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GreenCode: AI/ML Driven Software Optimisation to Reduce Cost and Climate Impact

Laufzeit: 01.10.2024 - 30.09.2027

Partner: Aachen University of Applied Science, Aalborg Universitet, BEIA GmbH, BLC İletişim ve Güvenlik Sistemleri AS, Digital Tactics Ltd., Edora A/S, Fraunhofer IESE, Instituto Superior de Engenharia do Porto, IrRADIARE, Investigação e desenvolvi, KAN Engineering Ltd., King's College London, Panel Sistemas, Siemens AG, Siemens SRL, Tokiwa Software GmbH, TWT GmbH Science & Innovation, University of Augsburg, University of Madrid Carlos III, VBT Software A.S., ZAL Zentrum für Angewandte Luftfahrtforschung

Förderkennzeichen: 01IS24070H

Förderung durch: Bundesministerium für Forschung, Technologie und Raumfahrt (BMFTR)

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Kurzfassung


The climate and economic impact of sub-optimal software is a high-scale problem, that poses a further societal risk in times of energy stress. The GreenCode project addresses the problem of software and platform optimisation by leveraging specialised generative AI and Machine Learning to optimise and certify software for energy efficiency, enhancing developer productivity, code longevity, and ICT system value. Deployable to new and legacy systems, it performs quality assurance, modernisation,...The climate and economic impact of sub-optimal software is a high-scale problem, that poses a further societal risk in times of energy stress. The GreenCode project addresses the problem of software and platform optimisation by leveraging specialised generative AI and Machine Learning to optimise and certify software for energy efficiency, enhancing developer productivity, code longevity, and ICT system value. Deployable to new and legacy systems, it performs quality assurance, modernisation, maintainability, documentation, and security checks, reducing climate impact while increasing economic value for businesses, public institutions, and end users.» weiterlesen» einklappen

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