{"id":224539,"date":"2024-04-14T08:52:31","date_gmt":"2024-04-14T08:52:31","guid":{"rendered":"https:\/\/ieee-cisose-congress.org\/?page_id=224539"},"modified":"2024-04-14T08:52:31","modified_gmt":"2024-04-14T08:52:31","slug":"track-emerging-ai","status":"publish","type":"page","link":"https:\/\/cisose.fit.ac.jp\/2026\/track-emerging-ai\/","title":{"rendered":"Special Track &#8211; Emerging AI Technologies and Big Data"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"224539\" class=\"elementor elementor-224539\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-409922e9 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"409922e9\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-572855a\" data-id=\"572855a\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-4d232ac5 elementor-widget elementor-widget-text-editor\" data-id=\"4d232ac5\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: bolder;\">Description:<\/span><\/p><p>The convergence of emerging artificial intelligence (AI) technologies and the proliferation of big data has revolutionized various industries, from healthcare to finance, from manufacturing to entertainment. This dynamic intersection presents a large number of opportunities and challenges worthy of scholarly inquiry and discussion. We invite researchers, practitioners, and scholars from diverse disciplines to contribute to this track focusing on the synergistic relationship between emerging AI technologies and big data analytics.<\/p><p>\u00a0<\/p><p><span style=\"font-weight: bolder;\">Track Chairs:<\/span><\/p><p>Priyanka Chawla, Guanqiu Qi<\/p><p>\u00a0<\/p><p><span style=\"font-weight: bolder;\">Topics:<\/span><\/p><ol><li><p>Generative AI and Big Data:<br \/>\u2022 Applications of generative adversarial networks (GANs) and variational autoencoders (VAEs) in generating synthetic data for training models.<br \/>\u2022 Ethical considerations and implications of using generative AI in data augmentation and synthesis.<\/p><\/li><li><p>Stable Diffusion Models and Big Data:<br \/>\u2022 Exploring the applications of stable diffusion models in handling and analyzing large-scale datasets.<br \/>\u2022 Scalability challenges and solutions for implementing stable diffusion models in big data environments.<\/p><\/li><li><p>Reinforcement Learning and Big Data:<br \/>\u2022 Leveraging reinforcement learning algorithms for extracting insights from massive datasets.<br \/>\u2022 Case studies and applications of reinforcement learning in optimizing big data processing pipelines.<\/p><\/li><li><p>Federated Learning and Distributed Big Data:<br \/>\u2022 Federated learning approaches for training AI models across distributed big data sources.<br \/>\u2022 Privacy-preserving techniques and security considerations in federated learning environments.<\/p><\/li><li><p>Deep Learning Architectures for Big Data Analytics:<br \/>\u2022 Novel deep learning architectures tailored for analyzing and extracting knowledge from big data.<br \/>\u2022 Performance optimization techniques for deep learning models in handling massive datasets.<\/p><\/li><li><p>Hybrid AI Approaches for Big Data Challenges:<br \/>\u2022 Integration of symbolic AI and machine learning techniques for addressing complex big data problems.<br \/>\u2022 Hybrid AI systems for anomaly detection, pattern recognition, and predictive analytics in big data contexts.<\/p><\/li><li><p>Real-world Applications and Case Studies:<br \/>\u2022 Success stories and lessons learned from deploying AI technologies in conjunction with big data analytics.<br \/>\u2022 Industry-specific applications of emerging AI technologies and big data integration.<\/p><\/li><\/ol>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t<div class=\"elementor-element elementor-element-9533c4a e-flex e-con-boxed e-con e-parent\" data-id=\"9533c4a\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Description: The convergence of emerging artificial intelligence (AI) technologies and the proliferation of big data has revolutionized various industries, from [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center 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