Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Impact and Potential of Machine Learning in the Metaverse

Impact and Potential of Machine Learning in the Metaverse

Mehta, Shilpa
Gupta, Shashi Kant
Aljohani, Abeer Ahmed

Paperback

General Computers

ISBN13: 9798369357637
Publisher: Igi Global Scientific Publishing
Published: Aug 9 2024
Pages: 440
Weight: 1.67
Height: 0.89 Width: 7.00 Depth: 10.00
Language: English
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. This book serves as a catalyst for innovation and progress in academia and industry alike. As researchers, academics, and practitioners grapple with the complexities of the digital frontier, this book offers a roadmap for navigating uncharted territory, fostering a deeper understanding of the convergence between machine learning and the Metaverse. With its forward-thinking approach and actionable solutions, this publication equips scholars with the knowledge and tools needed to shape the future of human-machine interaction and immersive experiences in the Metaverse.

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