Artificial Intelligence In A Throughput Model

Download Artificial Intelligence In A Throughput Model full books in PDF, epub, and Kindle. Read online Artificial Intelligence In A Throughput Model ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Artificial Intelligence in a Throughput Model

Author : Waymond Rodgers
Publisher : CRC Press
ISBN 13 : 0429561032
Total Pages : 192 pages
Book Rating : 4.4/5 (295 download)

DOWNLOAD NOW!

Book Synopsis Artificial Intelligence in a Throughput Model by : Waymond Rodgers

Download or read book Artificial Intelligence in a Throughput Model written by Waymond Rodgers and published by CRC Press. This book was released on 2020-03-06 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: Physical and behavioral biometric technologies such as fingerprinting, facial recognition, voice identification, etc. have enhanced the level of security substantially in recent years. Governments and corporates have employed these technologies to achieve better customer satisfaction. However, biometrics faces major challenges in reducing criminal, terrorist activities and electronic frauds, especially in choosing appropriate decision-making algorithms. To face this challenge, new developments have been made, that amalgamate biometrics with artificial intelligence (AI) in decision-making modeling. Advanced software algorithms of AI, processing information offered by biometric technology, achieve better results. This has led to growth in the biometrics technology industry, and is set to increase the security and internal control operations manifold. This book provides an overview of the existing biometric technologies, decision-making algorithms and the growth opportunity in biometrics. The book proposes a throughput model, which draws on computer science, economics and psychology to model perceptual, informational sources, judgmental processes and decision choice algorithms. It reviews how biometrics might be applied to reduce risks to individuals and organizations, especially when dealing with digital-based media.

Artificial Intelligence in a Throughput Model

Author : Taylor & Francis Group
Publisher : CRC Press
ISBN 13 : 9780367507466
Total Pages : 212 pages
Book Rating : 4.5/5 (74 download)

DOWNLOAD NOW!

Book Synopsis Artificial Intelligence in a Throughput Model by : Taylor & Francis Group

Download or read book Artificial Intelligence in a Throughput Model written by Taylor & Francis Group and published by CRC Press. This book was released on 2021-09 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: Physical and behavioral biometric technologies such as fingerprinting, facial recognition, voice identification, etc. have enhanced the level of security substantially in recent years. Governments and corporates have employed these technologies to achieve better customer satisfaction. However, biometrics faces major challenges in reducing criminal, terrorist activities and electronic frauds, especially in choosing appropriate decision-making algorithms. To face this challenge, new developments have been made, that amalgamate biometrics with artificial intelligence (AI) in decision-making modeling. Advanced software algorithms of AI, processing information offered by biometric technology, achieve better results. This has led to growth in the biometrics technology industry, and is set to increase the security and internal control operations manifold. This book provides an overview of the existing biometric technologies, decision-making algorithms and the growth opportunity in biometrics. The book proposes a throughput model, which draws on computer science, economics and psychology to model perceptual, informational sources, judgmental processes and decision choice algorithms. It reviews how biometrics might be applied to reduce risks to individuals and organizations, especially when dealing with digital-based media.

Dominant Algorithms to Evaluate Artificial Intelligence: From the View of Throughput Model

Author : Waymond Rodgers
Publisher : Bentham Science Publishers
ISBN 13 : 9815049550
Total Pages : 329 pages
Book Rating : 4.8/5 (15 download)

DOWNLOAD NOW!

Book Synopsis Dominant Algorithms to Evaluate Artificial Intelligence: From the View of Throughput Model by : Waymond Rodgers

Download or read book Dominant Algorithms to Evaluate Artificial Intelligence: From the View of Throughput Model written by Waymond Rodgers and published by Bentham Science Publishers. This book was released on 2022-07-20 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the Throughput Model methodology that can enable individuals and organizations to better identify, understand, and use algorithms to solve daily problems. The Throughput Model is a progressive model intended to advance the artificial intelligence (AI) field since it represents symbol manipulation in six algorithmic pathways that are theorized to mimic the essential pillars of human cognition, namely, perception, information, judgment, and decision choice. The six AI algorithmic pathways are (1) Expedient Algorithmic Pathway, (2) Ruling Algorithmic Guide Pathway, (3) Analytical Algorithmic Pathway, (4) Revisionist Algorithmic Pathway, (5) Value Driven Algorithmic Pathway, and (6) Global Perspective Algorithmic Pathway. As AI is increasingly employed for applications where decisions require explanations, the Throughput Model offers business professionals the means to look under the hood of AI and comprehend how those decisions are attained by organizations. Key Features: - Covers general concepts of Artificial intelligence and machine learning - Explains the importance of dominant AI algorithms for business and AI research - Provides information about 6 unique algorithmic pathways in the Throughput Model - Provides information to create a roadmap towards building architectures that combine the strengths of the symbolic approaches for analyzing big data - Explains how to understand the functions of an AI algorithm to solve problems and make good decisions - informs managers who are interested in employing ethical and trustworthiness features in systems. Dominant Algorithms to Evaluate Artificial Intelligence: From the view of Throughput Model is an informative reference for all professionals and scholars who are working on AI projects to solve a range of business and technical problems.

Artificial Intelligence and Machine Learning for Open-world Novelty

Author :
Publisher : Elsevier
ISBN 13 : 0323999298
Total Pages : 378 pages
Book Rating : 4.3/5 (239 download)

DOWNLOAD NOW!

Book Synopsis Artificial Intelligence and Machine Learning for Open-world Novelty by :

Download or read book Artificial Intelligence and Machine Learning for Open-world Novelty written by and published by Elsevier. This book was released on 2024-02-20 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in Computers, Volume presents innovations in computer hardware, software, theory, design and applications, with this updated volume including new chapters on - Contains novel subject matter that is relevant to computer science - Includes the expertise of contributing authors - Presents an easy to comprehend writing style

Artificial Intelligence of Things (AIoT)

Author : Kashif Naseer Qureshi
Publisher : CRC Press
ISBN 13 : 1003854273
Total Pages : 272 pages
Book Rating : 4.0/5 (38 download)

DOWNLOAD NOW!

Book Synopsis Artificial Intelligence of Things (AIoT) by : Kashif Naseer Qureshi

Download or read book Artificial Intelligence of Things (AIoT) written by Kashif Naseer Qureshi and published by CRC Press. This book was released on 2024-04-05 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is devoted to the new standards, technologies, and communication systems for Artificial Intelligence of Things (AIoT) networks. Smart and intelligent communication networks have gained significant attention due to the combination of AI and IoT networks to improve human and machine interfaces and enhance data processing and services. AIoT networks involve the collection of data from several devices and sensor nodes in the environment. AI can enhance these networks to make them faster, greener, smarter, and safer. Computer vision, language processing, and speech recognition are some examples of AIoT networks. Due to a large number of devices in today’s world, efficient and intelligent data processing is essential for problem-solving and decision-making. AI multiplies the value of these networks and promotes intelligence and learning capabilities, especially in homes, offices, and cities. However, several challenges have been observed in deploying AIoT networks, such as scalability, complexity, accuracy, and robustness. In addition, these networks are integrated with cloud, 5G networks, and blockchain methods for service provision. Many different solutions have been proposed to address issues related to machine and deep learning methods, ontology-based approaches, genetic algorithms, and fuzzy-based systems. This book aims to contribute to the state of the art and present current standards, technologies, and approaches for AIoT networks. This book focuses on existing solutions in AIoT network technologies, applications, services, standards, architectures, and security provisions. This book also introduces some new architectures and models for AIoT networks.

Artificial Intelligence for Materials Science

Author : Yuan Cheng
Publisher : Springer Nature
ISBN 13 : 3030683109
Total Pages : 231 pages
Book Rating : 4.0/5 (36 download)

DOWNLOAD NOW!

Book Synopsis Artificial Intelligence for Materials Science by : Yuan Cheng

Download or read book Artificial Intelligence for Materials Science written by Yuan Cheng and published by Springer Nature. This book was released on 2021-03-26 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning methods have lowered the cost of exploring new structures of unknown compounds, and can be used to predict reasonable expectations and subsequently validated by experimental results. As new insights and several elaborative tools have been developed for materials science and engineering in recent years, it is an appropriate time to present a book covering recent progress in this field. Searchable and interactive databases can promote research on emerging materials. Recently, databases containing a large number of high-quality materials properties for new advanced materials discovery have been developed. These approaches are set to make a significant impact on human life and, with numerous commercial developments emerging, will become a major academic topic in the coming years. This authoritative and comprehensive book will be of interest to both existing researchers in this field as well as others in the materials science community who wish to take advantage of these powerful techniques. The book offers a global spread of authors, from USA, Canada, UK, Japan, France, Russia, China and Singapore, who are all world recognized experts in their separate areas. With content relevant to both academic and commercial points of view, and offering an accessible overview of recent progress and potential future directions, the book will interest graduate students, postgraduate researchers, and consultants and industrial engineers.

Performance Evaluation and Benchmarking for the Era of Artificial Intelligence

Author : Raghunath Nambiar
Publisher : Springer
ISBN 13 : 303011404X
Total Pages : 168 pages
Book Rating : 4.0/5 (31 download)

DOWNLOAD NOW!

Book Synopsis Performance Evaluation and Benchmarking for the Era of Artificial Intelligence by : Raghunath Nambiar

Download or read book Performance Evaluation and Benchmarking for the Era of Artificial Intelligence written by Raghunath Nambiar and published by Springer. This book was released on 2019-01-29 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-conference proceedings of the 10th TPC Technology Conference on Performance Evaluation and Benchmarking, TPCTC 2018, held in conjunction with the 44th International Conference on Very Large Databases (VLDB 2018) in August 2018. The 10 papers presented were carefully reviewed and selected from numerous submissions. The TPC encourages researchers and industry experts to present and debate novel ideas and methodologies in performance evaluation, measurement, and characterization.

The Dictionary of Artificial Intelligence

Author : Utku Taşova
Publisher : Entropol
ISBN 13 :
Total Pages : 565 pages
Book Rating : 4./5 ( download)

DOWNLOAD NOW!

Book Synopsis The Dictionary of Artificial Intelligence by : Utku Taşova

Download or read book The Dictionary of Artificial Intelligence written by Utku Taşova and published by Entropol. This book was released on 2023-11-03 with total page 565 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unveiling the Future: Your Portal to Artificial Intelligence Proficiency In the epoch of digital metamorphosis, Artificial Intelligence (AI) stands as the vanguard of a new dawn, a nexus where human ingenuity intertwines with machine precision. As we delve deeper into this uncharted realm, the boundary between the conceivable and the fantastical continually blurs, heralding a new era of endless possibilities. The Dictionary of Artificial Intelligence, embracing a compendium of 3,300 meticulously curated titles, endeavors to be the torchbearer in this journey of discovery, offering a wellspring of knowledge to both the uninitiated and the adept. Embarking on the pages of this dictionary is akin to embarking on a voyage through the vast and often turbulent seas of AI. Each entry serves as a beacon, illuminating complex terminologies, core principles, and the avant-garde advancements that characterize this dynamic domain. The dictionary is more than a mere compilation of terms; it's a labyrinth of understanding waiting to be traversed. The Dictionary of Artificial Intelligence is an endeavor to demystify the arcane, to foster a shared lexicon that enhances collaboration, innovation, and comprehension across the AI community. It's a mission to bridge the chasm between ignorance and insight, to unravel the intricacies of AI that often seem enigmatic to the outsiders. This profound reference material transcends being a passive repository of terms; it’s an engagement with the multifaceted domain of artificial intelligence. Each title encapsulated within these pages is a testament to the audacity of human curiosity and the unyielding quest for advancement that propels the AI domain forward. The Dictionary of Artificial Intelligence is an invitation to delve deeper, to grapple with the lexicon of a field that stands at the cusp of redefining the very fabric of society. It's a conduit through which the curious become enlightened, the proficient become masters, and the innovators find inspiration. As you traverse through the entries of The Dictionary of Artificial Intelligence, you are embarking on a journey of discovery. A journey that not only augments your understanding but also ignites the spark of curiosity and the drive for innovation that are quintessential in navigating the realms of AI. We beckon you to commence this educational expedition, to explore the breadth and depth of AI lexicon, and to emerge with a boundless understanding and an unyielding resolve to contribute to the ever-evolving narrative of artificial intelligence. Through The Dictionary of Artificial Intelligence, may your quest for knowledge be as boundless and exhilarating as the domain it explores.

Artificial Intelligence in Chemistry

Author : José S. Torrecilla
Publisher : Frontiers Media SA
ISBN 13 : 2889638707
Total Pages : 89 pages
Book Rating : 4.8/5 (896 download)

DOWNLOAD NOW!

Book Synopsis Artificial Intelligence in Chemistry by : José S. Torrecilla

Download or read book Artificial Intelligence in Chemistry written by José S. Torrecilla and published by Frontiers Media SA. This book was released on 2020-07-17 with total page 89 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Strategies for E-Commerce Data Security: Cloud, Blockchain, AI, and Machine Learning

Author : Goel, Pawan Kumar
Publisher : IGI Global
ISBN 13 :
Total Pages : 689 pages
Book Rating : 4.3/5 (693 download)

DOWNLOAD NOW!

Book Synopsis Strategies for E-Commerce Data Security: Cloud, Blockchain, AI, and Machine Learning by : Goel, Pawan Kumar

Download or read book Strategies for E-Commerce Data Security: Cloud, Blockchain, AI, and Machine Learning written by Goel, Pawan Kumar and published by IGI Global. This book was released on 2024-08-22 with total page 689 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the landscape of e-commerce, data security has become a concern as businesses navigate the complexities of sensitive customer information protection and cyber threat mitigation. Strategies involving cloud computing, blockchain technology, artificial intelligence, and machine learning offer solutions to strengthen data security and ensure transactional integrity. Implementing these technologies requires a balance of innovation and efficient security protocols. The development and adoption of security strategies is necessary to positively integrate cutting-edge technologies for effective security in online business. Strategies for E-Commerce Data Security: Cloud, Blockchain, AI, and Machine Learning addresses the need for advanced security measures, while examining the current state of e-commerce data security. It explores strategies such as cloud computing, blockchain, artificial intelligence, and machine learning. This book covers topics such as cybersecurity, cloud technology, and forensics, and is a useful resource for computer engineers, business owners, security professionals, government officials, academicians, scientists, and researchers.

Artificial Intelligence and Alzheimer's Disease

Author : KHRITISH SWARGIARY
Publisher : ERA, US
ISBN 13 :
Total Pages : 158 pages
Book Rating : 4./5 ( download)

DOWNLOAD NOW!

Book Synopsis Artificial Intelligence and Alzheimer's Disease by : KHRITISH SWARGIARY

Download or read book Artificial Intelligence and Alzheimer's Disease written by KHRITISH SWARGIARY and published by ERA, US. This book was released on 2024-08-01 with total page 158 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the field of medical research and technological innovation, few challenges are as profound and pressing as the quest to understand and combat Alzheimer’s Disease. This neurodegenerative disorder, characterized by progressive memory loss and cognitive decline, affects millions of individuals worldwide and poses significant challenges for patients, families, and healthcare systems alike. The search for effective diagnostic tools, prognostic indicators, and therapeutic interventions remains a critical area of scientific inquiry. The emergence of Artificial Intelligence (AI) has heralded a new era of possibilities in healthcare, offering transformative potential for the study and treatment of Alzheimer’s Disease. By leveraging advanced computational techniques, machine learning algorithms, and data analytics, AI holds the promise of revolutionizing our approach to understanding the complexities of this disease. From early diagnosis to personalized treatment and patient monitoring, AI's applications in Alzheimer’s research and care are rapidly expanding, presenting both opportunities and challenges that warrant thorough exploration. This book aims to provide a comprehensive overview of the intersection between AI and Alzheimer’s Disease. It is designed to serve as a valuable resource for researchers, clinicians, policymakers, and students who are engaged in the fields of neurology, artificial intelligence, and healthcare technology. Through a detailed examination of current advancements, practical applications, and future directions, this work seeks to illuminate the transformative impact of AI on Alzheimer’s research and patient care.

Artificial Intelligence in Brain and Mental Health: Philosophical, Ethical & Policy Issues

Author : Fabrice Jotterand
Publisher : Springer Nature
ISBN 13 : 3030741885
Total Pages : 270 pages
Book Rating : 4.0/5 (37 download)

DOWNLOAD NOW!

Book Synopsis Artificial Intelligence in Brain and Mental Health: Philosophical, Ethical & Policy Issues by : Fabrice Jotterand

Download or read book Artificial Intelligence in Brain and Mental Health: Philosophical, Ethical & Policy Issues written by Fabrice Jotterand and published by Springer Nature. This book was released on 2022-02-11 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume provides an interdisciplinary collection of essays from leaders in various fields addressing the current and future challenges arising from the implementation of AI in brain and mental health. Artificial Intelligence (AI) has the potential to transform health care and improve biomedical research. While the potential of AI in brain and mental health is tremendous, its ethical, regulatory and social impacts have not been assessed in a comprehensive and systemic way. The volume is structured according to three main sections, each of them focusing on different types of AI technologies. Part 1, Big Data and Automated Learning: Scientific and Ethical Considerations, specifically addresses issues arising from the use of AI software, especially machine learning, in the clinical context or for therapeutic applications. Part 2, AI for Digital Mental Health and Assistive Robotics: Philosophical and Regulatory Challenges, examines philosophical, ethical and regulatory issues arising from the use of an array of technologies beyond the clinical context. In the final section of the volume, Part 3 entitled AI in Neuroscience and Neurotechnology: Ethical, Social and Policy Issues, contributions examine some of the implications of AI in neuroscience and neurotechnology and the regulatory gaps or ambiguities that could potentially hamper the responsible development and implementation of AI solutions in brain and mental health. In light of its comprehensiveness and multi-disciplinary character, this book marks an important milestone in the public understanding of the ethics of AI in brain and mental health and provides a useful resource for any future investigation in this crucial and rapidly evolving area of AI application. The book is of interest to a wide audience in neuroethics, robotics, computer science, neuroscience, psychiatry and mental health.

A Practical Guide to Artificial Intelligence and Data Analytics

Author : Rayan Wali
Publisher : Rayan Wali
ISBN 13 :
Total Pages : 605 pages
Book Rating : 4./5 ( download)

DOWNLOAD NOW!

Book Synopsis A Practical Guide to Artificial Intelligence and Data Analytics by : Rayan Wali

Download or read book A Practical Guide to Artificial Intelligence and Data Analytics written by Rayan Wali and published by Rayan Wali. This book was released on 2021-06-12 with total page 605 pages. Available in PDF, EPUB and Kindle. Book excerpt: Whether you are looking to prepare for AI/ML/Data Science job interviews or you are a beginner in the field of Data Science and AI, this book is designed for engineers and AI enthusiasts like you at all skill levels. Taking a different approach from a traditional textbook style of instruction, A Practical Guide to AI and Data Analytics touches on all of the fundamental topics you will need to understand deeper into machine learning and artificial intelligence research, literature, and practical applications with its four parts: Part I: Concept Instruction Part II: 8 Full-Length Case Studies Part III: 50+ Mixed Exercises Part IV: A Full-Length Assessment With an illustrative approach to instruction, worked examples, and case studies, this easy-to-understand book simplifies many of the AI and Data Analytics key concepts, leading to an improvement of AI/ML system design skills.

Artificial Intelligence (AI)

Author : S. Kanimozhi Suguna
Publisher : CRC Press
ISBN 13 : 1000375528
Total Pages : 331 pages
Book Rating : 4.0/5 (3 download)

DOWNLOAD NOW!

Book Synopsis Artificial Intelligence (AI) by : S. Kanimozhi Suguna

Download or read book Artificial Intelligence (AI) written by S. Kanimozhi Suguna and published by CRC Press. This book was released on 2021-05-27 with total page 331 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book aims to bring together leading academic scientists, researchers, and research scholars to exchange and share their experiences and research results on all aspects of Artificial Intelligence. The book provides a premier interdisciplinary platform to present practical challenges and adopted solutions. The book addresses the complete functional framework workflow in Artificial Intelligence technology. It explores the basic and high-level concepts and can serve as a manual for the industry for beginners and the more advanced. It covers intelligent and automated systems and its implications to the real-world, and offers data acquisition and case studies related to data-intensive technologies in AI-based applications. The book will be of interest to researchers, professionals, scientists, professors, students of computer science engineering, electronics and communications, as well as information technology.

High-Throughput Screening for Drug Discovery

Author : Shailendra K. Saxena
Publisher : BoD – Books on Demand
ISBN 13 : 1839629479
Total Pages : 130 pages
Book Rating : 4.8/5 (396 download)

DOWNLOAD NOW!

Book Synopsis High-Throughput Screening for Drug Discovery by : Shailendra K. Saxena

Download or read book High-Throughput Screening for Drug Discovery written by Shailendra K. Saxena and published by BoD – Books on Demand. This book was released on 2022-05-25 with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book focuses on various aspects and properties of high-throughput screening (HTS), which is of great importance in the development of novel drugs to treat communicable and non-communicable diseases. Chapters in this volume discuss HTS methodologies, resources, and technologies and highlight the significance of HTS in personalized and precision medicine.

Medical Applications of Artificial Intelligence

Author : Arvin Agah
Publisher : CRC Press
ISBN 13 : 143988434X
Total Pages : 480 pages
Book Rating : 4.4/5 (398 download)

DOWNLOAD NOW!

Book Synopsis Medical Applications of Artificial Intelligence by : Arvin Agah

Download or read book Medical Applications of Artificial Intelligence written by Arvin Agah and published by CRC Press. This book was released on 2013-11-06 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: Enhanced, more reliable, and better understood than in the past, artificial intelligence (AI) systems can make providing healthcare more accurate, affordable, accessible, consistent, and efficient. However, AI technologies have not been as well integrated into medicine as predicted. In order to succeed, medical and computational scientists must dev

Handbook of Research on AI and ML for Intelligent Machines and Systems

Author : Gupta, Brij B.
Publisher : IGI Global
ISBN 13 :
Total Pages : 530 pages
Book Rating : 4.3/5 (693 download)

DOWNLOAD NOW!

Book Synopsis Handbook of Research on AI and ML for Intelligent Machines and Systems by : Gupta, Brij B.

Download or read book Handbook of Research on AI and ML for Intelligent Machines and Systems written by Gupta, Brij B. and published by IGI Global. This book was released on 2023-11-27 with total page 530 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook of Research on AI and ML for Intelligent Machines and Systems offers a comprehensive exploration of the pivotal role played by artificial intelligence (AI) and machine learning (ML) technologies in the development of intelligent machines. As the demand for intelligent machines continues to rise across various sectors, understanding the integration of these advanced technologies becomes paramount. While AI and ML have individually showcased their capabilities in developing robust intelligent machine systems and services, their fusion holds the key to propelling intelligent machines to a new realm of transformation. By compiling recent advancements in intelligent machines that rely on machine learning and deep learning technologies, this book serves as a vital resource for researchers, graduate students, PhD scholars, faculty members, scientists, and software developers. It offers valuable insights into the key concepts of AI and ML, covering essential security aspects, current trends, and often overlooked perspectives that are crucial for achieving comprehensive understanding. It not only explores the theoretical foundations of AI and ML but also provides guidance on applying these techniques to solve real-world problems. Unlike traditional texts, it offers flexibility through its distinctive module-based structure, allowing readers to follow their own learning paths.