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MyDataModels and 3IA Côte d’Azur : modeling the risk of failure in temporal data defined over complex networks


MyDataModels and 3IA Côte d’Azur : modeling the risk of failure in temporal data defined over complex networks


Publication : 18/12/2019
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MyDataModels and Marco Lorenzi (3IA Chair) are collaborating to tackle the problem of model validation and optimization in industrial applications. This collaboration aims at developing effective analysis methods for modeling and prediction of high-dimensional and complex data. Moreover, they are currently investigating scalable methods for modeling the risk of failure in temporal data defined over complex networks.


A multidisciplinary project for a translation in both clinical/biology and industrial domains

In 2020 a collaborative PhD project will start for further developing the current topics. The project is highly multidisciplinary and is developed within a partnership between two academic partners, Marco Lorenzi (Inria) and Massimo Mantegazza (CNRS), and the startup MyDataModels. Within this collaborative setting, the developed IA methodology will find translation in both clinical/biology and industrial domains.
This collaboration is a fantastic example of the positive synergy between research and industry. It will provide important resources and a unique collaborative context for high-quality research tackling important challenges in IA.

Marco Lorenzi

                       “This collaboration has the potential of amplifying the impact of my research work

                        in the society beyond the academic boundaries, by allowing MyDataModels to foster excellence

                        in today’s extremely competitive global tech landscape, and ultimately contributing to

                        the societal and economic life of Sophia Antipolis”,

                        said Marco Lorenzi.

 

MyDataModels, Software Editor, active in the research, outside of the traditional R&D path and software development cycle 

MyDataModelsMyDataModels is truly involved in fundamental aspects, like evolutionary algorithms and in several aspects of data science via partnerships with INRIA, specifically on Time Series, Survival Analysis as and in Semi-supervised learning. The participation and promotion of the activities of 3IA is an integral part of these efforts, because provides the means to contribute to the industry academia cross-fertilization. This materializes, either by helping the transfer of the research outcomes to the industrial world or, conversely, by contributing to the suggestion of research themes to our public partners.