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Reinventing Technological Innovations with Artificial Intelligence delves into the transformative impact of Augmented and Virtual Reality (AVR) technology across industries. The book explores the merging of real and digital worlds, paving the way for personalized experiences in areas such as tourism, marketing, education, and more. With the potential to redefine business practices and societal norms in the era of Industry 4.0, AVR technologies hold untapped potential beyond gaming and entertainment. This volume presents a comprehensive overview of the current landscape, challenges, and prospects of integrating AVR with Artificial Intelligence (AI) for innovation and sustainability in various domains.

The book presents 11 edited chapters contributed by technology and innovation experts that explore applications of AI, AR and VR technologies in different sectors in both public and private sectors. The editors have included reviews of technologies that impact human resource management, corporate social responsibility, healthcare, supply chain and criminal investigation. The reviews also highlight the role of AI in sustainable agriculture and smart cities.

Key Features:

Unveils the role of AVR in transforming real surroundings into digitally enhanced personal experiences.
Explores AVR's applications beyond gaming in diverse sectors like marketing, construction, education, and more.
Discusses challenges such as technical limitations, high costs, and resistance to adopting AVR.
Addresses the need to enhance the reliability and effectiveness of AVR technologies in various industries.
Provides a comprehensive perspective on AI innovations, AR, and VR technologies with real-world examples.

The book is an informative reference for researchers, professionals, and experts in technology, innovation, who are interested in the convergence of Augmented and Virtual Reality with AI for practical applications in diverse industries.

Bentham Science Publishers

Federated learning for Internet of Vehicles: IoV Image Processing, Vision and Intelligent Systems

Reinventing Technological Innovations with Artificial Intelligence

This handbook provides a comprehensive understanding of computational linguistics, focusing on the integration of deep learning in natural language processing (NLP). 18 edited chapters cover the state-of-the-art theoretical and experimental research on NLP, offering insights into advanced models and recent applications.

Highlights:

- Foundations of NLP: Provides an in-depth study of natural language processing, including basics, challenges, and applications.

- Advanced NLP Techniques: Explores recent advancements in text summarization, machine translation, and deep learning applications in NLP.

- Practical Applications: Demonstrates use cases on text identification from hazy images, speech-to-sign language translation, and word sense disambiguation using deep learning.

- Future Directions: Includes discussions on the future of NLP, including transfer learning, beyond syntax and semantics, and emerging challenges.

Key Features:

- Comprehensive coverage of NLP and deep learning integration.

- Practical insights into real-world applications

- Detailed exploration of recent research and advancements through 16 easy to read chapters

- References and notes on experimental methods used for advanced readers

Ideal for researchers, students, and professionals, this book offers a thorough understanding of computational linguistics by equipping readers with the knowledge to understand how computational techniques are applied to understand text, language and speech.

Readership

Researchers, students, and professionals in computer science and related fields (AI, ML, NLP and computational linguistics).

A Handbook of Computational Linguistics: Artificial Intelligence in Natural Language Processing

Federated learning for Internet of Vehicles: IoV Image Processing, Vision and Intelligent Systems - The book series

Federated learning for Internet of Vehicles: IoV Image Processing, Vision and Intelligent Systems - The book series

Federated learning for Internet of Vehicles: IoV Image Processing, Vision and Intelligent Systems books in order

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