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Books > Computing & IT > Applications of computing > Artificial intelligence
'The advent of machine learning-based AI systems demands that our industry does not just share toys, but builds a new sandbox in which to play with them.' - Phil Bernstein The profession is changing. A new era is rapidly approaching when computers will not merely be instruments for data creation, manipulation and management, but, empowered by artificial intelligence, they will become agents of design themselves. Architects need a strategy for facing the opportunities and threats of these emergent capabilities or risk being left behind. Architecture's best-known technologist, Phil Bernstein, provides that strategy. Divided into three key sections - Process, Relationships and Results - Machine Learning lays out an approach for anticipating, understanding and managing a world in which computers often augment, but may well also supplant, knowledge workers like architects. Armed with this insight, practices can take full advantage of the new technologies to future-proof their business. Features chapters on: * Professionalism * Tools and technologies * Laws, policy and risk * Delivery, means and methods * Creating, consuming and curating data * Value propositions and business models.
The second published collection based on a conference sponsored by
the Metroplex Institute for Neural Dynamics -- the first is
"Motivation, Emotion, and Goal Direction in Neural Networks" (LEA,
1992) -- this book addresses the controversy between symbolicist
artificial intelligence and neural network theory. A particular
issue is how well neural networks -- well established for
statistical pattern matching -- can perform the higher cognitive
functions that are more often associated with symbolic approaches.
This controversy has a long history, but recently erupted with
arguments against the abilities of renewed neural network
developments. More broadly than other attempts, the diverse
contributions presented here not only address the theory and
implementation of artificial neural networks for higher cognitive
functions, but also critique the history of assumed epistemologies
-- both neural networks and AI -- and include several
neurobiological studies of human cognition as a real system to
guide the further development of artificial ones.
This book defines the emerging field of Active Perception which
calls for studying perception coupled with action. It is devoted to
technical problems related to the design and analysis of
intelligent systems possessing perception such as the existing
biological organisms and the "seeing" machines of the future. Since
the appearance of the first technical results on active vision,
researchers began to realize that perception -- and intelligence in
general -- is not transcendental and disembodied. It is becoming
clear that in the effort to build intelligent visual systems,
consideration must be given to the fact that perception is
intimately related to the physiology of the perceiver and the tasks
that it performs. This viewpoint -- known as Purposive,
Qualitative, or Animate Vision -- is the natural evolution of the
principles of Active Vision. The seven chapters in this volume
present various aspects of active perception, ranging from general
principles and methodological matters to technical issues related
to navigation, manipulation, recognition, learning, planning,
reasoning, and topics related to the neurophysiology of intelligent
systems.
The result of the first Appalachian Conference on neurodynamics,
this volume focuses on processing in biological neural networks.
How do brain processes become organized during decision making?
That is, what are the neural antecedents that determine which
course of action is to be pursued? Half of the contributions deal
with modelling synapto-dendritic and neural ultrastructural
processes; the remainder, with laboratory research findings, often
cast in terms of the models. The interchanges at the conference and
the ensuing publication also provide a foundation for further
meetings. These will address how processes in different brain
systems, coactive with the neural residues of experience and with
sensory input, determine decisions.
Highlighting and illustrating several important and interesting
theoretical trends that have emerged in the continuing development
of instructional technology, this book's organizational framework
is based on the notion of two opposing camps. One evolves out of
the intelligent tutoring movement, which employs
artificial-intelligence technologies in the service of student
modeling and precision diagnosis, and the other emerges from a
constructivist/developmental perspective that promotes exploration
and social interaction, but tends to reject the methods and goals
of the student modelers. While the notion of opposing camps tends
to create an artificial rift between groups of researchers, it
represents a conceptual distinction that is inherently more
interesting and informative than the relatively meaningless divide
often drawn between "intelligent" and "unintelligent" instructional
systems.
Computational Intelligence in Image and Video Processing presents introduction and state-of-the-art adaptations of computational intelligence techniques and their usefulness in image and video enhancement, classification, retrieval, forensics and captioning. It covers an amalgamation of such techniques in diverse applications of image and video processing. Features: A systematic overview of state-of-the-art technology in computational intelligence techniques for image and video processing Advanced evolutionary and nature inspired approaches to solve optimization problems in the image and video processing domain. Outcomes of Recent research and some pointers to future advancements in image and video processing and intelligent solutions using computational intelligence techniques. Code snippets of the computational intelligence algorithm/techniques used in image and video processing This book is primarily aimed at advanced undergraduates, graduates and researchers in computer science and information technology. Engineers and industry professionals will also find this book useful.
Addresses real-world challenges in using AI Covers the entire AI process in a holistic manner Explains the technical issues in an easy to use manner Provides real-world examples of AI enablement Addresses the challenges of complex enterprises, coalitions and consortia Avoids the hype, with balanced perspective on benefits and drawbacks of AI
Covers all the aspects of a flapping-wing vehicles needed to design one and understand how/why it flies. Explains related engineering practice including fabrication, materials, and manufacturing. Includes CFD analysis of 3D wing profile. Discusses image-based control of group of Ornithopters. Explores indigenous PCB design for achieving altitude and attitude control.
Psychology and philosophy have long studied the nature and role of
explanation. More recently, artificial intelligence research has
developed promising theories of how explanation facilitates
learning and generalization. By using explanations to guide
learning, explanation-based methods allow reliable learning of new
concepts in complex situations, often from observing a single
example.
"Automated scoring engines [...] require a careful balancing of the contributions of technology, NLP, psychometrics, artificial intelligence, and the learning sciences. The present handbook is evidence that the theories, methodologies, and underlying technology that surround automated scoring have reached maturity, and that there is a growing acceptance of these technologies among experts and the public." From the Foreword by Alina von Davier, ACTNext Senior Vice President Handbook of Automated Scoring: Theory into Practice provides a scientifically grounded overview of the key research efforts required to move automated scoring systems into operational practice. It examines the field of automated scoring from the viewpoint of related scientific fields serving as its foundation, the latest developments of computational methodologies utilized in automated scoring, and several large-scale real-world applications of automated scoring for complex learning and assessment systems. The book is organized into three parts that cover (1) theoretical foundations, (2) operational methodologies, and (3) practical illustrations, each with a commentary. In addition, the handbook includes an introduction and synthesis chapter as well as a cross-chapter glossary.
The design and functioning of an information system improve to the extent that the system can handle the questions people ask. Surprisingly, however, researchers in the cognitive, computer, and information sciences have not thoroughly examined the multitude of relationships between information systems and questions -- both question asking and answering. The purpose of this book is to explicitly examine these relationships. Chapter contributors believe that questions play a central role in the analysis, design, and use of different kinds of natural or artificial information systems such as human cognition, social interaction, communication networks, and intelligent tutoring systems. Their efforts show that data structures and representations need to be organized around the questioning mechanisms in order to achieve a quick retrieval of relevant useful information.
The articles gathered in this volume represent examples of a unique
approach to the study of mental phenomena: a blend of theory and
experiment, informed not just by easily measurable laboratory data
but also by human introspection. Subjects such as approach and
avoidance, desire and fear, and novelty and habit are studied as
natural events that may not exactly correspond to, but at least
correlate with, some (known or unknown) electrical and chemical
events in the brain.
It explore issues of diversity and inclusion in relation to artificial intelligence (AI). The author leads a research group on Digitalization and Robotization of Society at NTNU Norwegian University of Science and Technology.
1. Covers latest concepts in image processing and intelligent computing systems. 2. Presents the applications of image processing based intelligent systems. 3. Covers latest research topics in the field. 4. Written in a comprehensive and simple manner. 5. The text is accompanied by tables and illustrative figures for better understanding of the topic.
This unique volume focuses on computing systems that exhibit
intelligent behavior. As such, it discusses research aimed at
building a computer that has the same cognitive architecture as the
mind -- permitting evaluations of it as a model of the mind -- and
allowing for comparisons between computer performance and
experimental data on human performance. It also examines
architectures that permit large, complex computations to be
performed -- and questions whether the computer so structured can
handle these difficult tasks intelligently.
This volume consists of a series of essays written by experts, most
of whom participated in a conference conducted by the Educational
Testing Service to explore how current fields of artificial
intelligence might contribute to ETS's plans to automate one or
more of its testing activities.
First published in 1990. Routledge is an imprint of Taylor & Francis, an informa company.
Neural computing is one of the most interesting and rapidly growing areas of research, attracting researchers from a wide variety of scientific disciplines. Starting from the basics, Neural Computing covers all the major approaches, putting each in perspective in terms of their capabilities, advantages, and disadvantages. The book also highlights the applications of each approach and explores the relationships among models developed and between the brain and its function. A comprehensive and comprehensible introduction to the subject, this book is ideal for undergraduates in computer science, physicists, communications engineers, workers involved in artificial intelligence, biologists, psychologists, and physiologists.
Takes an interdisciplinary approach to contribute to the ongoing development of human-AI interaction. Current debate and development of AI is "algorithm-driven" or technical-oriented in lieu of human-centered. At present, there is no systematic interdisciplinary discussion to effectively deal with issues and challenges arising from AI. This book offers critical analysis of the logic and social implications of algorithmic processes. Reporting from the processes of scientific research, the results can be useful for understanding the relationship between algorithms and humans, allowing AI designers to assess the quality of the meaningful interactions with AI systems.
This book aims to provide the latest research developments and results in the domain of AI techniques for smart cyber ecosystems. It presents a holistic insight into AI-enabled theoretic approaches and methodology in IoT networking, security analytics using AI tools and network automation, which ultimately enable intelligent cyber space. This book will be a valuable resource for students, researchers, engineers and policy makers working in various areas related to cybersecurity and privacy for Smart Cities. This book includes chapters titled "An Overview of the Artificial Intelligence Evolution and Its Fundamental Concepts, and Their Relationship with IoT Security", "Smart City: Evolution and Fundamental Concepts", "Advances in AI-Based Security for Internet of Things in Wireless Virtualization Environment", "A Conceptual Model for Optimal Resource Sharing of Networked Microgrids Focusing Uncertainty: Paving Path to Eco-friendly Smart Cities", "A Novel Framework for a Cyber Secure Smart City", "Contemplating Security Challenges and Threats for Smart Cities", "Self-Monitoring Obfuscated IoT Network", "Introduction to Side Channel Attacks and Investigation of Power Analysis and Fault Injection Attack Techniques", "Collaborative Digital Forensic Investigations Model for Law Enforcement: Oman as a Case Study", "Understanding Security Requirements and Challenges in the Industrial Internet of Things: A Review", "5G Security and the Internet of Things", "The Problem of Deepfake Videos and How to Counteract Them in Smart Cities", "The Rise of Ransomware Aided by Vulnerable IoT Devices", "Security Issues in Self-Driving Cars within Smart Cities", and "Trust-Aware Crowd Associated Network-Based Approach for Optimal Waste Management in Smart Cities". This book provides state-of-the-art research results and discusses current issues, challenges, solutions and recent trends related to security and organization within IoT and Smart Cities. We expect this book to be of significant importance not only to researchers and practitioners in academia, government agencies and industries, but also for policy makers and system managers. We anticipate this book to be a valuable resource for all those working in this new and exciting area, and a "must have" for all university libraries.
Focuses on the Internet of Healthcare Things and innovative solutions developed for use in the application of healthcare services Discusses artificial intelligence applications, experiments, core concepts, and cutting-edge themes Demonstrates new approaches to analysing medical data and identifying ailments using AI to improve overall quality of life Introduces fundamental concepts for designing the Internet of Healthcare Things solutions Includes pertinent case studies and applications
This book explores the relationships between artificial intelligence (AI) and education in China. It examines educational activity in the context of profound technological interventions, far-reaching national policy, and multifaceted cultural settings. By standing at the intersection of three foundational topics: AI and the recent proliferation of data-driven technologies; education, the most foundational of our social institutions in terms of actively shaping societies and individuals; and finally, China, which is a frequent subject for dramatic media reports about both technology and education, this book offers an insightful view of the contexts that underpin the use of AI in education, and promotes a more in-depth understanding of China. Scholars of educational technology and digital education will find this book an indispensable guide to the ways new technologies are imagined to transform the future, while being firmly grounded in the past.
Here, several leading experts in the area of cognitive science
summarize their current research programs, tracing Herbert A.
Simon's influence on their own work -- and on the field of
information processing at large. Topics covered include problem-
solving, imagery, reading, writing, memory, expertise, instruction,
and learning. Collectively, the chapters reveal a high degree of
coherence across the various specialized disciplines within
cognition -- a coherence largely attributable to the initial unity
in Simon's seminal and pioneering contributions.
There are a number of books on computational intelligence (CI), but they tend to cover a broad range of CI paradigms and algorithms rather than provide an in-depth exploration in learning and adaptive mechanisms. This book sets its focus on CI based architectures, modeling, case studies and applications in big data analytics, and business intelligence. The intended audiences of this book are scientists, professionals, researchers, and academicians who deal with the new challenges and advances in the specific areas mentioned above. Designers and developers of applications in these areas can learn from other experts and colleagues through this book.
Cognitive Computing for Internet of Medical Things (IoMT) offers a complete assessment of the present scenario, role, challenges, technologies, and impact of IoMT-enabled smart healthcare systems. It contains chapters discussing various biomedical applications under the umbrella of the IoMT. Key Features Exploits the different prospects of cognitive computing techniques for the IoMT and smart healthcare applications Addresses the significance of IoMT and cognitive computing in the evolution of intelligent medical systems for biomedical applications Describes the different computing techniques of cognitive intelligent systems from a practical point of view: solving common life problems Explores the technologies and tools to utilize IoMT for the transformation and growth of healthcare systems Focuses on the economic, social, and environmental impact of IoMT-enabled smart healthcare systems This book is primarily aimed at graduates, researchers and academicians working in the area of development of the application of the of the application of the IoT in smart healthcare. Industry professionals will also find this book helpful. |
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