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.
Press Release on the Digital Factory 2019 Press Roundtable
Tomorrow's world of work must not be regulated to the letter. The ILO's proposals go in the wrong direction.
Spotlight in the December issue of VDMA News

Research & Development

How can machines and plants independently optimize industrial processes through interaction with their environment? This is currently being investigated by the research project InPulS. The machine learning method "Reinforcement Learning" is applied. Two application scenarios will be tested.
The aim of the funding is to promote innovative applications of artificial intelligence methods in practice. The funding of collaborative projects is intended to strengthen the transfer between science and industry to the advantage of both parties.
Das intelligente Assistenzsystem intelliGuide von HOMAG Plattenaufteiltechnik

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Guido Reimann
Guido Reimann
Machine Learning, Künstliche Intelligenz, IT-Umfragen und IT-Statistiken, Logistik / Intralogistik, Nachwuchsaktivitäten
069 6603 1258
069 6603 2258
circle of experts
Find out about the activities of the Machine Learning Expert Group.
VDMA Conference Service Excellence
Artificial intelligence and employee development
ERFA Deep Learning on 27 June 2019 at Hexagon Manufacturing Intelligence/Q-DAS GmbH
Hexagon has developed deep learning software solutions in cooperation with Q-DAS and IconPro.
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 drives innovation
Spotlight in the December issue of VDMA News