Artificial Intelligence in Engineering Applications
Authors: Sayed Hamdaan, Taha Turulkar
Maharashtra college of Science Commerce And Arts
Abstract :
Artificial intelligence isn’t just theory anymore. It’s a real-world tool reshaping engineering fields today. Think product design, renewable energy setups, communication networks—AI tackles problems once seen as too messy or expensive to solve. This study looks at key methods like machine learning, neural nets, genetic algorithms, and fuzzy logic in engineering contexts. The opportunities are clear: better efficiency, automation gains, sustainability wins. But challenges pop up too—data quality issues, transparency gaps, ethical debates around bias and job impacts. The paper also explores AI’s future role in driving greener engineering solutions without sacrificing innovation speed.
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