In the public project MInD, Fraunhofer IESE is conducting research with its project partners on a methodology for the quality-oriented development and validation of systems with Machine Learning and Deep Learning components.
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The project MInD (Machine Intelligence and Deep Learning) is concerned with the identification and use of Deep Learning technologies for the socio-technical shaping of the digital transformation. To this end, the competencies and potentials of Fraunhofer IESE, Fraunhofer ITWM, and the German Research Center for Artificial Intelligence (DFKI) are being bundled.
The project, which is intended as a long-term cooperation (> 4 years), started in 2018 with a preliminary project in which Fraunhofer IESE prepared an overview of published methods for the use of neural networks in safety-critical applications by means of a Systematic Mapping Study. In 2019, these were transferred into a reference process for the development of systems with Machine Learning components, which was partly evaluated using an example system (pedestrian detection system).
Fraunhofer Institute for Experimental Software Engineering IESE