Other Published on: 10 Oct 2023
Niccolò Zazzeri
AI-SPRINT, the "Artificial Intelligence in Secure PRIvacypreserving computing coNTinuum" project, offers an innovative framework equipped with cutting-edge design and runtime management tools. Our solutions empower businesses to&nbs.. Read more
117 Views87 Downloads
Other Published on: 13 Jul 2023
Michał Kłosiński; Edward Mier-Jędrzejowicz
On 11 July 2023, the AI-SPRINT project has organised the webinar "Transforming Wind Turbine Maintenance: AI-SPRINT's Predictive Insights and Edge-Cloud Integration". The event aimed to showcase the AI-SPRINT project's use case on.. Read more
141 Views54 Downloads
Other Published on: 13 Jul 2023
Danilo Ardagna
On 11 July 2023, the AI-SPRINT project has organised the webinar "Transforming Wind Turbine Maintenance: AI-SPRINT's Predictive Insights and Edge-Cloud Integration". The event aimed to showcase the AI-SPRINT project's use case on.. Read more
104 Views39 Downloads
Project deliverable Published on: 30 Dec 2021
Fabrizio Amarilli
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 rese.. Read more
174 Views106 Downloads
Project deliverable Published on: 28 Dec 2021
Gabriele Roberti; Alexandra Rotaru; Golboo Pourabdollahian; Luca Butiniello; Lorenzo Veronesi; Gaurav Verma; Adriana Allocato; Giorgio Micheletti; Nevena Raczko; Mike Glennon; Marianne Kolding; Martin Sundblad
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.. Read more
180 Views97 Downloads
Project deliverable Published on: 27 Dec 2021
Matteo Matteucci
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 ev.. Read more
152 Views169 Downloads
Project deliverable Published on: 24 Dec 2021
André Martin; Giacomo Verticale
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 component.. Read more
175 Views99 Downloads
Project deliverable Published on: 22 Dec 2021
Daniele Lezzi
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 applicati.. Read more
275 Views175 Downloads
Project deliverable Published on: 22 Dec 2021
Radosław Ostrzycki
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.. Read more
137 Views77 Downloads
Project deliverable Published on: 22 Dec 2021
Michał Kłosiński
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. .. Read more
145 Views82 Downloads
Project deliverable Published on: 19 Dec 2021
Germán Moltó
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.. Read more
191 Views120 Downloads
Project deliverable Published on: 30 Jun 2021
Niccolò Zazzeri; Stephanie Parker; Rita Giuffrida
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.. Read more
280 Views104 Downloads
Project deliverable Published on: 30 Jun 2021
Grzegorz Timoszuk
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 pro.. Read more
125 Views80 Downloads
Project deliverable Published on: 30 Jun 2021
Danilo Ardagna
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 .. Read more
199 Views127 Downloads
Project deliverable Published on: 30 Jun 2021
Daniele Lezzi
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 o.. Read more
185 Views122 Downloads
Project deliverable Published on: 30 Jun 2021
Enrico Abate-Daga
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 tech.. Read more
211 Views142 Downloads
Project deliverable Published on: 30 Jun 2021
Danilo Ardagna
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.. Read more
239 Views287 Downloads
