JLI Newsletter October

Case Story Rails

In the past, it has been difficult to inspect vibrant/vivid materials like steel, wood and fabric for anomalies. It is extremely difficult to design a traditional, feature based algorithm to detect anomalies in such materials. In this Newsletter you find a case story vabout solving a complex inspection task in the steel industry with machine learning. 

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