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Artificial Intelligence (AI) Driven Industrial Automation

S.S. Blessy Trencia Lincy

Year
2024
Citations
1

Abstract

Artificial Intelligence (AI) driven industrial automation outspreads the contemporary use of control technologies and robotics at much greater levels. Industrial automation is the concept of using control systems, which include computers, robots, and other information technologies, to manage diverse processes and machinery in the industrial world to replace human beings. This process involves integrating smart tools and computers into numerous operations. Artificial intelligence is the capability of the machine to learn from practice and experience, tune and acclimate to new ideas or inputs without manual human intervention, or perform human-like tasks. AI has played a vital role in research for over three decades. Hence, industrial automation and AI are transmuting businesses and will subsidize economic growth by contributing to productivity. AI-driven automation helps overcome the inherent challenges and demands that have been afflicting industries. This might include the scarcity of domain expertise, complexity in decision-making, integration issues, and the overloaded information that needs to be processed. The progress and advancement in machine learning technologies, the ever-growing computing power, and advances in sensors have contributed to creating a new generation of robots. AI aids and assists the machines in collecting and extracting knowledge, identifying or recognizing patterns, learning, and familiarizing with new situations through machine intelligence, 86adaptive learning, and speech recognition. Thus, AI helps manufacturers make faster and data-driven decision support, enhance the production outcome, increase the efficiency of the processes involved, reduce the costs involved in the operations, and support the innovation of the products.

Keywords

AutomationComputer scienceArtificial intelligenceManufacturing engineeringEngineeringMechanical engineering

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