Objective The proposed research programme will focus on pervasively adaptive software systems for the development of an open modular computational INtelligence software platform For Evolving and Robust predictive systems (INFER) applicable in various commercial settings and industries. The main innovation of the project is a novel type of environment in which the “fittest” predictive model for whatever purpose will emerge – either autonomously or by user high-level goal-related assistance and feedback. The application of the INFER platform as smart adaptive soft sensors will contribute to increasing the operational excellence of the European process industry represented by a large international company, Evonik Degussa GmbH from Germany, focusing on specialty chemistry. The jointly developed software platform will translate the latest academic research results achieved with help of the academic partner, Bournemouth University from UK, into a commercial software product through involvement of highly skilled and innovative SME software company, Research & Engineering Centre from Poland. In facilitating a continuous exchange of expertise, firstly by including new and innovative ideas in actual industry products and services and secondly by providing constant feedback in terms of practical applicability of the new approaches and future needs and requirements, a long-term research collaboration and mechanisms for commercial exploitation of research results will be established. The partners believe that engineering of more robust, context aware and easy-to-use ICT systems, which improve, adapt and maintain themselves within their respective environments and constraints, will play a crucial role in removing various technological roadblocks and reinforcing Europe’s industrial and commercial strengths. Fields of science natural sciencescomputer and information sciencessoftwarenatural sciencescomputer and information sciencessoftwaresoftware applicationssystem softwarenatural sciencescomputer and information sciencesartificial intelligencecomputational intelligence Programme(s) FP7-PEOPLE - Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013) Topic(s) FP7-PEOPLE-2009-IAPP - Marie Curie Action: "Industry-Academia Partnerships and Pathways" Call for proposal FP7-PEOPLE-2009-IAPP See other projects for this call Funding Scheme MC-IAPP - Industry-Academia Partnerships and Pathways (IAPP) Coordinator BOURNEMOUTH UNIVERSITY EU contribution € 890 421,00 Address FERN BARROW BOURNEMOUTH UNIVERSITY BH12 5BB Poole United Kingdom See on map Region South West (England) Dorset and Somerset Bournemouth Activity type Higher or Secondary Education Establishments Administrative Contact Bogdan Gabrys (Prof.) Links Contact the organisation Opens in new window Website Opens in new window Total cost No data Participants (3) Sort alphabetically Sort by EU Contribution Expand all Collapse all EVONIK INDUSTRIES AG Germany EU contribution € 147 778,00 Address RELLINGHAUSER STRASSE 1-11 45128 Essen See on map Region Nordrhein-Westfalen Düsseldorf Essen, Kreisfreie Stadt Administrative Contact Petr Kadlec (Dr.) Links Contact the organisation Opens in new window Website Opens in new window Total cost No data Research & Engineering Center Sp.z o.o. Poland EU contribution € 517 181,00 Address Strzegomska 46B 53-611 Wroclaw See on map Activity type Private for-profit entities (excluding Higher or Secondary Education Establishments) Administrative Contact Małgorzata Krajewska (Mrs.) Links Contact the organisation Opens in new window Website Opens in new window Total cost No data EVONIK OPERATIONS GMBH Germany EU contribution No data Address RELLINGHAUSER STRASSE 1-11 45128 Essen See on map Region Nordrhein-Westfalen Düsseldorf Essen, Kreisfreie Stadt Activity type Private for-profit entities (excluding Higher or Secondary Education Establishments) Administrative Contact Reinhard Dudda (Mr.) Links Contact the organisation Opens in new window Total cost No data
