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This chapter explains how Artificial Intelligence (AI) is changing the way future computers are built and used in several areas of application. The book investigates AI’s impact on system design following changes in computing architectures from classical systems to quantum and neuromorphic methods, as well as on cloud-edge-fog ecosystems and optimization. Explainable AI (XAI), Federated Learning, AI-powered cybersecurity and sustainable AI are studied to understand the progress of intelligent computing. This chapter additionally reveals how AI is crucial for the growth of adapting, decentralized and intelligent networks with the use of 6G, Blockchain, Web3, IoT and Digital Twins. AI has proved valuable and helpful in several industries such as healthcare, city planning, banking and climate. Future work in AI is explored by focusing on energy-effective models, ethical practices, setting standards and helping humans and AI coexist. At the end, the chapter discusses how AI will drive computing toward intelligent behaviour everywhere (i.e., “ubiquitous”), continuous innovation and responsible monitoring and management which are vital for a solid and intelligent future society.

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AI for Next Generation Computing: Emerging Trends and Future Directions

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  • 发表日期：

    2026年

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  • Komal Mishra

摘要

This chapter explains how Artificial Intelligence (AI) is changing the way future computers are built and used in several areas of application. The book investigates AI’s impact on system design following changes in computing architectures from classical systems to quantum and neuromorphic methods, as well as on cloud-edge-fog ecosystems and optimization. Explainable AI (XAI), Federated Learning, AI-powered cybersecurity and sustainable AI are studied to understand the progress of intelligent computing. This chapter additionally reveals how AI is crucial for the growth of adapting, decentralized and intelligent networks with the use of 6G, Blockchain, Web3, IoT and Digital Twins. AI has proved valuable and helpful in several industries such as healthcare, city planning, banking and climate. Future work in AI is explored by focusing on energy-effective models, ethical practices, setting standards and helping humans and AI coexist. At the end, the chapter discusses how AI will drive computing toward intelligent behaviour everywhere (i.e., “ubiquitous”), continuous innovation and responsible monitoring and management which are vital for a solid and intelligent future society.