Artificial Intelligence (AI) solutions for the process industry: industry-relevant questions from the KEEN platform
AI-based automation of industrial data pre-processing
Successful machine learning in an industrial environment requires cleaned and labeled datasets. In daily practice, this is simply not the case, i.e. most collected datasets are "dirty" and need to be pre-processed manually by experts. We are challenging you to develop an intelligent pipeline to automate the task of industrial data preprocessing.
Depending on the maturity of the submitted results, there will be the possibility to publish the solutions in a scientific publication and/or to further collaborate with ABB on the topic.
Condition detection in an extraction column with liquid-liquid flow via an AI image recognition method
Depending on the submitted results, there is the possibility to publish the solutions in a scientific publication and/or to test their application.
Apply AI methods to relevant questions from the process industry and write your own code as a team. Data sets are provided. The task requires basic programming skills and enthusiasm for AI. Scientists and industry representatives from the KEEN platform will accompany the process as mentors. The task can be solved in one or two weekends depending on previous knowledge. .
The expert jury was formed by representatives of the KEEN platform and d-fine.
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