Abstract

This book explores novel concepts and practices, cutting edge research and development, and policy and regulations with the long term and sustainable goal of designing fully automated advanced digital systems fostered by the technological advancements of Artificial Intelligence and Machine Learning for a broad range of applications (robotics, human computing, sensing and networking). The authors 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.
LanguageEnglish
PublisherIET
StateIn preparation - 23 Oct 2018

Fingerprint

Artificial intelligence
Learning systems
Robotics
Automation
Robots

Cite this

@book{5573afde6634424285944e4a8971e2c4,
title = "AI for emerging verticals: human-robot computing, sensing and networking",
abstract = "This book explores novel concepts and practices, cutting edge research and development, and policy and regulations with the long term and sustainable goal of designing fully automated advanced digital systems fostered by the technological advancements of Artificial Intelligence and Machine Learning for a broad range of applications (robotics, human computing, sensing and networking). The authors 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.",
author = "Shakir, {Muhammad Zeeshan} and Naeem Ramzan",
year = "2018",
month = "10",
day = "23",
language = "English",
publisher = "IET",

}

TY - BOOK

T1 - AI for emerging verticals

T2 - human-robot computing, sensing and networking

AU - Shakir,Muhammad Zeeshan

AU - Ramzan,Naeem

PY - 2018/10/23

Y1 - 2018/10/23

N2 - This book explores novel concepts and practices, cutting edge research and development, and policy and regulations with the long term and sustainable goal of designing fully automated advanced digital systems fostered by the technological advancements of Artificial Intelligence and Machine Learning for a broad range of applications (robotics, human computing, sensing and networking). The authors 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.

AB - This book explores novel concepts and practices, cutting edge research and development, and policy and regulations with the long term and sustainable goal of designing fully automated advanced digital systems fostered by the technological advancements of Artificial Intelligence and Machine Learning for a broad range of applications (robotics, human computing, sensing and networking). The authors 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.

M3 - Book

BT - AI for emerging verticals

PB - IET

ER -