Current Volume 9
Abstract
Artificial intelligence (AI) has transitioned from a theoretical construct to a pervasive force embedded in modern daily life. This detailed report presents an expanded survey of AI applications across six critical domains: smartphones, virtual assistants, entertainment, healthcare, and transportation. By examining core architectures — machine learning (ML), deep learning (DL), natural language processing (NLP), and computer vision (CV) — this study evaluates both the transformative potential and the significant ethical challenges introduced by these technologies. Future trends including generative AI, edge AI, ambient intelligence, and Explainable AI (XAI) are also examined with projections through 2030.
Keywords
Artificial Intelligence, Machine Learning, Deep Learning, NLP, Computer Vision, Edge AI, Generative AI, Neural Processing Unit, Explainable AI, Smart Assistants, Autonomous Vehicles, Healthcare AI, Recommendation Systems.
Citations
IRE Journals:
Parth Deshmukh, Neel Hirani "Artificial Intelligence in Everyday Life: Applications, Challenges, and Future Directions" Iconic Research And Engineering Journals Volume 9 Issue 10 2026 Page 3457-3461 https://doi.org/10.64388/IREV9I10-1716996
IEEE:
Parth Deshmukh, Neel Hirani
"Artificial Intelligence in Everyday Life: Applications, Challenges, and Future Directions" Iconic Research And Engineering Journals, 9(10) https://doi.org/10.64388/IREV9I10-1716996
About IRE Journals
IRE Journals is an open access online journals established with an aim to publish high quality of research work in various diciplines. We have more than 6 years in publications. Over 2500+ papers already published.
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