Project deliverable

D1.1 - State of the Art Analysis

Uploaded on: 30 Jun 2021

The aim of the AI-SPRINT “Artificial intelligence in Secure PRIvacy-preserving computing coNTinuum” project is to develop a platform composed of design and runtime management tools to seamlessly design, partition and operate Artificial Intelligence (AI) ap..

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Project deliverable

D1.2 - Requirements Analysis

Uploaded on: 30 Jun 2021

D1.2 summarizes the initial requirements analysis of the AI-SPRINT project. The outcome of this analysis is a list of requirements for all tools which will be evolved or developed within the project. This analysis will guide all the AI-SPRINT technical activit..

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Project deliverable

D1.3 - Initial design of the architecture

Uploaded on: 30 Jun 2021

This document, developed by the AI-SPRINT project, represents an initial version of the platform Architecture deliverable (the final due at M24) that offers an overview of the architectural design. The focus of this document is the identification of different ..

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Project deliverable

D2.1 - First release and evaluation of the AI-SPRINT design tools

Uploaded on: 22 Dec 2021

The aim of the AI-SPRINT project is to implement a design and runtime framework to accelerate the development of AI applications whose components are spread across the edge-cloud computing continuum. AI-SPRINT tools will allow trading-off application performan..

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Project deliverable

D3.1 - First release and evaluation of the runtime environment

Uploaded on: 19 Dec 2021

This document describes the first release and evaluation of the runtime environment developed by the AISPRINT project, while the second release and evaluation of the runtime environment (D3.3) is due at M24. It describes the components involved in this first r..

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Project deliverable

D3.2 - First release and evaluation of the monitoring system

Uploaded on: 22 Dec 2021

This document, developed by the AI-SPRINT project, describes the first release and evaluation of the monitoring subsystem. The final release and evaluation of the monitoring subsystem is due at M24. The document describes the components involved in monitoring ..

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Project deliverable

D4.1 - Initial Release and Evaluation of the Security Tools

Uploaded on: 24 Dec 2021

This document describes the first release and evaluation of the security tools developed by the AI-SPRINT project, while the second release and evaluation of the security tools are due at M24. The focus of this document is to describe the components involved i..

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Project deliverable

D5.1 - Evaluation Plan

Uploaded on: 27 Dec 2021

Use cases are a joint effort involving all elements of the AI-SPRINT Consortium, i.e., end users, integrators, research partners, and the cloud provider. End users provide the actual use cases and related expertise, as well as experience in the evaluation of o..

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Project deliverable

D5.2 - Use case implementation plan

Uploaded on: 22 Dec 2021

The purpose of the use cases implementation phase is to evaluate AI-SPRINT assets by using them to achieve business and technical goals specific to the use case. So the implementation strategy strongly depends on availability of AI-SPRINT assets. Since various..

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Project deliverable

D6.1 - Communication, dissemination & stakeholder engagement - 1st report

Uploaded on: 30 Jun 2021

This first AI-SPRINT Communication, Dissemination and Stakeholder Engagement report sets out the strategy for the first 18 months of the project in terms of communicating its goals, outputs and impacts, describing how it is sharing its results and building a c..

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Project deliverable

D6.2 – Market Outlook and Forecast Report

Uploaded on: 28 Dec 2021

This deliverable, which is the first release of the market analysis and forecast report for AI-SPRINT, provides a detailed assessment of the market status-quo and market forecast for edge computing with a specific focus on AI and other enabling technologies. I..

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Project deliverable

D7.2 - Quality Management Plan

Uploaded on: 30 Jun 2021

This deliverable summarizes the approach taken toward ensuring high quality in the AI-SPRINT project. The document will tackle multiple domains of quality management: technical activities, project management and communication, and deliverables production. Fina..

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Project deliverable

D7.3 - Data Management Plan

Uploaded on: 30 Jun 2021

This document is “D7.3 Data Management Plan” (DMP) of the H2020 AI-SPRINT Project aims to set the lifecycle management plan for handling research data that will be collected, generated, and/or processed within the project according to the “FAIR data” a..

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Project deliverable

D7.7 – Ethics guidelines

Uploaded on: 30 Dec 2021

The project activities are not likely to raise ethics issues, as indicated in the Annex I of the Grant Agreement. No clinical trials are foreseen, and project activities do not raise concerns of dual use. However, AI-SPRINT is a collaborative research project ..

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