Handbook of Research on Ai-based Technologies and Applications in the Era of the Metaverse
Book information
Description
The recent advancements in the field of the internet of things (IoT), AI, big data, blockchain, augmented reality (AR)/virtual reality (VR), cloud platforms, quantum computing, cybersecurity, and telecommunication technology enabled the promotion of conventional computer-aided industry to the metaverse ecosystem that is powered by AR/VR-driven technologies. In this paradigm shift, the integrated technologies of IoT and AI play a vital role to connect the cyberspace of computing systems and virtual environments. AR/VR supports a huge range of industrial applications such as logistics, the food industry, and manufacturing utilities. AI-Based Technologies and Applications in the Era of the Metaverse discusses essential components of the metaverse ecosystem such as concepts, methodologies, technologies, modeling, designs, statistics, implementation, and maintenance. Covering key topics such as machine learning, deep learning, quantum computing, and blockchain, this premier reference source is ideal for computer scientists, industry professionals, researchers, academicians, scholars, practitioners, instructors, and students.
Similar books
Big Data, Cloud Computing and IoT
Cloud and Fog Computing Platforms for Internet of Things (Chapman & Hall/Crc Cloud Computing for Society 5.0)
2022 · PDF
AI-Oriented Competency Framework for Talent Management in the Digital Economy
2024 · PDF
Blockchain for IoT Systems: Concept, Framework and Applications (Chapman & Hall/CRC Blockchain for Smart and Green Society)
2024 · RAR
Blockchain for IoT Systems: Concept, Framework and Applications (Chapman & Hall/CRC Blockchain for Smart and Green Society)
2024 · PDF
AI and IoT Technology and Applications for Smart Healthcare Systems (Advances in Computational Collective Intelligence)
2024 · PDF
Integration of AI-Based Manufacturing and Industrial Engineering Systems with the Internet of Things (Intelligent Manufacturing and Industrial Engineering)
2023 · PDF
Machine Learning for Sustainable Manufacturing in Industry 4.0: Concept, Concerns and Applications (Mathematical Engineering, Manufacturing, and Management Sciences)
2023 · PDF