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This page is part of the Climate Change AI Wiki, which aims provide resources at the intersection of climate change and machine learning.
Most factories today rely on complex networks of disconnected production equipment, leading to inefficiencies in control systems such as temperature control, power usage, and material flow. ML techniques such as image recognition, regression trees, and time delay neural networks can help optimize the control and efficient automation of industrial systems.