The Spectrum of Computer Science: Emerging Technologies and Trends
暫譯: 計算機科學的光譜：新興技術與趨勢
Sardar, Tanvir Habib
- 出版商: Springer
- 出版日期: 2026-04-14
- 售價: $8,140
- 貴賓價: 9.5 折 $7,733
- 語言: 英文
- 頁數: 258
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 3032196310
- ISBN-13: 9783032196316
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相關分類:
Computer-Science、Machine Learning、Edge computing
海外代購書籍(需單獨結帳)
商品描述
This book explores the foundational principles and emerging advancements shaping modern computing, bridging theory and practice across technologies, transforming today's world. It begins with an introduction to modern computer science before covering key topics such as generative AI, creative content generation, quantum computing, data analytics, and machine learning. Ethical aspects of AI are highlighted to encourage responsible innovation. Chapters on big data and data science show how large datasets drive insights. The book also examines blockchain, edge computing, and IoT, with applications in finance, health care, and logistics. Additional sections include robotics, cybersecurity, human-computer interaction, and cloud computing, emphasizing their roles in building secure, connected systems. Blending core and emerging concepts of computer science with case studies, the book equips students, researchers, professionals, and enthusiasts to navigate an evolving technological landscape.
商品描述(中文翻譯)
本書探討了塑造現代計算的基礎原則和新興進展，橋接理論與實踐，改變當今世界。書中首先介紹了現代計算機科學，然後涵蓋了關鍵主題，如生成式人工智慧（generative AI）、創意內容生成、量子計算、數據分析和機器學習。書中強調了人工智慧的倫理方面，以鼓勵負責任的創新。關於大數據和數據科學的章節展示了大型數據集如何驅動洞察。該書還探討了區塊鏈、邊緣計算和物聯網（IoT），並在金融、醫療保健和物流等領域的應用。附加部分包括機器人技術、網絡安全、人機互動和雲計算，強調它們在構建安全、互聯系統中的角色。通過將計算機科學的核心概念與新興概念及案例研究相結合，本書使學生、研究人員、專業人士和愛好者能夠在不斷演變的技術環境中導航。
作者簡介
Dr. Tanvir Habib Sardar is Associate Professor in the Department of Computer Science and Engineering, School of Engineering, at Dayananda Sagar University, Bengaluru, India. With over 17 years of academic and research experience, he specializes in big data, machine learning, distributed computing, artificial intelligence, and emerging computing paradigms. He has published 62 Scopus-indexed research articles, authored and edited over ten books, and holds more than a dozen patents. Dr. Sardar's current research focuses on scalable machine learning models, including quantum computing, quantum-optimized intelligent systems, neuro-fuzzy computing, and deep learning, alongside distributed frameworks such as Hadoop. His work bridges theoretical foundations with real-world application, fostering innovation, problem-solving, and critical thinking among students and researchers. Beyond his scholarly contributions, he actively engages in curriculum development, accreditation processes, and mentoring initiatives that support future-ready engineering education.
作者簡介(中文翻譯)
坦維爾·哈比布·薩達爾博士是印度班加羅爾的達雅南達薩卡大學工程學院計算機科學與工程系的副教授。擁有超過17年的學術和研究經驗，他專注於大數據、機器學習、分散式計算、人工智慧以及新興計算範式。他已發表62篇Scopus索引的研究文章，撰寫和編輯超過十本書籍，並擁有十多項專利。
薩達爾博士目前的研究重點是可擴展的機器學習模型，包括量子計算、量子優化智能系統、神經模糊計算和深度學習，以及像Hadoop這樣的分散式框架。他的工作將理論基礎與實際應用相結合，促進學生和研究人員的創新、問題解決和批判性思維。除了學術貢獻外，他還積極參與課程開發、認證過程和支持未來工程教育的導師計劃。
