{"id":1019,"date":"2024-12-05T15:45:38","date_gmt":"2024-12-05T06:45:38","guid":{"rendered":"https:\/\/www.aicritique.org\/us\/?p=1019"},"modified":"2024-12-05T15:45:38","modified_gmt":"2024-12-05T06:45:38","slug":"generative-artificial-intelligence-a-systematic-review-and-applications","status":"publish","type":"post","link":"https:\/\/www.aicritique.org\/us\/2024\/12\/05\/generative-artificial-intelligence-a-systematic-review-and-applications\/","title":{"rendered":"Generative Artificial Intelligence: A Systematic Review and Applications"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">Source: <a href=\"https:\/\/link.springer.com\/article\/10.1007\/s11042-024-20016-1?utm_source=chatgpt.com\">https:\/\/link.springer.com\/article\/10.1007\/s11042-024-20016-1?utm_source=chatgpt.com<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The paper titled &#8220;Generative Artificial Intelligence: A Systematic Review and Applications&#8221; by Sandeep Singh Sengar, Affan Bin Hasan, Sanjay Kumar, and Fiona Carroll, published in August 2024, provides a comprehensive overview of the advancements and applications of generative AI models.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Key Highlights:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Paradigm Shift in AI<\/strong>: The study emphasizes a significant shift in artificial intelligence, driven by the capabilities of generative models in both supervised and unsupervised learning scenarios. <a href=\"https:\/\/link.springer.com\/article\/10.1007\/s11042-024-20016-1?utm_source=chatgpt.com\" target=\"_blank\" rel=\"noreferrer noopener\">Springer Link<\/a><\/li>\n\n\n\n<li><strong>Applications Across Domains<\/strong>: Generative AI has demonstrated state-of-the-art performance in various fields, including:\n<ul class=\"wp-block-list\">\n<li><strong>Image Translation<\/strong>: Enhancing the conversion of images from one form to another.<\/li>\n\n\n\n<li><strong>Medical Diagnostics<\/strong>: Improving diagnostic processes through advanced data analysis.<\/li>\n\n\n\n<li><strong>Textual Imagery Fusion<\/strong>: Combining text and images to create cohesive content.<\/li>\n\n\n\n<li><strong>Natural Language Processing<\/strong>: Advancing the understanding and generation of human language.<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>Large Language Models<\/strong>: The paper discusses the impact of large language models on language generation, highlighting their role in advancing natural language processing tasks.<\/li>\n\n\n\n<li><strong>Interdisciplinary Applications<\/strong>: The research explores how generative AI intersects with various disciplines, leading to innovative solutions across different sectors.<\/li>\n\n\n\n<li><strong>Future Trajectory<\/strong>: The authors provide insights into the future direction of generative AI, considering potential developments and challenges.<\/li>\n\n\n\n<li><strong>Responsible AI Principles<\/strong>: The paper concludes with a discussion on ethical considerations and the importance of responsible AI practices to ensure sustainable growth of generative models.<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">This systematic review serves as a valuable resource for understanding the current landscape and future prospects of generative AI, offering a detailed analysis of its applications and ethical implications.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Source: https:\/\/link.springer.com\/article\/10.1007\/s11042-024-20016-1?utm_source=chatgpt.com The paper titled &#8220;Generative Artificial Intelligence: A Systematic Review and Applications&#8221; by Sandeep Singh Sengar, Affan Bin Hasan, Sanjay Kumar, and Fiona Carroll, published in August 2024, provides a comprehensive overview of the advancements and applications of generative&hellip;<\/p>\n","protected":false},"author":4,"featured_media":1020,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[23,8],"tags":[],"class_list":["post-1019","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-academic","category-generativeai"],"_links":{"self":[{"href":"https:\/\/www.aicritique.org\/us\/wp-json\/wp\/v2\/posts\/1019","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.aicritique.org\/us\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.aicritique.org\/us\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.aicritique.org\/us\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/www.aicritique.org\/us\/wp-json\/wp\/v2\/comments?post=1019"}],"version-history":[{"count":1,"href":"https:\/\/www.aicritique.org\/us\/wp-json\/wp\/v2\/posts\/1019\/revisions"}],"predecessor-version":[{"id":1021,"href":"https:\/\/www.aicritique.org\/us\/wp-json\/wp\/v2\/posts\/1019\/revisions\/1021"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.aicritique.org\/us\/wp-json\/wp\/v2\/media\/1020"}],"wp:attachment":[{"href":"https:\/\/www.aicritique.org\/us\/wp-json\/wp\/v2\/media?parent=1019"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.aicritique.org\/us\/wp-json\/wp\/v2\/categories?post=1019"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.aicritique.org\/us\/wp-json\/wp\/v2\/tags?post=1019"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}