scholarly journals SUITCEYES Scoping Report on Law and Policy on Deafblindness, Disability and New Technologies: United Kingdom

2021 ◽  
Author(s):  
Sarah Lesley Woodin
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
New Technologies ◽  
The Internet ◽  
Disabled People ◽  
Law And Policy ◽  
Technological Developments ◽  
The Uk ◽  
The Internet Of Things ◽  
Broad Overview

This report discusses law and policy on new technologies: artificial intelligence (AI), machine learning and the Internet of Things (IoT) in relation to disabled people and people with deafblindness in the UK. Written as part of the SUITCEYES project, it provides a broad overview of formal rights and the extent to which disabled people can access new technologies in practice. The field is fast moving and volatile, with judgements regularly made and overturned in the courts and frequent new initiatives. The UK government emphasises the importance of investing in new technologies as a means of strengthening the economy. The opportunities represented by technological developments have been largely welcomed by disabled people but questions remain about how the technology might be used and developed by disabled people and people with deafblindness themselves and the need for safeguards against exploitation.

The Future of Human Workers

2018 ◽  
Author(s):  
Mahesh K. Joshi ◽  
J.R. Klein
Keyword(s):  
Artificial Intelligence ◽  
New Technologies ◽  
Mental Capacity ◽  
Machine Intelligence ◽  
The Internet ◽  
Traditional Model ◽  
Global Workforce ◽  
Repetitive Tasks ◽  
The Internet Of Things

New technologies like artificial intelligence, robotics, machine intelligence, and the Internet of Things are seeing repetitive tasks move away from humans to machines. Humans cannot become machines, but machines can become more human-like. The traditional model of educating workers for the workforce is fast becoming irrelevant. There is a massive need for the retooling of human workers. Humans need to be trained to remain focused in a society which is constantly getting bombarded with information. The two basic elements of physical and mental capacity are slowly being taken over by machines and artificial intelligence. This changes the fundamental role of the global workforce.

scholarly journals IMPROVING INTERNET OF THINGS PARKING SYSTEMS

2021 ◽  
Vol 19 (3) ◽  
pp. 163
Author(s):  
Dušan Bogićević
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Cloud Computing ◽  
Internet Of Things ◽  
Information Needs ◽  
Vehicle Classification ◽  
The Internet ◽  
Parking Space ◽  
Automated Systems ◽  
The Internet Of Things

Edge data processing represents the new evolution of the Internet and Cloud computing. Its application to the Internet of Things (IoT) is a step towards faster processing of information from sensors for better performance. In automated systems, we have a large number of sensors, whose information needs to be processed in the shortest possible time and acted upon. The paper describes the possibility of applying Artificial Intelligence on Edge devices using the example of finding a parking space for a vehicle, and directing it based on the segment the vehicle belongs to. Algorithm of Machine Learning is used for vehicle classification, which is based on vehicle dimensions.

Emerging Technologies and Universities

2021 ◽  
pp. 97-114
Author(s):  
Fausto E. Jacome
Keyword(s):  
Machine Learning ◽  
Internet Of Things ◽  
New Technologies ◽  
Emerging Technologies ◽  
The Internet ◽  
New Paradigm ◽  
New Era ◽  
Technological Revolution ◽  
Goods And Services ◽  
The Internet Of Things

Emerging technologies such as machine learning, the cloud, the internet of things (IoT), social web, mobility, robotics, and blockchain, among others, are powering a technological revolution in such a way that are transforming all human activities. These new technologies have generated creative ways of offering goods and services. Today's consumers demand in addition to quality, innovation, a real-time and ubiquitous service. In this context, what is the challenge that academy faces? What is the effect of these new technologies on the universities mission? What are people's expectations about academy in this new era? This chapter tries to get answers to these questions and explain how these emerging technologies are converting universities to lead society transformation to the digital age. Under this new paradigm, there are only two roads: innovate or perish. As might be expected universities are embracing these technologies for innovating themselves.

scholarly journals Management of Software-Defined Networking Powered by Artificial Intelligence

2021 ◽  
Author(s):  
Jehad Ali ◽  
Byeong-hee Roh
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Internet Of Things ◽  
Heterogeneous Networks ◽  
Software Defined Networking ◽  
Machine Learning Algorithms ◽  
The Internet ◽  
Underlying Network ◽  
And Control ◽  
The Internet Of Things

Separating data and control planes by Software-Defined Networking (SDN) not only handles networks centrally and smartly. However, through implementing innovative protocols by centralized controllers, it also contributes flexibility to computer networks. The Internet-of-Things (IoT) and the implementation of 5G have increased the number of heterogeneous connected devices, creating a huge amount of data. Hence, the incorporation of Artificial Intelligence (AI) and Machine Learning is significant. Thanks to SDN controllers, which are programmable and versatile enough to incorporate machine learning algorithms to handle the underlying networks while keeping the network abstracted from controller applications. In this chapter, a software-defined networking management system powered by AI (SDNMS-PAI) is proposed for end-to-end (E2E) heterogeneous networks. By applying artificial intelligence to the controller, we will demonstrate this regarding E2E resource management. SDNMS-PAI provides an architecture with a global view of the underlying network and manages the E2E heterogeneous networks with AI learning.

scholarly journals Technology and More-Than-Human Design

Design Issues ◽  
2020 ◽  
Vol 36 (4) ◽  
pp. 33-44 ◽  
Author(s):  
Elisa Giaccardi ◽  
Johan Redström
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Internet Of Things ◽  
The Internet ◽  
User Centered Design ◽  
Human Centered Design ◽  
Design Methodologies ◽  
The Everyday ◽  
The Internet Of Things ◽  
User Centered

Are we reaching the limits of what human-centered and user-centered design can cope with? Developing new design methodologies and tools to unlock the potentials of data technologies such as the Internet of Things, Machine Learning and Artificial Intelligence for the everyday job of design is necessary but not sufficient. There is now a need to fundamentally question what happens when human-centered design is unable to effectively give form to technology, why this might be the case, and where we could look for alternatives.

Conclusion

2019 ◽  
pp. 215-222
Author(s):  
Rowan Wilken
Keyword(s):  
Machine Learning ◽  
Autonomous Vehicle ◽  
Data Capture ◽  
The Internet ◽  
Depth Sensing ◽  
Locative Media ◽  
Location Data ◽  
Recent Developments ◽  
Technological Developments ◽  
The Internet Of Things

The Conclusion revisits the terrain the book has covered, providing recapitulations of the arguments of each of the three parts of the book and the chapters contained within them. The argument of this Conclusion is that, while locative media having shifted significantly over the course of the past decade or so, location, locative media, and location data capture remain central concerns, both in the present and within and for new technological developments. It is, for instance, central to visions of “smart” or “networked” cities, and of depth-sensing vision capture technologies. Location is also crucial to recent developments in mapping and indoor mapping, autonomous vehicle development, environmental sensing, the internet of things, machine learning, and distributed ledger technologies.

Part II Trade Finance Technology, 10 Digitalisation of Shipping and Insurance Documents: Implications for Trade Finance

2021 ◽  
Author(s):  
Goldby Miriam
Keyword(s):  
Machine Learning ◽  
International Trade ◽  
Internet Of Things ◽  
New Technologies ◽  
Insurance Contract ◽  
The Internet ◽  
Smart Contracts ◽  
Trade Finance ◽  
Distributed Ledger ◽  
The Internet Of Things

The inefficiencies inherent in processing pieces of paper manually down a cross-border chain of sales have prompted the international trade community to attempt to replace bills of lading with digital alternatives. These efforts have been ongoing for thirty years, but the recent availability of new technologies, particularly distributed-ledger technology (‘DLT’), which can be used in combination with ‘smart contracts’, the internet of things (‘IoT’) and machine-learning, has given these efforts a new impetus. Digitalisation holds many promises, including the creation of a context wherein new and cheaper financing options may be developed that do not involve manual checking of large volumes of paper documents. However, doing away with the paper-based documents of title creates uncertainties in terms of the bank’s position as secured creditor. Similarly, while cargo insurance certificates have been issued over electronic platforms for many years now, their transfer by endorsement is still effected by printing the certificate out and endorsing the paper-based certificate. In order for the benefits of digitalisation to be reaped in full, cargo insurance certificates also need to be fully digitalised, which would in turn raise questions as to the bank’s position as assured under the insurance contract. This chapter will examine the options available for making the bank’s position more certain. These options include legislative intervention and the development of contractual frameworks governed by English law.

scholarly journals Digital Technologies in the Process of Virtualization of Consumer Behaviour – Awareness of New Technologies

Management ◽  
2018 ◽  
Vol 22 (2) ◽  
pp. 187-203 ◽  
Author(s):  
Dominika Kaczorowska-Spychalska
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Consumer Behaviour ◽  
New Technologies ◽  
Digital Technologies ◽  
The Internet ◽  
Economic Dimension ◽  
Production Logistics ◽  
The Impact ◽  
The Internet Of Things

Summary Digital resolution is currently one of the most important forces determining changes and their dynamics in the social, cultural and economic dimension. Digital technologies such as the Internet of Things and Artificial Intelligence will, according to Gartner’s Hype Cycle for Emerging Technologies 2017, play an increasingly important role while creating a new quality of the market space. Yet, these are multidimensional issues whose potential should be considered both, from the perspective of enterprises that create and/or adapt such technologies in their production, logistics or sale processes as well as in consumer perspective taking into account a degree of awareness, interest and fascination of potential buyers, users with such devices and solutions. This is determined by dualism of approach to digital technologies (economic approach vs. humanistic approach) and evaluation of their potential benefits and threats. It seems, however, that virtualization of consumer behaviour as a consequence of impact of technologies such as the Internet of Things and Artificial Intelligence, can at the same time be a significant driving force of further processes of digitalization, its dimensions and dynamics. The article attempts to identify the impact of digital technologies (IoT and AI) on attitudes, preferences and decisions of consumers and presented discussion was based on the results of own studies in the analysed area.

scholarly journals BUREAUCRATIC DISRUPSION AND THREATS OF UNEMPLOYMENT IN THE INDSUTRI 4.0 REVOLUTION

2020 ◽  
Vol 3 (1) ◽  
Author(s):  
Risky Ristiandy
Keyword(s):  
Artificial Intelligence ◽  
Industrial Revolution ◽  
The Body ◽  
The Internet ◽  
Technological Advances ◽  
Technological Developments ◽  
The Government ◽  
The Unemployed ◽  
The Internet Of Things ◽  
Sophisticated Technology

The rapid technological advances in the Industrial Revolution 4.0 era resulted in various technological developments that were increasingly innovative and varied. Starting from this then innovation about artificial intelligence or Artificial Intelligence began to attract many parties including the government itself to use it in the life of the bureaucracy in this country. This was then compounded by the development of the Internet of Things and Big Data which added to the government's desire to modernize the bureaucracy but was threatened by the disruption that would change all the old orders used and upheld. Disruption in the body of the bureaucracy and the future will be a time bomb on the problems it carries which will have an impact on unemployment problems involving the unemployed state people and people who were originally part of the State Civil Apparatus, and this matter a challenge going forward for the government how to respond to a comprehensive change in the era of the industrial revolution 4.0 to be able to run a modern government with sophisticated technology while still prioritizing the conditions of its people.Keywords: Industrial Revolution 4.0, Disruption, Unemployment.

Sign in / Sign up

Export Citation Format

Share Document