This is a pattern matching technique that is used in machine learning, especially with quantum annealing. It can be formulated as minimizing a quadratic polynomial over binary variables.
Published in Chapter:
Next Generation of Intelligent Cities: Case Studies From Europe
Vijayaraghavan Varadharajan (Infosys Ltd, Bangalore, India) and Rian Leevinson J. (Infosys Ltd, Bangalore, India)
Copyright: © 2021
|Pages: 25
DOI: 10.4018/978-1-7998-5062-5.ch004
Abstract
Over the past decade, intelligent cities have undergone rapid transformation. The definition of an intelligent city may vary based on the context and the purpose served. However, the next generation of intelligent cities will have unique characteristics that will set them apart from the existing intelligent cities. They will be more people-centered, and they will be formed through the fusion of technology, government, organizations, and people. This chapter explores four intelligent cities in Europe that are setting examples for innovation, ingenuity, technology, public policy making, and sustainable development: London, Amsterdam, Vienna, and Stockholm. With growing emphasis on people involvement in decision making, the intelligent city ecosystem is continuously evolving. However, technology continues to play a prominent role in shaping the intelligent city paradigm. In this contribution, the authors also examine different emerging technologies such as quantum computing, autonomous vehicles, AI, ML, etc. that could potentially impact the next generation of such cities.