Deep Learning For Cognitive Computing Systems
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Deep Learning For Cognitive Computing Systems
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Author : M.G. Sumithra
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2022-12-31
Deep Learning For Cognitive Computing Systems written by M.G. Sumithra and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-31 with Computers categories.
Cognitive computing simulates human thought processes with self-learning algorithms that utilize data mining, pattern recognition, and natural language processing. The integration of deep learning improves the performance of Cognitive computing systems in many applications, helping in utilizing heterogeneous data sets and generating meaningful insights.
Cognitive Computing Systems
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Author : Vishal Jain
language : en
Publisher: CRC Press
Release Date : 2021-05-10
Cognitive Computing Systems written by Vishal Jain and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-10 with Computers categories.
This new volume, Cognitive Computing Systems: Applications and Technological Advancements, explores the emerging area of artificial intelligence that encompasses machine self-learning, human-computer interaction, natural language processing, data mining and more. It introduces cognitive computing systems, highlights their key applications, discusses the technologies used in cognitive systems, and explains underlying models and architectures. Focusing on scientific work for real-world applications, each chapter presents the use of cognitive computing and machine learning in specific application areas. These include the use of speech recognition technology, application of neural networks in construction management, elevating competency in education, comprehensive health monitoring systems, predicting type 2 diabetes, applications for smart agricultural technology, human resource management, and more. With chapters from knowledgeable researchers in the area of artificial intelligence, cognitive computing, and allied areas, this book will be an asset for researchers, faculty, advances students, and industry professionals in many fields.
Cognitive Computing With Ibm Watson
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Author : Rob High
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-04-30
Cognitive Computing With Ibm Watson written by Rob High and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-30 with Computers categories.
Understand, design, and create cognitive applications using Watson’s suite of APIs. Key FeaturesDevelop your skills and work with IBM Watson APIs to build efficient and powerful cognitive appsLearn how to build smart apps to carry out different sets of activities using real-world use casesGet well versed with the best practices of IBM Watson and implement them in your daily workBook Description Cognitive computing is rapidly infusing every aspect of our lives riding on three important fields: data science, machine learning (ML), and artificial intelligence (AI). It allows computing systems to learn and keep on improving as the amount of data in the system grows. This book introduces readers to a whole new paradigm of computing – a paradigm that is totally different from the conventional computing of the Information Age. You will learn the concepts of ML, deep learning (DL), neural networks, and AI through the set of APIs provided by IBM Watson. This book will help you build your own applications to understand, plan, and solve problems, and analyze them as per your needs. You will learn about various domains of cognitive computing, such as NLP, voice processing, computer vision, emotion analytics, and conversational systems, using different IBM Watson APIs. From this, the reader will learn what ML is, and what goes on in the background to make computers "do their magic," as well as where these concepts have been applied. Having achieved this, the readers will then be able to embark on their journey of learning, researching, and applying the concept in their respective fields. What you will learnGet well versed with the APIs provided by IBM Watson on IBM CloudLearn ML, AI, cognitive computing, and neural network principlesImplement smart applications in fields such as healthcare, entertainment, security, and moreUnderstand unstructured content using cognitive metadata with the help of Natural Language UnderstandingUse Watson’s APIs to create real-life applications to realize their capabilitiesDelve into various domains of cognitive computing, such as media analytics, embedded deep learning, computer vision, and moreWho this book is for This book is for beginners and novices; having some knowledge about artificial intelligence and deep learning is an advantage, but not a prerequisite to benefit from this book. We explain the concept of deep learning and artificial intelligence through the set of tools IBM Watson provides.
Cognitive Computing Systems
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Author : Vishal Jain
language : en
Publisher: CRC Press
Release Date : 2021-05-10
Cognitive Computing Systems written by Vishal Jain and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-10 with Computers categories.
This new volume, Cognitive Computing Systems: Applications and Technological Advancements, explores the emerging area of artificial intelligence that encompasses machine self-learning, human-computer interaction, natural language processing, data mining and more. It introduces cognitive computing systems, highlights their key applications, discusses the technologies used in cognitive systems, and explains underlying models and architectures. Focusing on scientific work for real-world applications, each chapter presents the use of cognitive computing and machine learning in specific application areas. These include the use of speech recognition technology, application of neural networks in construction management, elevating competency in education, comprehensive health monitoring systems, predicting type 2 diabetes, applications for smart agricultural technology, human resource management, and more. With chapters from knowledgeable researchers in the area of artificial intelligence, cognitive computing, and allied areas, this book will be an asset for researchers, faculty, advances students, and industry professionals in many fields.
Cloud Computing For Machine Learning And Cognitive Applications
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Author : Kai Hwang
language : en
Publisher: MIT Press
Release Date : 2017-07-07
Cloud Computing For Machine Learning And Cognitive Applications written by Kai Hwang and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-07-07 with Computers categories.
The first textbook to teach students how to build data analytic solutions on large data sets using cloud-based technologies. This is the first textbook to teach students how to build data analytic solutions on large data sets (specifically in Internet of Things applications) using cloud-based technologies for data storage, transmission and mashup, and AI techniques to analyze this data. This textbook is designed to train college students to master modern cloud computing systems in operating principles, architecture design, machine learning algorithms, programming models and software tools for big data mining, analytics, and cognitive applications. The book will be suitable for use in one-semester computer science or electrical engineering courses on cloud computing, machine learning, cloud programming, cognitive computing, or big data science. The book will also be very useful as a reference for professionals who want to work in cloud computing and data science. Cloud and Cognitive Computing begins with two introductory chapters on fundamentals of cloud computing, data science, and adaptive computing that lay the foundation for the rest of the book. Subsequent chapters cover topics including cloud architecture, mashup services, virtual machines, Docker containers, mobile clouds, IoT and AI, inter-cloud mashups, and cloud performance and benchmarks, with a focus on Google's Brain Project, DeepMind, and X-Lab programs, IBKai HwangM SyNapse, Bluemix programs, cognitive initiatives, and neurocomputers. The book then covers machine learning algorithms and cloud programming software tools and application development, applying the tools in machine learning, social media, deep learning, and cognitive applications. All cloud systems are illustrated with big data and cognitive application examples.
Cognitive Computing For Machine Thinking
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Author : Makarand R. Velankar
language : en
Publisher: Springer Nature
Release Date : 2024-03-16
Cognitive Computing For Machine Thinking written by Makarand R. Velankar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-16 with Computers categories.
This book presents cognitive modeling along with the new paradigm machine thinking to enhance existing AI power and address its current limitations. This book provides overview of natural and artificial intelligence along with the computing models used currently. The need of advancing the current models is presented with suitable examples. The business case studies presented in different domains provide possible use of augmented intelligence with the proposed machine thinking paradigm. This book is targeted at academicians, researchers, students, professionals who belong to disciplines which involves intelligent computing and modelling human thinking. It provides possible multidisciplinary research directions including social psychology, artificial intelligence, HCI, cognition for applications in various domains.
Machine Learning And Cognitive Computing For Mobile Communications And Wireless Networks
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Author : Krishna Kant Singh
language : en
Publisher: John Wiley & Sons
Release Date : 2020-07-08
Machine Learning And Cognitive Computing For Mobile Communications And Wireless Networks written by Krishna Kant Singh and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-08 with Computers categories.
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.
Cognitive And Computational Paradigms For Future Social Networks
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Author : A. Pasumpon Pandian
language : en
Publisher: Springer
Release Date : 2022-09-23
Cognitive And Computational Paradigms For Future Social Networks written by A. Pasumpon Pandian and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-23 with Computers categories.
This book gathers novel research works that simulate human intelligence in cognitive and non-cognitive tasks like learning, problem-solving, and adaptation. Its focus is on the use of cognitive computational paradigms like neural networks, fuzzy systems, machine learning, cognition, deep learning, and hybrid parameters like neuro-fuzzy computing systems to address and overcome real-world complexities. The respective chapters highlight recent research advances and promising results obtained in the area of social networks by leveraging novel recommender systems, optimized resources, sustainable networking practices and autonomous decision-making models, and by developing new opportunities to enhance worldwide user interaction. In addition, the contributing authors have dedicated significant research attention to analyzing Big Data on social interactions. In addition, the book has a special focus on state-of-the-art applications that take human-computer interaction and social behavior into consideration. Given its scope, the book will be of interest and appeal to: · Information and Communication Technologies [ICT] researchers · Artificial Intelligence [AI] research communities · Social Network analysis and online communities · Community networking and control researchers · Researchers and practitioners whose work focuses on various aspects of cognitive computing, deep learning, expert systems, etc.
Cognitive Computing Theory And Applications
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Author : Vijay V Raghavan
language : en
Publisher: Elsevier
Release Date : 2016-09-10
Cognitive Computing Theory And Applications written by Vijay V Raghavan and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-09-10 with Mathematics categories.
Cognitive Computing: Theory and Applications, written by internationally renowned experts, focuses on cognitive computing and its theory and applications, including the use of cognitive computing to manage renewable energy, the environment, and other scarce resources, machine learning models and algorithms, biometrics, Kernel Based Models for transductive learning, neural networks, graph analytics in cyber security, neural networks, data driven speech recognition, and analytical platforms to study the brain-computer interface. - Comprehensively presents the various aspects of statistical methodology - Discusses a wide variety of diverse applications and recent developments - Contributors are internationally renowned experts in their respective areas
Artificial Intelligence And Cognitive Computing
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Author : Miltiadis D. Lytras
language : en
Publisher: MDPI
Release Date : 2021-09-10
Artificial Intelligence And Cognitive Computing written by Miltiadis D. Lytras and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-10 with Technology & Engineering categories.
Artificial intelligence (AI) is a subject garnering increasing attention in both academia and the industry today. The understanding is that AI-enhanced methods and techniques create a variety of opportunities related to improving basic and advanced business functions, including production processes, logistics, financial management and others. As this collection demonstrates, AI-enhanced tools and methods tend to offer more precise results in the fields of engineering, financial accounting, tourism, air-pollution management and many more. The objective of this collection is to bring these topics together to offer the reader a useful primer on how AI-enhanced tools and applications can be of use in today’s world. In the context of the frequently fearful, skeptical and emotion-laden debates on AI and its value added, this volume promotes a positive perspective on AI and its impact on society. AI is a part of a broader ecosystem of sophisticated tools, techniques and technologies, and therefore, it is not immune to developments in that ecosystem. It is thus imperative that inter- and multidisciplinary research on AI and its ecosystem is encouraged. This collection contributes to that.