Artificial Intelligence (AI)

dc.creatorIsroiljonov Asadbek
dc.creatorMaksudova Shakhnoza
dc.date2023-11-19
dc.date.accessioned2024-10-12T12:14:24Z
dc.date.available2024-10-12T12:14:24Z
dc.descriptionThis article explores the transformative power of artificial intelligence (AI) across various industries. Through a comprehensive review of current applications and future potentials, the authors delve into how AI is reshaping healthcare, finance, manufacturing, and beyond. The article presents a balanced examination of AI's capabilities, addressing both its promises and potential pitfalls. Additionally, it highlights key ethical considerations and challenges, offering a thought provoking insight into the complex interplay between AI and society Artificial intelligence (AI) has been increasingly used to annotate articles in the field of natural language processing. This involves training AI models to automatically analyze and label different parts of an article, such as identifying key phrases, summarizing content, and extracting important information. AI annotation tools can assist with tasks such as sentiment analysis, named entity recognition, and topic modeling, helping to streamline the process of understanding and organizing large volumes of text. Additionally, AI annotation can improve the accuracy and efficiency of content categorization and indexing, making it an important tool for researchers, publishers, and businesses in managing and analyzing textual data.en-US
dc.formatapplication/pdf
dc.identifierhttps://journals.proindex.uz/index.php/jiesr/article/view/182
dc.identifier.urihttps://dspace.umsida.ac.id/handle/123456789/36740
dc.languageeng
dc.publisherProIndex Publishing Houseen-US
dc.relationhttps://journals.proindex.uz/index.php/jiesr/article/view/182/148
dc.sourceJournal of Innovation in Education and Social Research; Vol. 1 No. 3 (2023): Journal of Innovation in Educational and Social Research; 34-38en-US
dc.source2992-894X
dc.subject(AI) = Artificial Intelligence, AI technologies, Natural language processing (NLP), Machine Learning, Robotics,. Computer Vision, General AI, Recommendation,Systems Healthcare.en-US
dc.titleArtificial Intelligence (AI)en-US
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typePeer-reviewed Articleen-US
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