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Here you will find all VDMA activities for Machine Learning. You will receive information on upcoming events, new publications and guidelines, the Machine Learning Expert Group and other useful information for your company.
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.
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.
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 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.
The BMBF supports collaborative projects in the field of "Learning Production Technology - Use of Artificial Intelligence in Production (ProLern)". With the "Marketplace of Project Ideas" on 3 December 2019 in Frankfurt am Main, the VDMA is offering a platform for obtaining information about this current call for proposals.
The Federal Ministry of Education and Research (BMBF) funds R&D projects in the "Innovations for Tomorrow's Production, Services and Work" research programme that demonstrably improve manufacturing technology processes by using AI technologies in and on machines and production resources.
As part of the Federal Government's AI strategy, the Federal Environment Ministry supports projects that use artificial intelligence to meet ecological challenges and are exemplary for environmentally, climate-, health- and nature-friendly digitisation ("AI lighthouses").
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