Machine learning is being applied to real-world scenarios like automating tasks in manufacturing industries such as automotive manufacturing and distribution centers. Despite the automation in automotive manufacturing, there is still a need for human labor to connect different machines for various processes. Machine learning models are being developed to solve complex connector problems, optimizing efficiency and productivity in the workforce. These models are also being utilized in warehouses for tasks like induction, involving manipulation of items for storage and distribution, targeting enhanced operational efficiency in different sectors.

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