 This document constitutes the interim version of the Data Management Plan (DMP) in the framework of the MANOLO project.