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dbr:Machine_learning_in_heavy_industry
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Artificial intelligence in heavy industry
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Artificial intelligence, in modern terms, generally refers to computer systems that mimic human cognitive functions. It encompasses independent learning and problem-solving. While this type of general artificial intelligence has not been achieved yet, most contemporary artificial intelligence projects are currently better understood as types of machine-learning algorithms, that can be integrated with existing data to understand, categorize, and adapt sets of data without the need for explicit programming.
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Artificial intelligence, in modern terms, generally refers to computer systems that mimic human cognitive functions. It encompasses independent learning and problem-solving. While this type of general artificial intelligence has not been achieved yet, most contemporary artificial intelligence projects are currently better understood as types of machine-learning algorithms, that can be integrated with existing data to understand, categorize, and adapt sets of data without the need for explicit programming. AI-driven systems can discover patterns and trends, discover inefficiencies, and predict future outcomes based on historical trends, which ultimately enables informed decision-making. As such, they are potentially beneficial for many industries, notably heavy industry. While the application of artificial intelligence in heavy industry is still in its early stages, applications are likely to include optimization of asset management and operational performance, as well as identifying efficiencies and decreasing downtime.
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