|
|
Books > Computing & IT > Internet > General
Recently, artificial intelligence (AI), the internet of things
(IoT), and cognitive technologies have successfully been applied to
various research domains, including computer vision, natural
language processing, voice recognition, and more. In addition, AI
with IoT has made a significant breakthrough and a shift in
technical direction to achieve high efficiency and adaptability in
a variety of new applications. On the other hand, network design
and optimization for AI applications addresses a complementary
topic, namely the support of AI-based systems through novel
networking techniques, including new architectures, as well as
performance models for IoT systems. IoT has paved the way to a
plethora of new application domains, at the same time posing
several challenges as a multitude of devices, protocols,
communication channels, architectures, and middleware exist. Big
data generated by these devices calls for advanced learning and
data mining techniques to effectively understand, learn, and reason
with this volume of information, such as cognitive technologies.
Cognitive technologies play a major role in developing successful
cognitive systems which mimic ""cognitive"" functions associated
with human intelligence, such as ""learning"" and ""problem
solving."" Thus, there is a continuing demand for recent research
in these two linked fields. Innovations and Applications of AI,
IoT, and Cognitive Technologies discusses the latest innovations
and applications of AI, IoT, and cognitive-based smart systems. The
chapters cover the intersection of these three fields in emerging
and developed economies in terms of their respective development
situation, public policies, technologies and intellectual capital,
innovation systems, competition and strategies, marketing and
growth capability, and governance and relegation models. These
applications span areas such as healthcare, security and privacy,
industrial systems, multidisciplinary sciences, and more. This book
is ideal for technologists, IT specialists, policymakers,
government officials, academics, students, and practitioners
interested in the experiences of innovations and applications of
AI, IoT, and cognitive technologies.
Edge computing and analytics are fascinating the whole world of
computing. Industry and business are keenly embracing this sound
concept to develop customer-centric solutions by enhancing their
operations, offerings, and outputs. There is a bevy of advancements
in this domain that came with the arrival of IoT devices. The
seamless convergence of microservices and serverless computing
creates vast opportunities. With the help of IoT devices and these
other developments, there has become a deep interest in business
automation and additional improvisations in edge computing. With
the steady growth of edge devices and applications of IoT fog/edge
computing and analytics, there are also distinct challenges and
threats. Research has been keenly focused on identifying and
understanding these issues and shortcomings to bring viable
solution approaches and algorithms. Cases on Edge Computing and
Analytics describes the latest innovations, improvements, and
transformations happening with edge devices and computing. It
addresses the key concerns of the edge computing paradigm, how they
are processed, and the various technologies and tools empowering
edge computing and analytics. While highlighting topics within edge
computing such as the key drivers for implementation, computing
capabilities, security considerations, and use-cases, this book is
ideal for IT industry professionals and project managers, computer
scientists, computer engineers, and practitioners, stakeholders,
researchers, academicians, and students looking for research on the
latest trends and transitions in edge computing.
Industrial internet of things (IIoT) is changing the face of
industry by completely redefining the way stakeholders,
enterprises, and machines connect and interact with each other in
the industrial digital ecosystem. Smart and connected factories, in
which all the machinery transmits real-time data, enable industrial
data analytics for improving operational efficiency, productivity,
and industrial processes, thus creating new business opportunities,
asset utilization, and connected services. IIoT leads factories to
step out of legacy environments and arcane processes towards open
digital industrial ecosystems. Innovations in the Industrial
Internet of Things (IIoT) and Smart Factory is a pivotal reference
source that discusses the development of models and algorithms for
predictive control of industrial operations and focuses on
optimization of industrial operational efficiency, rationalization,
automation, and maintenance. While highlighting topics such as
artificial intelligence, cyber security, and data collection, this
book is ideally designed for engineers, manufacturers,
industrialists, managers, IT consultants, practitioners, students,
researchers, and industrial industry professionals.
Artificial intelligence has been utilized in a diverse range of
industries as more people and businesses discover its many uses and
applications. A current field of study that requires more
attention, as there is much opportunity for improvement, is the use
of artificial intelligence within literary works and social media
analysis. Artificial Intelligence Applications in Literary Works
and Social Media presents contemporary developments in the adoption
of artificial intelligence in textual analysis of literary works
and social media and introduces current approaches, techniques, and
practices in data science that are implemented to scrap and analyze
text data. This book initiates a new multidisciplinary field that
is the combination of artificial intelligence, data science, social
science, literature, and social media study. Covering key topics
such as opinion mining, sentiment analysis, and machine learning,
this reference work is ideal for computer scientists, industry
professionals, researchers, scholars, practitioners, academicians,
instructors, and students.
The lead singer on Supercell's eponymous first album is Hatsune
Miku-a Vocaloid character created by Crypton Future Media with
voice synthesizers. A virtual superstar, over 100,000 songs,
uploaded mostly by fans, are attributed to her. Supercell is a
Japanese creator music group with the composer Ryo leading ten
artists, who design album illustrations and make music videos.
These videos are uploaded onto Niconico and other video-sharing
sites. By the time Supercell was released in March 2009, the
group's Vocaloid works were already well-known to Niconico users
and fans. This book explores the Vocaloid and DTM (desktop music)
phenomena through the lenses of media and fan studies, looking
closely at online social media platforms, the new technology for
composing, avid fans of the Vocaloid character, and these fans'
performative practices. It provides a sense of how interactive new
media and an empowered fan base combine to engage in the creation
processes and enhance the circulation of DTM works. 33 1/3 Global,
a series related to but independent from 33 1/3, takes the format
of the original series of short, music-basedbooks and brings the
focus to music throughout the world. With initial volumes focusing
on Japanese and Brazilian music, the series will also include
volumes on the popular music of Australia/Oceania, Europe, Africa,
the Middle East, and more.
Continual advancements in web technology have highlighted the need
for formatted systems that computers can utilize to easily read and
sift through the hundreds of thousands of data points across the
internet. Therefore, having the most relevant data in the least
amount of time to optimize the productivity of users becomes a
priority. Semantic Web Science and Real-World Applications provides
emerging research exploring the theoretical and practical aspects
of semantic web science and real-world applications within the area
of big data. Featuring coverage on a broad range of topics such as
artificial intelligence, social media monitoring, and microblogging
recommendation systems, this book is ideally designed for IT
consultants, academics, professionals, and researchers of web
science seeking the current developments, requirements and
standards, and technology spaces presented across academia and
industries.
With the rise of mobile and wireless technologies, more sustainable
networks are necessary to support such communications. These next
generation networks can now be utilized to strengthen the growing
era of the Internet of Things. Powering the Internet of Things With
5G Networks is a comprehensive reference source for the latest
scholarly research on the progression and design of fifth
generation networks and their role in supporting the Internet of
Things. Including a range of perspectives on topics such as privacy
and security, large scale monitoring, and scalable architectures,
this book is ideally designed for technology developers, academics,
researchers, and practitioners interested in the convergence of the
Internet of Things and 5G networks. Topics Covered The many
academic areas covered in this publication include, but are not
limited to: Autonomous Computing Big Data Management Cyber Threats
Disruptive technologies Large Scale Monitoring Privacy and security
Scalable Architectures Wireless sensor networks
The Internet is now, but the future is the metaverse. The metaverse
is a virtual-reality space in which users can interact with a
computer-generated environment and others. The prediction is that
the next ten years will be the golden era of the metaverse, and
everyone's life, entertainment, social interaction, and work will
increasingly take place in the metaverse world. This book outlines
six important trends in the era of the metaverse, that will see
dramatic changes in technology and the bringing together of digital
and physical worlds. People will experience a great migration of
their social life and economic activities into the metaverse.
Furthermore, the authors argue that, in the metaverse, we can get
rid of many of the constraints of the physical world, achieve a
better self in the new digital space, and truly maximize our own
value as human beings. This book sets out how you can seize the
opportunity of the metaverse era.
|
|