Applications of artificial intelligence and machine learning in engineering and technical fields: a linguistic perspective

Abstract

The work explores how AI and ML are transforming the engineering and technical sectors, focusing on the linguistic aspects that facilitate human-machine interaction. It highlights key applications such as Natural Language Processing (NLP) in technical documentation, AI-powered chatbots for technical support, predictive maintenance through data analysis, generative design optimization, and autonomous systems. The linguistic perspective emphasizes the importance of precise terminology, context interpretation, user intent, and the need for AI systems to provide comprehensible explanations. The article concludes that language plays a crucial role in bridging the gap between human expertise and AI capabilities, enhancing collaboration and driving innovation.