Cognitive Computing for Machine Thinking PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Cognitive Computing for Machine Thinking PDF full book. Access full book title Cognitive Computing for Machine Thinking by Makarand R. Velankar. Download full books in PDF and EPUB format.
Author: Makarand R. Velankar
Publisher: Springer Nature
ISBN: 9819704529
Category :
Languages : en
Pages : 98
Get Book Here
Book Description
Author: Makarand R. Velankar
Publisher: Springer Nature
ISBN: 9819704529
Category :
Languages : en
Pages : 98
Get Book Here
Book Description
Author: Pradeep Kumar Mallick
Publisher: Springer Nature
ISBN: 3030481182
Category : Computers
Languages : en
Pages : 136
Get Book Here
Book Description
This edited book designs the Cognitive Computing in Human Cognition to analyze to improve the efficiency of decision making by cognitive intelligence. The book is also intended to attract the audience who work in brain computing, deep learning, transportation, and solar cell energy. Due to this in the recent era, smart methods with human touch called as human cognition is adopted by many researchers in the field of information technology with the Cognitive Computing.
Author: Krishna Kant Singh
Publisher: John Wiley & Sons
ISBN: 1119640369
Category : Computers
Languages : en
Pages : 272
Get Book Here
Book Description
Communication and network technology has witnessed recent rapid development and numerous information services and applications have been developed globally. These technologies have high impact on society and the way people are leading their lives. The advancement in technology has undoubtedly improved the quality of service and user experience yet a lot needs to be still done. Some areas that still need improvement include seamless wide-area coverage, high-capacity hot-spots, low-power massive-connections, low-latency and high-reliability and so on. Thus, it is highly desirable to develop smart technologies for communication to improve the overall services and management of wireless communication. Machine learning and cognitive computing have converged to give some groundbreaking solutions for smart machines. With these two technologies coming together, the machines can acquire the ability to reason similar to the human brain. The research area of machine learning and cognitive computing cover many fields like psychology, biology, signal processing, physics, information theory, mathematics, and statistics that can be used effectively for topology management. Therefore, the utilization of machine learning techniques like data analytics and cognitive power will lead to better performance of communication and wireless systems.
Author: Jordi Vallverdú
Publisher: IGI Global
ISBN: 1616920157
Category : Computers
Languages : en
Pages : 461
Get Book Here
Book Description
"This book offers a high interdisciplinary exchange of ideas pertaining to the philosophy of computer science, from philosophical and mathematical logic to epistemology, engineering, ethics or neuroscience experts and outlines new problems that arise with new tools"--Provided by publisher.
Author: Judith S. Hurwitz
Publisher: John Wiley & Sons
ISBN: 1118896785
Category : Computers
Languages : en
Pages : 291
Get Book Here
Book Description
A comprehensive guide to learning technologies that unlock the value in big data Cognitive Computing provides detailed guidance toward building a new class of systems that learn from experience and derive insights to unlock the value of big data. This book helps technologists understand cognitive computing's underlying technologies, from knowledge representation techniques and natural language processing algorithms to dynamic learning approaches based on accumulated evidence, rather than reprogramming. Detailed case examples from the financial, healthcare, and manufacturing walk readers step-by-step through the design and testing of cognitive systems, and expert perspectives from organizations such as Cleveland Clinic, Memorial Sloan-Kettering, as well as commercial vendors that are creating solutions. These organizations provide insight into the real-world implementation of cognitive computing systems. The IBM Watson cognitive computing platform is described in a detailed chapter because of its significance in helping to define this emerging market. In addition, the book includes implementations of emerging projects from Qualcomm, Hitachi, Google and Amazon. Today's cognitive computing solutions build on established concepts from artificial intelligence, natural language processing, ontologies, and leverage advances in big data management and analytics. They foreshadow an intelligent infrastructure that enables a new generation of customer and context-aware smart applications in all industries. Cognitive Computing is a comprehensive guide to the subject, providing both the theoretical and practical guidance technologists need. Discover how cognitive computing evolved from promise to reality Learn the elements that make up a cognitive computing system Understand the groundbreaking hardware and software technologies behind cognitive computing Learn to evaluate your own application portfolio to find the best candidates for pilot projects Leverage cognitive computing capabilities to transform the organization Cognitive systems are rightly being hailed as the new era of computing. Learn how these technologies enable emerging firms to compete with entrenched giants, and forward-thinking established firms to disrupt their industries. Professionals who currently work with big data and analytics will see how cognitive computing builds on their foundation, and creates new opportunities. Cognitive Computing provides complete guidance to this new level of human-machine interaction.
Author: Virginio Cantoni
Publisher: Springer Science & Business Media
ISBN: 1461513618
Category : Computers
Languages : en
Pages : 247
Get Book Here
Book Description
The following are the proceedings of the Fourth International Workshop on Human and Machine Perception held in Palermo, Italy, on June 20 -23, 2000, under the auspices of three Institutions: the Cybernetic and Biophysics Group (GNCB) of the Italian National Research Council (CNR) and the two Inter-Department Centers of Cognitive Sciences of Palermo and Pavia University respectively. A broad spectrum of topics are covered in this series, ranging from computer perception to psychology and physiology of perception. The theme of this workshop on Human and Machine Perception was focused on Thinking, Deciding, and Acting. As in the past editions the final goal has been the analysis and the comparison of biological and artificial solutions. The focus of the lectures has been on presenting the state-of-the-art and outlining open questions. In particular, they sought to stress links, suggesting possible synergies between the different cultural areas. The panel discussion has been conceived as a forum for an open debate, briefly introduced by each panelist, and mainly aimed at deeper investigation of the different approaches to perception and strictly related topics. The panelists were asked to prepare a few statements on hot-points as a guide for discussion. These statements were delivered to the participants together with the final program, for a more qualified discussion.
Author: Mark V. Albert
Publisher: Springer Nature
ISBN: 3030847292
Category : Education
Languages : en
Pages : 364
Get Book Here
Book Description
This edited volume is based on contributions from the TCET-AECT “Human-Technology Frontier: Understanding the Learning of Now to Prepare for the Work of the Future Symposium” held in Denton, Texas on May 16-18, sponsored by AECT. The authors embrace an integrative approach to designing and implementing advances technologies in learning and instruction, and focus on the emerging themes of artificial intelligence, human-computer interactions, and the resulting instructional design. The volume will be divided into four parts: (1) Trends and future in learning and learning technologies expected in the next 10 years; (2) Technologies likely to have a significant impact on learning in the next 10 years; (3) Challenges that will need to be addressed and resolved in order to achieve significant and sustained improvement in learning; and (4) Reflections and insights from the Symposium that should be pursued and that can form the basis for productive research collaborations. The primary audience for this volume is academics and researchers in disciplines such as artificial intelligence, cognitive science, computer science, educational psychology, instructional design, human-computer interactions, information science, library science, and technology integration.
Author: David Gelernter
Publisher: Simon and Schuster
ISBN: 1451603746
Category : Psychology
Languages : en
Pages : 230
Get Book Here
Book Description
A leading mind in the world of artificial intelligence answers the provocative question: “Can we introduce emotion into the computer?” Can we introduce emotion into the computer? David Gelernter, one of the leading lights in artificial intelligence today, begins The Muse in the Machine with this provocative question. In providing an answer, he not only points to a future revolution in computers, but radically changes our views of the human mind itself. Bringing together insights from computer science, cognitive psychology, philosophy of mind, and literary theory, David Gelernter presents what is sure to be a much debated view of how humans have thought, how we think today, and how computers will learn to think in the future.
Author: Harry Katzan Jr.
Publisher: iUniverse
ISBN: 1663261555
Category : Business & Economics
Languages : en
Pages : 474
Get Book Here
Book Description
There are a lot of people that are worried about artificial intelligence, where artificial intelligence is commonly regarded as the science of making machines do things that would require intelligence if performed by humans. Primarily, they think that the adoption of that technology will cause them to lose their jobs, and they will not have anywhere to go for employment. The computer will be doing everything from scrubbing the floor to running an investment bank, and all that is in between. These are primarily educated people who thought they were okay for their entire life. And, it’s not like the bookkeeping and word processing jobs of years ago. It’s everything. Really everything. To boot, you hear statements like, “That could be true that you might lose your job, unless you know AI,” where the acronym AI stands for the two terrible words, artificial intelligence. It is something to worry about, even though deep down, you probably realize it isn’t going to be true. Somehow, the government will take of it. AI stands for Artificial Intelligence, as I said, and we will use those two letters throughout this volume. AI books are simply hard to read, and authors like to throw around unfamiliar terms like neuron, cognitive science, and Singularity, and sooner or later, they will end up with some math, and there are many people that don’t like math. They could do math if they need to, but they prefer not to. Moreover, it is hard to remember the subject when it is just thrown at you, like you should love it to death. This book uses dialog to ease the pain. The first book is an easy-to-read novel with AI thrown in when appropriate, or it is an AI book with the novel thrown in when the AI is getting sketchy. You can share their misgivings. We have added something more to help you with the subject matter of the first book. We have included a supplemental book. The second book is a pure and simple AI Primer, and we mean really simple, when you like what you’ve read about AI in the technical/novel first part, and you want to get into it more fully. There is another option. You could read the Primer first and then read the novel part for enjoyment and to find out how the people in the first book are getting along with AI. You will be surprised. The volume, that is both books, is a good bargain that you could share with your family or give to a friend. The books contain no violence, no sex, and no bad language, and is suitable to readers of all ages. I hope you enjoy it!
Author: Margaret A. Boden
Publisher: Oxford University Press
ISBN: 019954316X
Category : Computers
Languages : en
Pages : 789
Get Book Here
Book Description
The development of cognitive science is one of the most remarkable and fascinating intellectual achievements of the modern era. The quest to understand the mind is as old as recorded human thought; but the progress of modern science has offered new methods and techniques which have revolutionized this enquiry. Oxford University Press now presents a masterful history of cognitive science, told by one of its most eminent practitioners. Cognitive science is the project of understanding the mind by modeling its workings. Psychology is its heart, but it draws together various adjoining fields of research, including artificial intelligence; neuroscientific study of the brain; philosophical investigation of mind, language, logic, and understanding; computational work on logic and reasoning; linguistic research on grammar, semantics, and communication; and anthropological explorations of human similarities and differences. Each discipline, in its own way, asks what the mind is, what it does, how it works, how it developed - how it is even possible. The key distinguishing characteristic of cognitive science, Boden suggests, compared with older ways of thinking about the mind, is the notion of understanding the mind as a kind of machine. She traces the origins of cognitive science back to Descartes's revolutionary ideas, and follows the story through the eighteenth and nineteenth centuries, when the pioneers of psychology and computing appear. Then she guides the reader through the complex interlinked paths along which the study of the mind developed in the twentieth century. Cognitive science, in Boden's broad conception, covers a wide range of aspects of mind: not just 'cognition' in the sense of knowledge or reasoning, but emotion, personality, social communication, and even action. In each area of investigation, Boden introduces the key ideas and the people who developed them. No one else could tell this story as Boden can: she has been an active participant in cognitive science since the 1960s, and has known many of the key figures personally. Her narrative is written in a lively, swift-moving style, enriched by the personal touch of someone who knows the story at first hand. Her history looks forward as well as back: it is her conviction that cognitive science today--and tomorrow--cannot be properly understood without a historical perspective. Mind as Machine will be a rich resource for anyone working on the mind, in any academic discipline, who wants to know how our understanding of our mental activities and capacities has developed.
