AUTOMATION ANXIETY AND THE PROMISE OF AI
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.
AI INVESTMENTS IN RESEARCH: WHERE SHOULD THE MONEY GO?
The European Union and national governments are planning to spend significant sums on the development of artificial intelligence. Although this is good news for Europe’s position in AI, its success depends heavily on how and where the funds are actually spent.
“RESEARCH IS BECOMING MORE SENSITIVE”
Artificial intelligence (AI) is fundamentally changing the collaboration between humans and machines. Where are the ethical boundaries in mechanical engineering? We asked an expert from the Fraunhofer-Gesellschaft. Simone Kaiser is the Deputy Head of the Research Unit for Responsible Research and Innovation at the Institute for Organisational Development and Work Design.
THE EU'S QUEST FOR AN INTELLIGENT APPROACH TO AI
With the Communication on Artificial Intelligence, the European Commission has opened the debate on how to encourage the use of AI - and also maybe how to regulate it. While the Commission's proposal takes a rather optimistic view, there is still the danger of harmful legislation based on doomsday scenarios. In industrial applications, AI technologies such as machine learning are promising and challenging, but they are a long way from disrupting the legal and ethical framework.
ARTIFICIAL INTELLIGENCE: READY, STEADY, GO
The international innovation contest in the field of artificial intelligence within an industrial environment is rapidly gaining momentum. For mechanical and plant engineers from Germany, it is becoming increasingly important to quickly develop the potential of this technology.
MACHINE LEARNING: A JOURNEY TO THE YEAR 2030
How will mechanical engineering evolve in the years to come? Experts are clear about one thing: Self-learning systems are essential when it comes to securing competitiveness and the advancement of Industrie 4.0. The VDMA "Machine Learning 2030" report explores what the future may hold if the development of artificial intelligence is advanced or slowed down.