AI For Emerging Verticals : Human-robot computing, sensing and networking

AI For Emerging Verticals : Human-robot computing, sensing and networking

Author
Naeem Ramzan, Muhammad Zeeshan Shakir
Publication Year
2020
Publisher
Springer
Language
English
Document Type
Book
Faculty / Subject Heading
Computer Science

Artificial intelligence (AI) and machine learning (ML) will play a major role. By adopting AI software and services, businesses can create predictive strategies, enhance their capabilities, better interact with customers, and streamline their business processes. Explores novel concepts and cutting-edge research and developments towards designing these fully automated advanced digital systems. Fostered by technological advances in artificial intelligence and machine learning, such systems potentially have a wide range of applications in robotics, human computing, sensing and networking. The chapters focus on models and theoretical approaches to guarantee automation in large multi-scale implementations of AI and ML systems; protocol designs to ensure AI systems meet key requirements for future services such as latency; and optimisation algorithms to leverage the trusted distributed and efficient complex architectures.


Keywords: Computer science / Artificial intelligence / Machine learning / AI software / Robotics / Human computing / Sensing / Networking / Algorithms