In January 2019, the AI4EU consortium was established to build the first European Artificial Intelligence On-Demand Platform and Ecosystem with the support of the European Commission under the H2020 programme. The activities of the AI4EU project include:
- The creation and support of a large European ecosystem spanning the 28 countries to facilitate collaboration between all Europeans actors in AI (scientists, entrepreneurs, SMEs, Industries, funding organizations, citizens…);
- The design of a European AI on-Demand Platform to support this ecosystem and share AI resources produced in European projects, including high-level services, expertise in AI research and innovation, AI components and datasets, high-powered computing resources and access to seed funding for innovative projects using the platform;
- The implementation of industry-led pilots through the AI4EU platform, which demonstrates the capabilities of the platform to enable real applications and foster innovation;
- Research activities in five key interconnected AI scientific areas (Explainable AI, Physical AI ,Verifiable AI, Collaborative AI, Integrative AI), which arise from the application of AI in real-world scenarios;
- The funding of SMEs and start-ups benefitting from AI resources available on the platform (cascade funding plan of €3m) to solve AI challenges and promote new solutions with AI;
- The creation of a European Ethical Observatory to ensure that European AI projects adhere to high ethical, legal, and socio-economical standards;
- The production of a comprehensive Strategic Research Innovation Agenda for Europe
The establishment of an AI4EU Foundation that will ensure a handover of the platform in a sustainable structure that supports the European AI community in the long run.
The general objective of the project is to create a platform that allows collecting and managing the great flow of knowledge within companies to support the various acquisition activities (participation in tenders, commercial offers), design and production, testing, certification and maintenance of complex products.
Manufacturing industry produces a consistent flow of data and information consisting of texts, graphics and images representing the know-how of human personnel.
The project will develop a platform that allows the acquisition, organization and smart retrieval of information from texts and technical images, in the different phases of the production cycle.
EAGLE is a Best Practice Network that brings together some of the most prominent European institutions and archives in the field of ancient epigraphy to provide a significant quantity and quality of content for Europeana.
SmartNews nasce dall’idea di applicare il paradigma del social sensing, nel quale gli utenti fungono da sensori per molteplici situazioni, al mondo del giornalismo.
A partire dell’enorme mole di dati condivise dagli utenti dei social media, l’obiettivo del progetto SmartNews è realizzare un tool per la gestione delle breaking news che aiuti i giornalisti nelle diverse fasi di questo processo: dall’individuazione della breaking news, alla raccolta di informazioni, alla scrittura.
This project will create a self-learning robotic ecology, called RUBICON (for Robotic UBIquitous COgnitive Network), consisting of a network of sensors, effectors and mobile robot devices.
ASSETS is a 2 year project- co-funded by the CIP Policy Support Programme- which aims to improve the usability of Europeana by developing,
implementing and deploying software services focused on search, browsing and interfaces. ASSETS strives also to make more digital items available on Europeana by involving content providers across different cultural environments.
Dicet In Moto
The general aim of the project is the development of an ensemble of technological solutions oriented towards the intelligent evaluation of the cultural patrimony, material and immaterial, of the Campania region for the use of tourists, visitors and citizens, with respect to the principles of sustainability and eco-friendliness.
In the smart cities context, in the second half of 2013 CNR launched a project entitled Renewable Energy and ICT for Energy Sustainability. The project was based on the widespread use of renewable energy sources (and related storage technologies and energy management) and
the extensive use of ICT technologies for an enhanced management of the energy flows, thus making the energy services more efficient by adapting them to the demand (and,therefore,encouraging the energy saving and the energy rational use), with the informed involvement of citizens.
The use of aerial photographs of World War II to create historical maps gave us the idea of creating a database of historical information browsable by geographical and historical paradigms.The acquisition of historical information will cover from semantic web, social web, and web data mining techniques.An important source of news may be derived from the implementation of a social system for collecting memories.
The Purpose of the project “VISITO Tuscany” is to investigate and realize technologies able to offer an interactive and customized advanced tour guide service to visit the cities of art in Tuscany.
Within the domain of “Intelligent Transport Systems IPERMOB proposes a multi-tier approach for developing an Information System for urban mobility.
Specifically IPERMOB proposes low-cost wireless technology (WSN) and image processing techniques to estimate traffic-related information.
In IPERMOB vehicular networks (IEEE 802.11a/p) will be interoperated with WSN (IEEE 802.15.4) and connected to a centralized database through wide band 5 GHz link (IEEE 802.11h).
As tested, IPERMOB will provide real-time information about parking availability and vehicle flows on the landside of the International Airport of Tuscany (Pisa).
SAPIR extends the power of web searches beyond centralized text and metadata searches to include distributed audio-visual content.
SAPIR aims at breaking this technological barrier by developing a large-scale, distributed P2P architecture that will make it possible to search audio-visual content using the query-by-example paradigm. A common framework for feature extraction from all media contents will be developed for similarity search and ranking along all supported media. To address scalability issues, we will develop a P2P architecture where features can be extracted in one peer and pushed to an indexing peer. The P2P architecture will provide a scalable indexing structure that can be used for multi-feature search.
On the web, cultural heritage content is everywhere, in traditional environments such as libraries, museums, galleries and audiovisual archives, but
also in popular magazines and newspapers, in multiple languages and multiple media. The aim of the MultiMatch project is to enable users to explore and interact with
online accessible cultural heritage content, across media types and languages boundaries.