[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-116016-en":3,"doc-seo-116016-105":31,"detail-sidebar-cat-0-en-105":93},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":20,"is_deleted":4,"is_public":21,"is_downloadable":21,"audit_status":21,"page_count":22,"language":23,"language_code":24,"site_id":25,"html_lang":24,"table_of_contents":26,"faqs":27,"seo_title":28,"seo_description":14,"update_tm":29,"read_time":30},116016,962085564549,"Genevieve","https://ap-avatar.wpscdn.com/davatar_085a072bc5b1113ac321206ff7593b45",8,"Research & Report","Next-Generation Artificial Intelligence - Convergence of Neuroscience, Edge Computing, and Sustainable Technologies","Next-Generation Artificial Intelligence presents an interdisciplinary framework that links neuroscience-inspired AI, edge computing, and sustainable technologies to address urgent global challenges. The coverage includes climate modeling, green energy solutions, resource management, precision farming, and real-world applications across health care, agriculture, robotics, and environmental sustainability. Key themes include responsible replication of human cognition, bias mitigation, user privacy protection, energy-efficient AI, and ethical deployment, alongside neuromorphic computing and federated learning.","Next-Generation Artificial Intelligence  \nThis book combines cutting-edge advancements in neuroscience-inspired artificial intelligence, edge computing, and sustainable practices, presenting a compelling narrative for researchers, industry professionals, and policymakers alike.  \nFeatures:  \n• Illustrates how artificial intelligence is revolutionizing areas such as climate modeling, green energy solutions, resource management, and precision farming.  \n• Addresses critical issues such as replicating human cognition responsibly, addressing bias in artificial intelligence systems, protecting user privacy, and minimizing the environmental impact of artificial intelligence.  \n• Discusses energy-efficient artificial intelligence, ethical considerations, and advanced concepts like neuromorphic computing and federated learning.  \n• Explores the convergence of neuroscience and edge computing, demonstrating realworld applications in health care, agriculture, robotics, and environmental sustainability.  \n• Explains principles of neuroscience that inspire artificial intelligence development, including neural dynamics, spiking neural networks, and the role of biological intelligence in creating adaptive systems.  \nIt is primarily written for senior undergraduates, graduate students, and academic researchers in electrical engineering, electronics and communications engineering, computer science and engineering, and environmental engineering.  \nNext-Generation Artificial Intelligence  \nConvergence of Neuroscience, Edge Computing, and Sustainable Technologies  \nEdited by  \nManzoor Ansari  \nSyed Arshad Ali  \nMansaf Alam  \nFirst edition published 2027 by CRC Press  \n2385 NW Executive Center Drive, Suite 320, Boca Raton FL 33431 and by CRC Press  \n4 Park Square, Milton Park, Abingdon, Oxon, OX14 4RNCRC Press is an imprint of Taylor & Francis Group, LLC  \n© 2027 selection and editorial matter, Manzoor Ansari, Syed Arshad Ali and Mansaf Alam; individual chapters, the contributors  \nReasonable efforts have been made to publish reliable data and information, but the author and publisher cannot assume responsibility for the validity of all materials or the consequences of their use. The authors and publishers have attempted to trace the copyright holders of all material reproduced in this publication and apologize to copyright holders if permission to publish in this form has not been obtained. If any copyright material has not been acknowledged please write and let us know so we may rectify in any future reprint.  \nExcept as permitted under U.S. Copyright Law, no part of this book may be reprinted, reproduced, transmitted, or utilized in any form by any electronic, mechanical, or other means, now known or hereafter invented, including photocopying, microfilming, and recording, or in any information storage or retrieval system, without written permission from the publishers.  \nFor permission to photocopy or use material electronically from this work, access www.copyright.com or contact the Copyright Clearance Center, Inc. (CCC), 222 Rosewood Drive, Danvers, MA 01923, 978-750-8400. For works  \nthat are not available on CCC please [contact mpkbookspermissions@tandf.co.uk](contact mpkbookspermissions@tandf.co.uk)  \nFor Product Safety Concerns and Information please contact [our EU representative GPSR@taylorandfrancis.com](our EU representative GPSR@taylorandfrancis.com). Taylor & Francis Verlag GmbH, Kaufingerstraße 24, 80331 München, Germany.  \nTrademark notice: Product or corporate names may be trademarks or registered trademarks and are used only for identification and explanation without intent to infringe.  \nISBN: 978-1-041-16546-0 (hbk)  \nISBN: 978-1-041-16667-2 (pbk)  \nISBN: 978-1-003-68589-0 (ebk)  \nDOI: 10. 1201/9781003685890 Typeset in Sabon  \nby SPi Technologies India Pvt Ltd (Straive)  \nContents  \nAcknowledgments vii  \nPreface viii  \nAbout the editors ix  \nContributors xi  \n1 Introduction to neuromorphic computing 1  \nSAYED ABDULHAYAN, LAHAR","cbCaimzGU41CW9P8","https://ap.wps.com/l/cbCaimzGU41CW9P8","pdf",51582786,7,1,361,"English","en",105,"# Acknowledgments\n# Preface\n# About the editors\n# Contributors\n# Introduction to neuromorphic computing\n# Computational modeling of genetic algorithms: DNA encoding, mutation, and evolutionary optimization\n# Smart diagnostic system for cardiovascular, neural, and muscular health using AI-based ECG, EEG, and EMG processing\n# Application of AI in healthcare\n# Drone-enabled IoT-integrated smart health-care system for reducing ambulance delays and mortality in emergency conditions\n# Detecting cancer stages in patients using machine learning integrated with Classification Threshold Tuner\n# Lung cancer stage detection system using machine learning\n# Harnessing neuroplasticity: Advances in brain recovery and cognitive rehabilitation\n# AI-integrated diagnostic models for neurological disorders: Current trends, technologies, and future directions\n# Deep learning-based approaches for enhancing battery prognostics and health management\n# A review on applications of artificial intelligence in hydrogen energy\n# An in-depth review of electric vehicles within the framework of super smart grids\n# AI-driven energy optimization in edge data centers: The 4-Gear Predictive Threshold (4-GPT) framework\n# Transforming agriculture and environmental monitoring with artificial intelligence: Advancing sustainability and precision","[{\"question\":\"What main areas does the book connect in next-generation AI research?\",\"answer\":\"It connects neuroscience-inspired artificial intelligence, edge computing, and sustainable technologies, linking theory to applied domains such as health care, agriculture, robotics, and environmental monitoring.\"},{\"question\":\"Which ethical and societal concerns are addressed?\",\"answer\":\"The book focuses on responsible replication of human cognition, bias mitigation, and protecting user privacy, alongside minimizing the environmental impact of AI.\"},{\"question\":\"What advanced AI concepts and techniques are discussed?\",\"answer\":\"It covers energy-efficient AI approaches and advanced ideas such as neuromorphic computing and federated learning, as well as neuroscience principles like neural dynamics and spiking neural networks.\"}]","Next-Generation Artificial Intelligence - Convergence of Neuroscience, Edge Computing, and Sustainable Technologies | PDF",1785480162,910,{"code":4,"msg":32,"data":33},"ok",{"site_id":25,"language":24,"slug":34,"title":13,"keywords":35,"description":14,"schema_data":36,"social_meta":88,"head_meta":90,"extra_data":92,"updated_unix":29},"next-generation-artificial-intelligence-convergence-of-neuroscience-edge-computing-and-sustainable-technologies","",{"@graph":37,"@context":87},[38,55,70],{"@type":39,"itemListElement":40},"BreadcrumbList",[41,45,49,52],{"item":42,"name":43,"@type":44,"position":21},"https://docshare.wps.com","Home","ListItem",{"item":46,"name":47,"@type":44,"position":48},"https://docshare.wps.com/document/","Document",2,{"item":50,"name":12,"@type":44,"position":51},"https://docshare.wps.com/document/research-report/",3,{"item":53,"name":13,"@type":44,"position":54},"https://docshare.wps.com/document/next-generation-artificial-intelligence-convergence-of-neuroscience-edge-computing-and-sustainable-technologies/116016/",4,{"url":53,"name":13,"@type":56,"author":57,"headline":13,"publisher":59,"fileFormat":62,"inLanguage":24,"description":14,"dateModified":63,"datePublished":64,"encodingFormat":62,"isAccessibleForFree":65,"interactionStatistic":66},"DigitalDocument",{"name":9,"@type":58},"Person",{"url":42,"name":60,"@type":61},"DocShare","Organization","application/pdf","2026-08-24","2026-07-31",true,{"@type":67,"interactionType":68,"userInteractionCount":20},"InteractionCounter",{"@type":69},"ViewAction",{"@type":71,"mainEntity":72},"FAQPage",[73,79,83],{"name":74,"@type":75,"acceptedAnswer":76},"What main areas does the book connect in next-generation AI research?","Question",{"text":77,"@type":78},"It connects neuroscience-inspired artificial intelligence, edge computing, and sustainable technologies, linking theory to applied domains such as health care, agriculture, robotics, and environmental monitoring.","Answer",{"name":80,"@type":75,"acceptedAnswer":81},"Which ethical and societal concerns are addressed?",{"text":82,"@type":78},"The book focuses on responsible replication of human cognition, bias mitigation, and protecting user privacy, alongside minimizing the environmental impact of AI.",{"name":84,"@type":75,"acceptedAnswer":85},"What advanced AI concepts and techniques are discussed?",{"text":86,"@type":78},"It covers energy-efficient AI approaches and advanced ideas such as neuromorphic computing and federated learning, as well as neuroscience principles like neural dynamics and spiking neural networks.","https://schema.org",{"og:url":53,"og:type":89,"og:title":13,"og:site_name":60,"og:description":14},"article",{"robots":91,"canonical":53},"index,follow",{"doc_id":7,"site_id":25},{"code":4,"msg":5,"data":94},[95,99,103,107,112,117,121,124,129,132,136],{"id":21,"doc_module":4,"doc_module_name":47,"category_name":96,"show_sort_weight":97,"slug":98},"Story & Novel",90,"story-novel",{"id":48,"doc_module":4,"doc_module_name":47,"category_name":100,"show_sort_weight":101,"slug":102},"Literature",80,"literature",{"id":54,"doc_module":4,"doc_module_name":47,"category_name":104,"show_sort_weight":105,"slug":106},"Exam",70,"exam",{"id":108,"doc_module":4,"doc_module_name":47,"category_name":109,"show_sort_weight":110,"slug":111},5,"Comic",60,"comic",{"id":113,"doc_module":4,"doc_module_name":47,"category_name":114,"show_sort_weight":115,"slug":116},6,"Technology",50,"technology",{"id":20,"doc_module":4,"doc_module_name":47,"category_name":118,"show_sort_weight":119,"slug":120},"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":47,"category_name":12,"show_sort_weight":122,"slug":123},30,"research-report",{"id":125,"doc_module":4,"doc_module_name":47,"category_name":126,"show_sort_weight":127,"slug":128},9,"Religion & Spirituality",20,"religion-spirituality",{"id":127,"doc_module":4,"doc_module_name":47,"category_name":130,"show_sort_weight":127,"slug":131},"World Cup","world-cup",{"id":133,"doc_module":4,"doc_module_name":47,"category_name":134,"show_sort_weight":133,"slug":135},10,"Lifestyle","lifestyle",{"id":137,"doc_module":4,"doc_module_name":47,"category_name":138,"show_sort_weight":108,"slug":139},19,"General","general"]