Pervasive Intelligence – From Architectures to Sustainable Edge AI Systems - of - Systems
Category: eBooks
- views: 63
- date: 18 September 2026
- posted by: BeMyLove

Pervasive Intelligence – From Architectures to Sustainable Edge AI Systemof - Systems | 8.76 MB
Title: Pervasive Intelligence – From Architectures to Sustainable Edge AI Systemof - Systems
Author: Vermesan, Ovidiu, Valcarenghi, Luca
Category: General Computing, Artificial Intelligence
Language: English | 232 Pages | ISBN: 9788743815235
Description:
Artificial intelligence is rapidly moving beyond centralized cloud computing into distributed edge environments, creating a new generation of intelligent systems that are autonomous, adaptive, efficient, and sustainable. Pervasive Intelligence: From Architectures to Sustainable Edge AI Systems-of-Systems explores the technologies, architectures, and engineering methodologies driving this transformation. Written by leading researchers and industry experts, the book provides a comprehensive examination of edge AI, covering topics such as embedded AI acceleration, active inference agents, hardware-software co-design, distributed orchestration, privacy-preserving intelligence, and sustainable computing. It bridges theory and practice by addressing key deployment challenges, including real-time speech enhancement, neural network optimization for embedded devices, AI benchmarking on ARM processors, FPGA-based acceleration, and trustworthy AI systems operating at the edge. A recurring theme is the emergence of edge AI systems-of-systems, in which intelligent agents, sensors, devices, and computing resources collaborate seamlessly across the edge-to-cloud continuum. The book highlights the importance of interoperability, resilience, trustworthiness, adaptive autonomy, and energy efficiency in building next-generation intelligent infrastructures. Drawing on practical applications in robotics, autonomous systems, surveillance, smart agriculture, environmental forecasting, and cyber-physical systems, the contributors demonstrate how pervasive intelligence is transforming industries and enabling more responsive, data-driven decision-making. By combining advances in artificial intelligence with systems engineering, control theory, and physics-informed modeling, this volume offers both a strategic vision and a technical framework for the future of sustainable edge intelligence. An essential resource for researchers, engineers, system architects, and advanced students, this book provides the knowledge and tools needed to design, deploy, and manage intelligent systems operating at the edge.
DOWNLOAD:
https://rapidgator.net/file/cb3c5d91d9c22b957285b757c186eaf1/Pervasive_Intelligence_-_From_Architectures_to_Sustainable_Edge_AI_Systems-of-Systems.rar
https://nitroflare.com/view/7D6D079E1CC3EF2/Pervasive_Intelligence_-_From_Architectures_to_Sustainable_Edge_AI_Systems-of-Systems.rar
Artificial intelligence is rapidly moving beyond centralized cloud computing into distributed edge environments, creating a new generation of intelligent systems that are autonomous, adaptive, efficient, and sustainable. Pervasive Intelligence: From Architectures to Sustainable Edge AI Systems-of-Systems explores the technologies, architectures, and engineering methodologies driving this transformation. Written by leading researchers and industry experts, the book provides a comprehensive examination of edge AI, covering topics such as embedded AI acceleration, active inference agents, hardware-software co-design, distributed orchestration, privacy-preserving intelligence, and sustainable computing. It bridges theory and practice by addressing key deployment challenges, including real-time speech enhancement, neural network optimization for embedded devices, AI benchmarking on ARM processors, FPGA-based acceleration, and trustworthy AI systems operating at the edge. A recurring theme is the emergence of edge AI systems-of-systems, in which intelligent agents, sensors, devices, and computing resources collaborate seamlessly across the edge-to-cloud continuum. The book highlights the importance of interoperability, resilience, trustworthiness, adaptive autonomy, and energy efficiency in building next-generation intelligent infrastructures. Drawing on practical applications in robotics, autonomous systems, surveillance, smart agriculture, environmental forecasting, and cyber-physical systems, the contributors demonstrate how pervasive intelligence is transforming industries and enabling more responsive, data-driven decision-making. By combining advances in artificial intelligence with systems engineering, control theory, and physics-informed modeling, this volume offers both a strategic vision and a technical framework for the future of sustainable edge intelligence. An essential resource for researchers, engineers, system architects, and advanced students, this book provides the knowledge and tools needed to design, deploy, and manage intelligent systems operating at the edge.
DOWNLOAD:
https://rapidgator.net/file/cb3c5d91d9c22b957285b757c186eaf1/Pervasive_Intelligence_-_From_Architectures_to_Sustainable_Edge_AI_Systems-of-Systems.rar
https://nitroflare.com/view/7D6D079E1CC3EF2/Pervasive_Intelligence_-_From_Architectures_to_Sustainable_Edge_AI_Systems-of-Systems.rar
We need your support!
Make a donation to help us stay online
Bitcoin (BTC)
bc1q08g9d22cxkawsjlf8etuek2pc9n2a3hs4cdrld
Bitcoin Cash (BCH)
qqvwexzhvgauxq2apgc4j0ewvcak6hh6lsnzmvtkem
Ethereum (ETH)
0xb55513D2c91A6e3c497621644ec99e206CDaf239
Litecoin (LTC)
ltc1qt6g2trfv9tjs4qj68sqc4uf0ukvc9jpnsyt59u
USDT (ERC20)
0xb55513D2c91A6e3c497621644ec99e206CDaf239
USDT (TRC20)
TYdPNrz7v1P9riWBWZ317oBgJueheGjATm
Information |
|||
![]() |
Users of GUESTS are not allowed to comment this publication. | ||









