Industrie 4.0 Research
Via its Research Group and the Lab Tours I40, the VDMA Forum Industrie 4.0 is building a network between companies in mechanical engineering and the innovation centers of German research institutes. The “Industrie 4.0 Research at German Research Institutes” compilation provides assistance in this, offering an overview of the German research landscape. In it, more than 50 universities and institutes report on their current projects.
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About 30 VDMA members met at the VDMA in Frankfurt on January 16, 2020, to launch new project ideas for joint research projects in the field of Industrie 4.0 and Artificial Intelligence.
The Research Allowance Act came into force on 1 January 2020. Here you can find out who benefits from the new tax incentives, what you have to take into account and how the VDMA will support you with this type of subsidy.
With the "KI4KMU" guideline, the Federal Ministry of Education and Research (BMBF) supports projects between industry and science for a broader use of innovative machine learning and AI methods in SMEs.
Industrial Collective Research (IGF) represents a unique innovation platform for small and medium-sized enterprises. As an bottom-up and industry-driven programme, the IGF is an important element in pre-competitive research for mechanical and plant engineering.
More than 140 participants informed themselves at the VDMA about the possibilities of research funding for companies - the national and European funding landscape as well as the new instrument of the tax research allowance were the focus of the event.
At the web conference of the VDMA working group "I40 and AI" on March 12, 2020, representatives of VDMA and member companies intensively discussed the project idea "Trust in Artificial Intelligence in Production". Further interested VDMA members are cordially invited.
Judith Binzer
Judith Binzer
Industrie 4.0 Forum
+49 69 6603 1810
+49 69 6603 2810
The Mittelstand 4.0 competence centres at a glance
The Mittelstand 4.0 competence centres set up by the BMWi provide companies with numerous free services to help them digitise their operational processes. Here is an overview of the current centres.
Dieter Herzig: Selbstlernende Produktionsprozesse
Die AZO GmbH + Co. KG führt Maschinelles Lernen in ihre Produktionsprozesse ein. Im Rahmen des Forschungsprojektes InPulS hat das Unternehmen gemeinsam mit dem Institut für Unternehmenskybernetik der RWTH Aachen eine selbstlernende Prozessregelung entwickelt. Im Interview spricht Dieter Herzig, Chief Digitalization Officer von AZO, über den Nutzen einer Einführung von Künstlicher Intelligenz und Maschinellem Lernen und gibt Tipps für Unternehmen, die sich neu mit dieser Materie beschäftigen.
Overview of Research Institutions in the Field of Artificial Intelligence
The Learning Systems platform initiated by the Federal Ministry of Education and Research (BMBF) in cooperation with the Federal Ministry of Economics and Energy (BMWi) provides an overview of research institutions in the field of artificial intelligence.