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A Reference Model for Common Understanding of Capabilities and Skills in Manufacturing
In manufacturing, many use cases of Industry 4. 0 require vendor-neutral and machine-readable information models to describe, implement and execute resource functions.
A Simplicity Bubble Problem in Formal-Theoretic Learning Systems
When mining large datasets in order to predict new data, limitations of the principles behind statistical machine learning pose a serious challenge not only to the Big Data deluge, but also to the traditional assumptions that data generating processes are biased toward low algorithmic complexity.
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