The compilation of the guide on artificial intelligence was carried out as part of the project "Industry 4.0 - Data-based change in medium-sized companies". The project is managed by the VDMA Bavaria and is supported by public funds of the Bavarian Ministry of Economic Affairs, Regional Development and Energy.
The guideline "Self-learning production processes - introduction strategy for reinforcement learning in industrial practice" introduces the topic of machine learning and shows step by step how an introduction of industrial reinforcement learning can take place in your own company. Application examples illustrate the procedure.
AI in industry now needs no further regulation, but rather an objective handling of the risks.
Under the title "Making AI European", the Legal Affairs Committee of the European Parliament has held a debate on artificial intelligence (AI). From the point of view of the VDMA, it is good that rules for AI are being discussed at EU level.
The innovation magazine of ProduktionNRW shows how companies are approaching their future vision "Industry 4.0" by implementing artificial intelligence projects. The magazine presents interesting entrepreneurial approaches on 32 pages.
Europe wants to play the leading role in the development of artificial intelligence (AI).
The European Parliament's Internal Market and Consumer Protection Committee (IMCO) today discussed artificial intelligence (AI) at its first meeting of the new year.
The results of the Enquete Commission "AI and Economy" are generally well received by the VDMA, as KI is clearly named as a key technology for the economy. However, from the VDMA's point of view, increased coordination between science, industry and civil society is absolutely necessary in this important area.
Equal treatment of B2B and B2C not effective, VDMA demands avoidance of even more bureaucracy, perspective for AI internal market in Europe
There is no way around artificial intelligence - in everyday life as well as in the workplace. How profound the change will be, however, is just as open as the question: "How far can we trust AI?
Overview MOOCs (Massive Open Online Courses) for Artificial Intelligence / Machine Learning
The topic of artificial intelligence is high on the agenda at the mechanical engineering summit in Berlin. Dr. Stefan Wess from the AI pioneer Empolis will also talk about the technology during a panel discussion.
A new VDMA study offers companies in the mechanical and plant engineering sector AI-based support in navigating through the global startup scene. For the first time, it reveals which startups are relevant for mechanical engineering and where they are located worldwide. Over 3,000 startups with relevance for our industry are presented in a longlist.
A recent report shows policymakers the way to a better future with useful AI applications, but without excesses such as the all-round monitoring of citizens.
#2 of the Industry Podcast is now available at Podigee
Will robots and Artificial Intelligence (AI) take over, lead to massive job displacements and soon send our societies into turmoil? Or are they simply great tools we can use to create a world with increased prosperity, resource efficiency and new cures for terrible diseases? A reality check shows: It is time to leave techno-panics behind.By Patrick Schwarzkopf
Professor Claus Oetter, Managing Director of VDMA Software and Digitisation, calls for a stronger possibility of differentiation for industry at the meeting of the Data Ethics Commission and the question of an ethical design of society.
The mechanical engineering industry sees the guidelines of the EU expert group on the use of AI as an important contribution in the public debate, but warns against drawing red lines too early.
The industrial world is in a constant state of change. Machine learning will change mechanical engineering and thus many user industries. Implementation has already begun - now the focus is on concrete application scenarios and their implementation.
Hartmut Rauen, Deputy Managing Director of the VDMA, considers the use of artificial intelligence to be largely uncritical, even if a discussion about its ethical dimensions is important, said Rauen on the occasion of the Bundestag debate on the AI strategy of the Federal Government.


Upcoming events around the topic "artificial intelligence
Here you will find an overview of VDMA events on the topic of artificial intelligence
read more

Research & Development

This guideline of the Federal Ministry of Education and Research (BMBF) is intended to promote the application-oriented research and development (R&D) of solutions for the generation of synthetic data for AI.
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.
The Industrial Collective Research (IGF) represents a unique innovation platform for small and medium-sized enterprises. As an open-topic and industry-driven programme, the IGF is an important building block in pre-competitive research for mechanical and plant engineering.
In the web seminar "Retrofit for Industrie 4.0", around 90 participants were able to experience approaches and implementation examples that showed how existing machines and systems can be modernized to make them suitable for Industry 4.0. Presentations from Hans Turck GmbH & Co. KG, viastore SYSTEMS GmbH and Fraunhofer IOSB-INA provided insights into digital retrofitting.
Guido Reimann
Guido Reimann
Machine Learning, Künstliche Intelligenz, IT-Umfragen und IT-Statistiken, Logistik / Intralogistik, Nachwuchsaktivitäten
069 6603 1258
069 6603 2258
Das intelligente Assistenzsystem intelliGuide von HOMAG Plattenaufteiltechnik
circle of experts
Find out about the activities of the Machine Learning Expert Group.
Machine Learning 2030 - Scenario Study Volume I
Machine Learning and Artificial Intelligence are the first topics of our series "Images of the Future for Mechanical and Plant Engineering". Result report for download - for members
machine learning
Artificial generation of knowledge from experience
Machine Learning drives innovation
Spotlight in the December issue of VDMA News