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Impact and Potential of Machine Learning in the Metaverse

Om Impact and Potential of Machine Learning in the Metaverse

In the digital landscape, the Metaverse emerges as a frontier of boundless possibilities. Yet, its potential remains largely untapped. The pressing challenge lies in harnessing the power of machine learning to navigate this uncharted territory, where virtual reality, augmented reality, and immersive technologies converge to redefine human interaction and experience. Impact and Potential of Machine Learning in the Metaverse offers a comprehensive examination of how machine learning techniques can shape the future of the Metaverse. This advanced work addresses key domains such as healthcare, education, gaming, and beyond. By delving into topics like digital twins in healthcare and blockchain-enabled security, the book not only sheds light on advancements but also confronts challenges head-on, inspiring scholars to explore new research directions and interdisciplinary collaborations. Through real-world case studies and practical applications, readers gain actionable insights into leveraging machine learning for transformative impact in the Metaverse.

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  • Språk:
  • Engelsk
  • ISBN:
  • 9798369357620
  • Bindende:
  • Hardback
  • Sider:
  • 330
  • Utgitt:
  • 18. oktober 2024
  • Dimensjoner:
  • 216x279x0 mm.
  • BLACK NOVEMBER
  Gratis frakt
Leveringstid: 2-4 uker
Forventet levering: 15. desember 2024

Beskrivelse av Impact and Potential of Machine Learning in the Metaverse

In the digital landscape, the Metaverse emerges as a frontier of boundless possibilities. Yet, its potential remains largely untapped. The pressing challenge lies in harnessing the power of machine learning to navigate this uncharted territory, where virtual reality, augmented reality, and immersive technologies converge to redefine human interaction and experience. Impact and Potential of Machine Learning in the Metaverse offers a comprehensive examination of how machine learning techniques can shape the future of the Metaverse. This advanced work addresses key domains such as healthcare, education, gaming, and beyond. By delving into topics like digital twins in healthcare and blockchain-enabled security, the book not only sheds light on advancements but also confronts challenges head-on, inspiring scholars to explore new research directions and interdisciplinary collaborations. Through real-world case studies and practical applications, readers gain actionable insights into leveraging machine learning for transformative impact in the Metaverse.

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