Artificial Intelligence in the Smart Everything and Everywhere Era

A special issue of AI (ISSN 2673-2688).

Deadline for manuscript submissions: closed (31 May 2021) | Viewed by 11200

Special Issue Editors


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Guest Editor
ALGORITMI Research Centre, Universidade do Minho, 4800-058 Guimarães, Portugal
Interests: neural networks; pattern recognition; machine learning; image processing; outdoor robotics; artificial intelligence; indoor localization and positioning
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Institute of New Imaging Technologies (INIT), Universitat Jaume I, Av. Vicente Sos Baynat s/n, 12071 Castelló de la Plana, Spain
Interests: Internet of Things; sensor web; interoperability; GIS; computer science
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Companies and the industrial sector are adapting their products, services, processes, and business models to the new digital era. We have already crossed the door step of the 4th Industrial Revolution and so-called Industry 4.0 is transforming our economy and society by satisfying customers’ needs in a timely fashion. Advertising on the internet is also now more focused on our habits and needs, targeting the products we are demanding. Additionally, IoT technologies have joined our daily lives, enabling smart homes and e-health solutions for ageing in place- and ambient-assisted living.  Even, the cities are using state-of-the-art technologies for smart and crowdsourced pollution monitors, processing open data, and engaging citizens in decision making. The new smart paradigms have something in common: they are built on top of a multitude of available data that need to be processed. This is where traditional machine learning and state-of-the-art deep learning techniques are playing a key role in finding hidden relations, and are making sense of the huge volumes of data collected by companies, organizations. and governments. 

This Special Issue encourages authors, from academia and industry, to submit new research results about technological innovations and novel applications for smart-anything based on machine and/or deep learning. The Special Issue topics include but are not limited to the following:

  • Smart cities;
  • Smart factories;
  • Smart farming; 
  • Ambient-assisted living;
  • Ageing in place;
  • Big data;
  • Deep learning;
  • Internet of Things;
  • Security;
  • Privacy.

Dr. Joaquín Torres-Sospedra
Dr. Sergio Trilles Oliver
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. AI is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (1 paper)

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6 pages, 230 KiB  
Viewpoint
Cities of the Future? The Potential Impact of Artificial Intelligence
by Eva Kassens-Noor and Arend Hintze
AI 2020, 1(2), 192-197; https://doi.org/10.3390/ai1020012 - 13 May 2020
Cited by 14 | Viewed by 9839
Abstract
Artificial intelligence (AI), like many revolutionary technologies in human history, will have a profound impact on societies. From this viewpoint, we analyze the combined effects of AI to raise important questions about the future form and function of cities. Combining knowledge from computer [...] Read more.
Artificial intelligence (AI), like many revolutionary technologies in human history, will have a profound impact on societies. From this viewpoint, we analyze the combined effects of AI to raise important questions about the future form and function of cities. Combining knowledge from computer science, urban planning, and economics while reflecting on academic and business perspectives, we propose that the future of cities is far from being a determined one and cities may evolve into ghost towns if the deployment of AI is not carefully controlled. This viewpoint presents a fundamentally different argument, because it expresses a real concern over the future of cities in contrast to the many publications who exclusively assume city populations will increase predicated on the neoliberal urban growth paradigm that has for centuries attracted humans to cities in search of work. Full article
(This article belongs to the Special Issue Artificial Intelligence in the Smart Everything and Everywhere Era)
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