Artificial intelligence in industrial test engineering

Innovative technologies from the fields of artificial intelligence (AI) and deep learning (DL) have achieved outstanding performance in recent years.

In the field of industrial production, the use of AI is often aimed at optimising more complex processes even with varying input data. Networked production, summarised under the buzzword "Industry 4.0", would be inconceivable without Big Data and artificial intelligence.

In the industrial sector, it is also particularly important to equip the individual production systems with artificial intelligence.


But how can artificial intelligence help to optimise industrial testing systems? In testing systems for electronic or automotive assemblies, the use of AI-based algorithms can improve classification processes or increase the depth of testing. However, AI also helps to completely automate time-consuming, manual activities, such as the definition of test programmes and test parameters.

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