Web 3.0: The Next Generation's Internet and Understanding the Concept of the Metaverse
暫譯: Web 3.0：下一代的互聯網與元宇宙概念解析
Srivastav, Prabhat Kumar, Singhal, Prateek, Roohani, Basudeo Singh
相關主題
商品描述
The book underscores AI's transformative impact on reshaping physical, digital, and biological boundaries, converging with technologies like robotics, IoT, 3D printing, genetic engineering, and quantum computing--termed Web 3.0 Industrial Revolution. This global revolution integrates advanced production techniques beyond connected machines, extending into gene sequencing, nanotechnology, renewable energies, and quantum computing. The book's main goals include providing a collaborative platform for academia and industry researchers to share contributions and shape the future through knowledge exchange. Recognizing recent progress driven by increased computing power, it highlights the positive impact of digital technology--AI, IoT, AR/VR, Additive Manufacturing, CPS, cloud computing, and robotics--on industrial efficiency and quality.
- Revolutionary AI Fusion: AI revolutionizes by blending physical, digital, and biological boundaries through cutting-edge technologies like robotics, IoT, 3D printing, genetic engineering, and quantum computing.
- Global Manufacturing Cooperation: AI creates a collaborative landscape where virtual and physical systems flexibly cooperate on a global scale.
- AI's Diverse Impact: Beyond smart machines, AI drives breakthroughs in gene sequencing, nanotechnology, renewable energies, and quantum computing, distinguishing it from prior industrial revolutions.
- Progress and Digital Interface: Recent progress, powered by computing advancements, boosts industrial efficiency. The digital technology interface (AI, IoT, AR/VR, 3D Printing, CPS, CC, Robotics) significantly impacts industrial performance.
In conclusion, AI spearheads a transformative revolution, redefining the boundaries of the physical, digital, and biological realms. The fusion of AI with Web 3.0 Industrial Revolution, integrating advanced production techniques and global manufacturing cooperation, surpassing past industrial shifts. The book aims to be a collaborative platform for academia and industry researchers, fostering knowledge exchange to shape the future. In AI-driven manufacturing within Web 3.0, a paradigm shift envisions maximum output with minimal resource use. Coupled with 'Digital Reality, ' it transforms business practices, consumer behaviour, and employment dynamics, redistributing wealth toward innovation and technology.
商品描述(中文翻譯)
這本書強調了人工智慧（AI）在重塑物理、數位和生物邊界方面的變革性影響，並與機器人技術、物聯網（IoT）、3D列印、基因工程和量子計算等技術相融合，這被稱為Web 3.0工業革命。這場全球革命整合了先進的生產技術，超越了連接的機器，延伸至基因測序、奈米技術、可再生能源和量子計算。這本書的主要目標包括提供一個學術界和產業研究人員共享貢獻的合作平台，通過知識交流塑造未來。它認識到最近由於計算能力提升所驅動的進展，並強調數位技術（AI、IoT、AR/VR、增材製造、CPS、雲計算和機器人技術）對工業效率和質量的正面影響。
- 革命性的AI融合：AI通過機器人技術、物聯網、3D列印、基因工程和量子計算等尖端技術，徹底改變了物理、數位和生物邊界的融合。
- 全球製造合作：AI創造了一個協作的環境，使虛擬和物理系統能夠在全球範圍內靈活合作。
- AI的多元影響：除了智慧機器，AI還推動了基因測序、奈米技術、可再生能源和量子計算的突破，這使其與以往的工業革命有所區別。
- 進展與數位介面：最近的進展，得益於計算技術的進步，提升了工業效率。數位技術介面（AI、IoT、AR/VR、3D列印、CPS、雲計算、機器人技術）對工業表現產生了顯著影響。
總之，AI引領了一場變革性的革命，重新定義了物理、數位和生物領域的邊界。AI與Web 3.0工業革命的融合，整合了先進的生產技術和全球製造合作，超越了過去的工業變遷。這本書旨在成為學術界和產業研究人員的合作平台，促進知識交流以塑造未來。在Web 3.0中的AI驅動製造，預見了一種範式轉變，實現最小資源使用下的最大產出。結合「數位現實」，它改變了商業實踐、消費者行為和就業動態，將財富重新分配到創新和技術上。
作者簡介
Dr. Prabhat Kumar Srivastava is currently working in IMS Engineering College as a Professor in the department of CSE. He is having 23 year of teaching and research experience. He has completed his Ph.D. from SHUATS Allahabad, M.Tech from UPTU Lucknow. His area of research is Soft Computing, Machine Learning and Fuzzy Theory. He has given valuable inputs as a guide to 25+ M.Tech students and 150+ B.Tech students in his career so far. He has published 15 Indian patents and 2 International Patents with Grants. He has published 17 Conferences Papers and 51 Journal Papers in which 3 are in SCI journal and some are in reputed journals and IEEE conferences. Worked as a Reviewer/Editorial Board Member for several reputed international journals. He also served as a Speaker, Session Chair, or Co-chair at various national and international conferences. He earned numerous international certifications such as Data Analytics, Machine Learning, and Block Chain. Currently associated with Artificial Intelligence Foundation as a Technical Advisor of Student Chapter. He is an active member of ACM, IEEE, and CSI society.
Mr. Prateek Singhal is an Assistant Professor in Department of Computer Science and Engineering, CHRIST (Deemed to be University), Delhi NCR, Ghaziabad, Uttar Pradesh, India. He is pursuing a Ph.D. degree in Medical Imaging from the Maharishi University of Information Technology, Lucknow, India. He has more than four years of experience in research and teaching. He has published several research articles in SCI/SCIE/Scopus journals and conferences of high repute. He has also authored a book on Cloud Computing. He has various National and international patents and some are granted. He holds contributions in IEEE, Elsevier, etc. reputed journals. He is in the team of the research advisory members in his present institute. His current areas of interest include Image Processing, Medical Imaging, Human Computation Interface, Neuro-Computing, Internet of Things. He is an active member of ACM and IEEE.
Mr. Basudeo Singh Roohani is currently working in the department of Computer Sc & Engg. at IMS Engineering College Ghaziabad. He did a B.Tech in Computer Sc. & Engg. from Bundelkhand Institute of Engineering & Technology (BIET), Jhansi, M.Tech in Computer Sc. from Uttar Pradesh Technical University (UPTU), Lucknow and Ph.D(p) in Computer Sc. & Engg. from Dr. A.P.J. Abdul Kalam Technical University Lucknow. He is having Research interest in the field of Design and analysis of Algorithms, Machine Learning and Deep Learning. He has twelve years of administrative experience as head, of Computer Sc. & Engg. Deptt. out of twenty-two years of experience at various reputed Institutions, to monitor all operations and activities within the department. He has attended 13 FDPs, Seminars, Workshops, Conferences and Training Programs. He also presented 09 research papers in National and International Conferences. He has published 07 Patents. He has published 03 Book Chapters. He has also published 07 Research Papers in reputed journals. He has also worked as a Conference Paper Reviewer.
Dr. Nitin Sharma, an Assistant Professor in the CSE department at IMS Engineering College, has 13 years of experience in teaching and research. His research interests include Machine Learning, Deep Learning, and Data Analytics. He has guided over 6 M. Tech and 150 B. Tech students' projects and holds 4 Indian patents. Dr. Sharmahas contributed more than 12 research papers in several International and National journals and conference proceedings of high repute. He has also attended various FDP/ STTP and Workshops on emerging technologies like Python, Power BI, and Artificial Intelligence. He has also completed 15 days of FDP on Entrepreneurship from EDII, Ahmedabad. One International Book chapter in Big Data Analytics is also in his name. He is a B. Tech in Information Technology from U.P.T.U, Lucknow and a Master in Computer Science and Engineering from Uttarakhand Technical University, Dehradun. Dr. Sharma has completed his Doctoral research in Computer Sc. And engineering from Sunrise University, Alwar (Rajasthan).
作者簡介(中文翻譯)
普拉巴特·庫馬爾·斯里瓦斯塔瓦博士目前在IMS工程學院擔任計算機科學與工程系的教授。他擁有23年的教學和研究經驗。他在SHUATS阿拉哈巴德獲得博士學位，並在UPTU勒克瑙獲得碩士學位（M.Tech）。他的研究領域為軟計算、機器學習和模糊理論。在他的職業生涯中，他作為指導老師為25名以上的碩士生和150名以上的學士生提供了寶貴的指導。他已經發表了15項印度專利和2項國際專利，並獲得資助。他發表了17篇會議論文和51篇期刊論文，其中3篇發表在SCI期刊上，還有一些發表在知名期刊和IEEE會議上。他曾擔任多個知名國際期刊的審稿人/編輯委員會成員。他還在各種國內和國際會議上擔任演講者、會議主席或共同主席。他獲得了多項國際認證，如數據分析、機器學習和區塊鏈。目前，他作為學生分會的技術顧問與人工智慧基金會合作。他是ACM、IEEE和CSI協會的活躍成員。
普拉提克·辛哈爾先生是基督教大學（被認定為大學）計算機科學與工程系的助理教授，位於印度北方邦的德里NCR，喀齊亞巴德。他正在馬哈里希信息技術大學（Maharishi University of Information Technology）攻讀醫學影像學的博士學位。他擁有超過四年的研究和教學經驗。他在SCI/SCIE/Scopus期刊和高聲譽的會議上發表了多篇研究文章。他還撰寫了一本關於雲計算的書籍。他擁有多項國內和國際專利，其中一些已獲得批准。他在IEEE、Elsevier等知名期刊上有貢獻。他是目前所在機構研究諮詢成員團隊的一員。他目前的研究興趣包括影像處理、醫學影像學、人機計算介面、神經計算、物聯網。他是ACM和IEEE的活躍成員。
巴蘇德·辛格·魯哈尼先生目前在IMS工程學院的計算機科學與工程系工作。他在邦德爾坎德工程技術學院（Bundelkhand Institute of Engineering & Technology, BIET）獲得計算機科學與工程的學士學位，並在UPTU勒克瑙獲得計算機科學的碩士學位，隨後在阿卜杜勒·卡拉姆技術大學（Dr. A.P.J. Abdul Kalam Technical University）獲得計算機科學與工程的博士（在讀）學位。他的研究興趣在於算法的設計與分析、機器學習和深度學習。在22年的各種知名機構的經驗中，他擔任計算機科學與工程系主任，擁有12年的行政經驗，負責監督系內所有運作和活動。他參加了13個FDP、研討會、工作坊、會議和培訓計劃。他還在國內和國際會議上發表了9篇研究論文。他已經發表了7項專利，並發表了3篇書籍章節。他在知名期刊上發表了7篇研究論文，並擔任過會議論文的審稿人。
尼廷·夏爾馬博士是IMS工程學院CSE系的助理教授，擁有13年的教學和研究經驗。他的研究興趣包括機器學習、深度學習和數據分析。他指導了超過6名碩士生和150名學士生的項目，並擁有4項印度專利。夏爾馬博士在多個國際和國內的高聲譽期刊及會議論文集中發表了超過12篇研究論文。他還參加了各種有關新興技術的FDP/STTP和工作坊，如Python、Power BI和人工智慧。他還完成了來自艾哈邁達巴德EDII的15天創業FDP。他在大數據分析方面也有一個國際書籍章節的著作。他擁有UPTU勒克瑙的資訊技術學士學位，以及德拉敦的烏塔拉坎德技術大學的計算機科學與工程碩士學位。夏爾馬博士在阿爾瓦爾（拉賈斯坦邦）的日出大學完成了計算機科學與工程的博士研究。
