Integration of AI Theory and Applications in Diverse Industries
暫譯: 人工智慧理論與應用於多元產業的整合
Mishra, Aditya Kumar, Rathore, Yogesh Kumar, Swarnkar, Suman Kumar
- 出版商: Springer
- 出版日期: 2026-05-01
- 售價: $2,040
- 貴賓價: 9.8 折 $1,999
- 語言: 英文
- 頁數: 254
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 3032183219
- ISBN-13: 9783032183217
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相關分類:
Machine Learning
海外代購書籍(需單獨結帳)
商品描述
The book explores the ways artificial intelligence (AI) theory is being applied to an extremely diverse range of industries, illustrating just how robust and adaptable this technology has become. AI is revolutionizing the way the world operates by allowing machines to learn from data, make choices, and even resolve problems similar to a human, but quicker and oftentimes more precisely. From its integration into innovative applications such as smart assistants and personalized suggestions to the application of quantum machine learning in identifying multifunctional materials for future technologies, AI is breaking boundaries everywhere. Within the book, every chapter explores a particular industry including energy, healthcare, manufacturing, and business and how AI is not only a theoretical idea, but a real-world tool that fuels innovation. For example, a variety of topics are examined such as how AI is central to the computational design of semiconductors, which are critical to electronics and emerging tech innovations. In manufacturing, AI solves challenges in virtual metrology, enhancing the precision and efficiency of production lines. The book also showcases how AI enables sustainability and assists in energy management and the fight against climate change. Oil and gas industries are getting smarter and more efficient with the application of AI to optimize operations and safety. In healthcare, AI is transforming preventive care, assisting doctors in identifying diseases at an early stage and tailoring treatments. The book also dives into the deployment of AI on devices such as smartphones and wearables, enabling real-time, privacy-focused decision-making. Businesses benefit from AI's capability in data-driven decision-making, leading to smarter strategies and faster growth. Lastly, AI is enhancing our interaction with technology through immersive AR/VR experiences, making them more intuitive and responsive. This book encourages interdisciplinary thinking between energy, healthcare, and business fields.
商品描述(中文翻譯)
這本書探討了人工智慧(AI)理論如何應用於各種不同的產業,展示了這項技術的強大與適應性。AI 正在徹底改變世界的運作方式,讓機器能夠從數據中學習、做出選擇,甚至像人類一樣解決問題,但速度更快且通常更精確。從其整合到創新的應用中,如智慧助手和個性化建議,到量子機器學習在識別未來技術的多功能材料中的應用,AI 在各個領域都在打破界限。書中的每一章都探討了一個特定的產業,包括能源、醫療保健、製造業和商業,並且說明了 AI 不僅僅是一個理論概念,而是一個推動創新的現實工具。例如,書中檢視了多個主題,如 AI 在半導體計算設計中的核心地位,這對電子產品和新興技術創新至關重要。在製造業中,AI 解決了虛擬計量中的挑戰,提高了生產線的精確度和效率。這本書還展示了 AI 如何促進可持續發展,協助能源管理和應對氣候變化。石油和天然氣產業透過應用 AI 來優化操作和安全性,變得更加智能和高效。在醫療保健方面,AI 正在改變預防性護理,協助醫生在早期識別疾病並量身定制治療方案。書中還深入探討了 AI 在智能手機和可穿戴設備上的部署,使得即時且注重隱私的決策成為可能。企業從 AI 的數據驅動決策能力中受益,導致更智能的策略和更快的增長。最後,AI 透過沉浸式的擴增實境(AR)/虛擬實境(VR)體驗增強了我們與技術的互動,使其變得更加直觀和反應靈敏。這本書鼓勵能源、醫療保健和商業領域之間的跨學科思考。
作者簡介
Aditya Mishra, Ph.D., is a Lithography and Device Integration Yield Engineer at Intel Corporation in Oregon, USA. He received his Ph.D. from the University of Texas at Dallas. Dr. Mishra has authored numerous peer-reviewed publications in the field of optoelectronics and semiconductor technology, with his work appearing in prestigious, highly-cited academic journals. In recognition of his significant contributions to perovskite-based optoelectronic device research, he was awarded the SPIE Fellowship in 2022. His technical expertise includes CMOS Semiconductor Process Integration, electron beam metrology, electron beam lithography, and failure analysis methodologies.
Yogesh Kumar Rathore, Ph.D., is an Assistant Professor in the Department of Computer Science and Engineering at Shri Shankaracharya Institute of Professional Management and Technology in Raipur, India. He completed his Ph.D. in Information Technology from the National Institute of Technology, Raipur. Before that, he completed his M. Tech. from Chhattisgarh Swami Vivekanand Technical University and his B. Eng. from Pt. Ravishankar Shukla University. He has published two edited books, contributed chapters to internationally edited books, and authored a textbook on data mining. Dr. Rathore has also been involved in patenting with three Indian patents published and two USA-granted patents, showcasing his expertise in the field of computer science engineering.
Suman Kumar Swanrkar, Ph.D., is an Assistant Professor in the Department of Computer Science and Engineering at Shri Shankaracharya Institute of Professional Management and Technology in Raipur, India. He received his Ph.D. (CSE) from Kalinga University, Nayaraipur and his M.Tech. (CSE) from Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal, India. He has contributed to book chapters published by Elsevier and Springer and is a member of IEEE, IAENG, ASR, IFERP, ICSES, Internet Society, UACEE, IAOP, IAOIP, EAI, and CSTA. Dr. Swanrkar's research interests include intelligent data analysis, nature-inspired computing, machine learning, and soft computing.
作者簡介(中文翻譯)
Aditya Mishra 博士是美國俄勒岡州英特爾公司的一名光刻與器件整合良率工程師。他在德克薩斯州達拉斯大學獲得博士學位。Mishra 博士在光電和半導體技術領域發表了多篇經過同行評審的論文,其研究成果出現在多本享有盛譽且被高度引用的學術期刊上。因其在鈣鈦礦基光電器件研究方面的重大貢獻,他於 2022 年獲得 SPIE Fellowship 獎項。他的技術專長包括 CMOS 半導體製程整合、電子束計量、電子束光刻和失效分析方法。
Yogesh Kumar Rathore 博士是印度萊普爾的 Shri Shankaracharya 專業管理與技術學院計算機科學與工程系的助理教授。他在萊普爾國立技術學院獲得資訊技術博士學位。在此之前,他在恰蒂斯加爾斯瓦米維韋卡南德技術大學獲得碩士學位,並在拉維尚卡爾舒克拉大學獲得工程學士學位。他出版了兩本編輯書籍,為國際編輯書籍貢獻了章節,並撰寫了一本關於資料探勘的教科書。Rathore 博士還參與了專利申請,擁有三項已發表的印度專利和兩項美國授予的專利,展示了他在計算機科學工程領域的專業知識。
Suman Kumar Swanrkar 博士是印度萊普爾的 Shri Shankaracharya 專業管理與技術學院計算機科學與工程系的助理教授。他在奈亞萊普爾的卡林加大學獲得計算機科學博士學位,並在印度博帕爾的拉吉夫甘地技術大學獲得計算機科學碩士學位。他為 Elsevier 和 Springer 出版的書籍貢獻了章節,並且是 IEEE、IAENG、ASR、IFERP、ICSES、網際網路協會、UACEE、IAOP、IAOIP、EAI 和 CSTA 的成員。Swanrkar 博士的研究興趣包括智能數據分析、自然啟發計算、機器學習和軟計算。