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Cineca is a non profit Consortium, made up of 70 Italian universities, 8 Italian Research Institutions and the Italian Ministry of Education. It develops advanced Information Technology applications and services, acting like a trait-d'union between the academic world, the sphere of pure research and the world of industry and Public Administration.

In Enabling Players, Academia

CINI (National Interuniversity Consortium for Informatics) is the main point of reference for the Italian national academic research in the fields of Computer Science, Computer Engineering, and Information Technology.

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CRS4’s efforts in technological development and scientific research focus on state-of-the-art computational technologies and on their application to several areas: biomedicine, biotechnology, information society, energy and environment. These sectors have a great socio-economic impact in terms of market share and citizen expectations and are characterized by a growing demand for high-tech products, services and procedures. The main purposes of CRS4 are interdisciplinary studies, development and application of innovative solutions for priority thematic fields.

In Enabling Players, Academia

Fondazione Politecnico di Milano was founded in 2003 through a joint effort between the Politecnico di Milano, major city and regional institutions and important corporations to support the university’s research projects and contribute to innovating and developing the economic, productive and administrative environment. Fondazione Politecnico is committed to building a more effective relationship between the university, industry and public administrations.

In Enabling Players, Academia

Startup Community

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Startup Community

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Startup Community

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Information & Communication Technology Research Centre. Drive innovation, inspire creativity to shape the future (of business & city) in a strategic perspective

In Enabling Players, Academia

Startup Community

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The Machine Learning group of the University of Ferrara is composed by about 10 people and is focused on machine learning, data mining and intelligent data analysis for Big Data. In particular, the group has a strong record of research in statistical relational learning, i.e., the induction of complex statistical models involving intertwined and uncertain relations among a large number of entities.

In Enabling Players, Academia