Artificial Intelligence and Machine Learning in Modern Technology: A Comprehensive Review
DOI:
https://doi.org/10.70705/ppp.fetaiml.2023.v02.i01.pp10-13Keywords:
Artificial intelligence (AI), Machine learning (ML), Traditional programming, Supervised learning, Unsupervised learning, Reinforcement learningAbstract
An explosion in data has resulted from the widespread use of digital technologies, which in turn has enabled machines to
gain knowledge through experience and gradually enhance their performance. As a result, AI and ML have emerged as crucial
technologies propelling innovation across numerous domains. Concepts, definitions, types, applications, and the link between
ML and AI are all covered in this paper’s thorough examination. Topics like as language processing, scheduling, robotics, and
anomaly detection are expanded upon in this work, along with supervised, unsupervised, and reinforcement learning. Researchers,
practitioners, and students in the area will find this study important since it adds to the body of knowledge by offering
a complete overview of AI and ML. Research on the moral consequences of AI and ML in different contexts is warranted,
according to this paper.


