AI for Everyone: Simplified Concepts, Real-World Applications, and Future Possibilities

Abstract- Artificial Intelligence (AI) is transforming various fields of engineering and education by enabling machines to learn, adapt, and solve complex problems. This review presents AI in clear and simpletermswhile maintaining a scientific perspective. AI includes technologies such as machine learning, deeplearning, natural language processing, and robotics, which help automate tasks, analyze data, andimprove decision-making. Its applications extend across healthcare, manufacturing, finance, agriculture, cybersecurity, and transportation, enhancing efficiency and innovation. Recent progress in neural networks and deep learning has expanded AI’s potential, making it a key driver of new discoveries andsolutions in engineering. However, challenges such as ethical concerns, data privacy, and the need for responsible AI development remain important areas of discussion. This paper aims to make AI moreunderstandable while emphasizing its role in advancing technology and solving real-world engineeringproblems in various engineering fields like civil, mechanical, electrical, electronics and off-course incomputer science. Keywords- Artificial Intelligence (AI), Machine Learning, Deep Learning, Robotics, Data Privacy, Engineering Applications.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-07-20
DOI
https://doi.org/10.5281/zenodo.16777707
Primary Topic
Reproductive Physiology in Livestock
Type
article
Field-Weighted Citation Impact
0.00
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article

AI for Everyone: Simplified Concepts, Real-World Applications, and Future Possibilities

Zenodo (CERN European Organization for Nuclear Research)
Reproductive Physiology in Livestock
article

AI for Everyone: Simplified Concepts, Real-World Applications, and Future Possibilities

article en

Abstract

Abstract- Artificial Intelligence (AI) is transforming various fields of engineering and education by enabling machines to learn, adapt, and solve complex problems. This review presents AI in clear and simpletermswhile maintaining a scientific perspective. AI includes technologies such as machine learning, deeplearning, natural language processing, and robotics, which help automate tasks, analyze data, andimprove decision-making. Its applications extend across healthcare, manufacturing, finance, agriculture, cybersecurity, and transportation, enhancing efficiency and innovation. Recent progress in neural networks and deep learning has expanded AI’s potential, making it a key driver of new discoveries andsolutions in engineering. However, challenges such as ethical concerns, data privacy, and the need for responsible AI development remain important areas of discussion. This paper aims to make AI moreunderstandable while emphasizing its role in advancing technology and solving real-world engineeringproblems in various engineering fields like civil, mechanical, electrical, electronics and off-course incomputer science. Keywords- Artificial Intelligence (AI), Machine Learning, Deep Learning, Robotics, Data Privacy, Engineering Applications.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 45%
Reproductive Physiology in Livestock
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AI for Everyone: Simplified Concepts, Real-World Applications, and Future Possibilities · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS