Importance of Artificial Intelligence in the Engineering Applications: A Review
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Abstract
Artificial Intelligence (AI) is now a powerful tool in engineering with growing applications in civil engineering, mechanical engineering, structural engineering, electrical engineering, and environmental engineering. This review aims at assaying the impact of AI technologies in the areas of effectiveness, actions, and creation. AI uses machine learning or generative design, predictive analytics and other tools, to enhance design processes and make design work more efficient, to automate many of the repetitive tasks, and to predict when certain equipment will need maintenance, and that’s how AI boosts project outcomes. AI engineering enables various design solutions in a short time through generative design, and AI facilitates real-time decisions by predictive analytics to improve safety and resources.
AI in smart infrastructure refers to the advanced use of artificial intelligence is new infrastructure systems such as IT systems, smart grid, and smart construction management that has resulted in enhanced project planning and risk management, energy optimization. In addition, artificial intelligence and machine learning technologies are used more frequently in real-time assessment of structure health and environmental conditions that lead to sustainable solutions and enhanced infrastructure life cycle.
However, the use of AI in engineering also has its drawbacks like security issues, ethical issues and the last but not the least is the high quality data required to train AI. Concerns pertaining to algorithmic bias and the accountability of resulting AI choices underscore the need for sound AI design practices and ethical guidelines. Also, the introduction of AI systems to the currently used engineering practices presents some essential challenges that involve interdisciplinary planning and coordination.
This review shows that AI is increasingly becoming a key enabler of innovation and critical to solving engineering challenges. Continued evolution is expected to increase the impact of AI in engineering applications and enhance the creation of sustainable and efficient solutions in many sectors.
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