Next-Generation Artificial Intelligence: Convergence of Neuroscience, Edge Computing, and Sustainable Technologies
暫譯: 下一代人工智慧：神經科學、邊緣運算與可持續技術的融合
Ansari, Manzoor, Ali, Syed Arshad, Alam, Mansaf
- 出版商: CRC
- 出版日期: 2026-07-27
- 售價: $5,930
- 貴賓價: 9.5 折 $5,633
- 語言: 英文
- 頁數: 346
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1041165463
- ISBN-13: 9781041165460
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相關分類:
Edge computing
尚未上市，無法訂購
商品描述
This 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. It discusses the principles of neuroscience that inspire artificial intelligence development, including neural dynamics, spiking neural networks, and the role of biological intelligence in creating adaptive systems.
Features:
- Illustrates how artificial intelligence is revolutionizing areas such as climate modelling, green energy solutions, resource management, and precision farming.
- 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.
- Discusses energy-efficient artificial intelligence, ethical considerations, and advanced concepts like neuromorphic computing and federated learning.
- Explores the convergence of neuroscience and edge computing, demonstrating real-world applications in healthcare, agriculture, robotics, and environmental sustainability.
- 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.
It 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.
商品描述(中文翻譯)
這本書結合了神經科學啟發的人工智慧、邊緣計算和可持續實踐的前沿進展，為研究人員、業界專業人士和政策制定者提供了一個引人入勝的敘述。書中討論了啟發人工智慧發展的神經科學原則，包括神經動力學、脈衝神經網絡，以及生物智慧在創造自適應系統中的角色。
特色：
- 說明人工智慧如何徹底改變氣候建模、綠色能源解決方案、資源管理和精準農業等領域。
- 處理關鍵議題，如負責任地複製人類認知、解決人工智慧系統中的偏見、保護用戶隱私，以及最小化人工智慧對環境的影響。
- 討論能源高效的人工智慧、倫理考量，以及神經形態計算和聯邦學習等先進概念。
- 探索神經科學與邊緣計算的融合，展示在醫療、農業、機器人技術和環境可持續性方面的實際應用。
- 解釋啟發人工智慧發展的神經科學原則，包括神經動力學、脈衝神經網絡，以及生物智慧在創造自適應系統中的角色。
本書主要為電機工程、電子與通信工程、計算機科學與工程以及環境工程的高年級本科生、研究生和學術研究人員所撰寫。
作者簡介
Manzoor Ansari is an Assistant Professor in the Department of Computer Science at the Institute of Information Technology & Management (IITM), GGSIP University, New Delhi. His research spans IoT-Cloud integration, machine learning, smart surveillance systems, cyber forensics, business intelligence, environmental monitoring, and AI-driven predictive modelling.
Syed Arshad Ali is an Assistant Professor in the Department of Computer Science & Applications at Sharda University, Greater Noida. His areas of expertise include Cloud Computing, Data Structures, Algorithms, Programming, Operating Systems, and Big Data technologies. Dr. Ali's research contributions cover cloud resource management, energy-efficient computing, IoT-cloud integration, big data analytics, federated learning, and NoSQL data solutions.
Mansaf Alam is working as a Professor in the Department of Computer Science, Faculty of Sciences, Jamia Millia Islamia, New Delhi. His area of research includes Artificial Intelligence, Big Data Analytics, Machine Learning and Deep Learning, Cloud Computing, and Data Mining.
作者簡介(中文翻譯)
Manzoor Ansari 是新德里資訊科技與管理學院 (IITM) 計算機科學系的助理教授。他的研究範疇包括物聯網與雲端整合、機器學習、智慧監控系統、網路取證、商業智慧、環境監測以及人工智慧驅動的預測建模。
Syed Arshad Ali 是大諾伊達的沙達大學 (Sharda University) 計算機科學與應用系的助理教授。他的專業領域包括雲端計算、資料結構、演算法、程式設計、作業系統以及大數據技術。Ali 博士的研究貢獻涵蓋雲端資源管理、能源效率計算、物聯網與雲端整合、大數據分析、聯邦學習以及 NoSQL 資料解決方案。
Mansaf Alam 目前擔任新德里賈米亞米利亞伊斯蘭大學 (Jamia Millia Islamia) 科學院計算機科學系的教授。他的研究領域包括人工智慧、大數據分析、機器學習與深度學習、雲端計算以及資料探勘。
