Artificial Generation

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Author :
Publisher : Rutgers University Press
ISBN 13 : 1978825080
Total Pages : 261 pages
Book Rating : 4.9/5 (788 download)

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Book Synopsis Artificial Generation by : Christina Parker-Flynn

Download or read book Artificial Generation written by Christina Parker-Flynn and published by Rutgers University Press. This book was released on 2021-11-19 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Generation: Photogenic French Literature and the Prehistory of Cinematic Modernity investigates the intersection of film theory and nineteenth-century literature, arguing that the depth of amalgamation that occurred within literary representation during this era aims to replicate an illusion of life and its sensations, in ways directly related to broader transitions into our modern cinematic age. A key part of this evolution in representation relies on the continual re-emergence of the artificial woman as longstanding expression of masculine artistic subjectivity, which, by the later nineteenth century, becomes a photographic and filmic drive. Moving through the beginning of film history, from Georges Méliès and other “silent” filmmakers in the 1890s, into more contemporary movies, including Alfred Hitchcock’s Vertigo (1958) and Blade Runner 2049 (2017), the book analyzes how films are often structured around the prior century’s mythic and literary principles, which now serve as foundation for film as medium—a phantom form for life’s re-presentation. Artificial Generation provides a crucial reassessment of the longstanding, mutual exchange between cinematic and literary reproduction, offering an innovative perspective on the proto-cinematic imperative of simulation within nineteenth-century literary symbolism.

Artificial Intelligence for Future Generation Robotics

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Author :
Publisher : Elsevier
ISBN 13 : 032385799X
Total Pages : 180 pages
Book Rating : 4.3/5 (238 download)

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Book Synopsis Artificial Intelligence for Future Generation Robotics by : Rabindra Nath Shaw

Download or read book Artificial Intelligence for Future Generation Robotics written by Rabindra Nath Shaw and published by Elsevier. This book was released on 2021-06-19 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence for Future Generation Robotics offers a vision for potential future robotics applications for AI technologies. Each chapter includes theory and mathematics to stimulate novel research directions based on the state-of-the-art in AI and smart robotics. Organized by application into ten chapters, this book offers a practical tool for researchers and engineers looking for new avenues and use-cases that combine AI with smart robotics. As we witness exponential growth in automation and the rapid advancement of underpinning technologies, such as ubiquitous computing, sensing, intelligent data processing, mobile computing and context aware applications, this book is an ideal resource for future innovation. Brings AI and smart robotics into imaginative, technically-informed dialogue Integrates fundamentals with real-world applications Presents potential applications for AI in smart robotics by use-case Gives detailed theory and mathematical calculations for each application Stimulates new thinking and research in applying AI to robotics

Practical Synthetic Data Generation

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Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1492072699
Total Pages : 166 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis Practical Synthetic Data Generation by : Khaled El Emam

Download or read book Practical Synthetic Data Generation written by Khaled El Emam and published by "O'Reilly Media, Inc.". This book was released on 2020-05-19 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: Building and testing machine learning models requires access to large and diverse data. But where can you find usable datasets without running into privacy issues? This practical book introduces techniques for generating synthetic data—fake data generated from real data—so you can perform secondary analysis to do research, understand customer behaviors, develop new products, or generate new revenue. Data scientists will learn how synthetic data generation provides a way to make such data broadly available for secondary purposes while addressing many privacy concerns. Analysts will learn the principles and steps for generating synthetic data from real datasets. And business leaders will see how synthetic data can help accelerate time to a product or solution. This book describes: Steps for generating synthetic data using multivariate normal distributions Methods for distribution fitting covering different goodness-of-fit metrics How to replicate the simple structure of original data An approach for modeling data structure to consider complex relationships Multiple approaches and metrics you can use to assess data utility How analysis performed on real data can be replicated with synthetic data Privacy implications of synthetic data and methods to assess identity disclosure

The Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 1119985609
Total Pages : 516 pages
Book Rating : 4.1/5 (199 download)

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Book Synopsis The Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry by : Pethuru Raj Chelliah

Download or read book The Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry written by Pethuru Raj Chelliah and published by John Wiley & Sons. This book was released on 2023-12-04 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry Comprehensive resource describing how operations, outputs, and offerings of the oil and gas industry can improve via advancements in AI The Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry describes the proven and promising digital technologies and tools available to empower the oil and gas industry to be future-ready. It shows how the widely reported limitations of the oil and gas industry are being nullified through the application of breakthrough digital technologies and how the convergence of digital technologies helps create new possibilities and opportunities to take this industry to its next level. The text demonstrates how scores of proven digital technologies, especially in AI, are useful in elegantly fulfilling complicated requirements such as process optimization, automation and orchestration, real-time data analytics, productivity improvement, employee safety, predictive maintenance, yield prediction, and accurate asset management for the oil and gas industry. The text differentiates and delivers sophisticated use cases for the various stakeholders, providing easy-to-understand information to accurately utilize proven technologies towards achieving real and sustainable industry transformation. The Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry includes information on: How various machine and deep learning (ML/DL) algorithms, the prime modules of AI, empower AI systems to deliver on their promises and potential Key use cases of computer vision (CV) and natural language processing (NLP) as they relate to the oil and gas industry Smart leverage of AI, the Industrial Internet of Things (IIoT), cyber physical systems, and 5G communication Event-driven architecture (EDA), microservices architecture (MSA), blockchain for data and device security, and digital twins Clearly expounding how the power of AI and other allied technologies can be meticulously leveraged by the oil and gas industry, The Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry is an essential resource for students, scholars, IT professionals, and business leaders in many different intersecting fields.

Application of Artificial Intelligence to Assessment

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Author :
Publisher : IAP
ISBN 13 : 1641139536
Total Pages : 223 pages
Book Rating : 4.6/5 (411 download)

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Book Synopsis Application of Artificial Intelligence to Assessment by : Hong Jiao

Download or read book Application of Artificial Intelligence to Assessment written by Hong Jiao and published by IAP. This book was released on 2020-03-01 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: The general theme of this book is to present the applications of artificial intelligence (AI) in test development. In particular, this book includes research and successful examples of using AI technology in automated item generation, automated test assembly, automated scoring, and computerized adaptive testing. By utilizing artificial intelligence, the efficiency of item development, test form construction, test delivery, and scoring could be dramatically increased. Chapters on automated item generation offer different perspectives related to generating a large number of items with controlled psychometric properties including the latest development of using machine learning methods. Automated scoring is illustrated for different types of assessments such as speaking and writing from both methodological aspects and practical considerations. Further, automated test assembly is elaborated for the conventional linear tests from both classical test theory and item response theory perspectives. Item pool design and assembly for the linear-on-the-fly tests elaborates more complications in practice when test security is a big concern. Finally, several chapters focus on computerized adaptive testing (CAT) at either item or module levels. CAT is further illustrated as an effective approach to increasing test-takers’ engagement in testing. In summary, the book includes both theoretical, methodological, and applied research and practices that serve as the foundation for future development. These chapters provide illustrations of efforts to automate the process of test development. While some of these automation processes have become common practices such as automated test assembly, automated scoring, and computerized adaptive testing, some others such as automated item generation calls for more research and exploration. When new AI methods are emerging and evolving, it is expected that researchers can expand and improve the methods for automating different steps in test development to enhance the automation features and practitioners can adopt quality automation procedures to improve assessment practices.

Artificial Intelligence in Value Creation

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Author :
Publisher : Springer
ISBN 13 : 3319915967
Total Pages : 350 pages
Book Rating : 4.3/5 (199 download)

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Book Synopsis Artificial Intelligence in Value Creation by : Andrzej Wodecki

Download or read book Artificial Intelligence in Value Creation written by Andrzej Wodecki and published by Springer. This book was released on 2018-07-18 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book analyses various models of value creation in projects and businesses by applying different forms of Artificial Intelligence in their products and services. First presenting the main concepts and ideas behind AI, Wodecki assesses different models of technology-based value creation based upon the analysis of over 400 case studies. This framework shows how AI may influence both value creation and competitive advantage (efficiency, creativity and flexibility) within a modern organization. Finally, a conceptual model is formulated to evaluate AI-supported in-company projects and new ventures and identify the key managerial and technical competencies required.

The AI Generation

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Author :
Publisher : Simon and Schuster
ISBN 13 : 1681779358
Total Pages : 229 pages
Book Rating : 4.6/5 (817 download)

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Book Synopsis The AI Generation by : Olaf Groth

Download or read book The AI Generation written by Olaf Groth and published by Simon and Schuster. This book was released on 2018-11-06 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: An update edition of Solomon’s Code—now The A.I. Generation—the thought-provoking examination of artificial intelligence and how it reshapes human values, trust, and power around the world. Whether in medicine, money, or love, technologies powered by forms of artificial intelligence are playing an increasingly prominent role in our lives. As we cede more decisions to thinking machines, we face new questions about staying safe, keeping a job and having a say over the direction of our lives. The answers to those questions might depend on your race, gender, age, behavior, or nationality. New AI technologies can drive cars, treat damaged brains and nudge workers to be more productive, but they also can threaten, manipulate, and alienate us from others. They can pit nation against nation, but they also can help the global community tackle some of its greatest challenges—from food crises to global climate change. In clear and accessible prose, global trends and strategy adviser Olaf Groth, AI scientist and social entrepreneur Mark Nitzberg, along with seasoned economics reporter Dan Zehr, provide a unique human-focused, global view of humanity in a world of thinking machines.

Artificial Maturity

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Publisher : John Wiley & Sons
ISBN 13 : 1118258061
Total Pages : 279 pages
Book Rating : 4.1/5 (182 download)

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Book Synopsis Artificial Maturity by : Tim Elmore

Download or read book Artificial Maturity written by Tim Elmore and published by John Wiley & Sons. This book was released on 2012-06-19 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt: How to raise kids who can handle the real world Today's Generation iY (teens brought up with the Internet) and Homelanders (children born after 9/11) are overexposed to information at an earlier age than ever and paradoxically are underexposed to meaningful relationships and real-life experiences. Artificial Maturity addresses the problem of what to do when parents and teachers mistake children's superficial knowledge for real maturity. The book is filled with practical steps that adults can take to furnish the experiences kids need to balance their abilities with authentic maturity. Shows how to identify the problem of artificial maturity in Generation iY and Homelanders Reveals what to do to help children balance autonomy, responsibility, and information Includes a down-to-earth model for coaching and guiding youth to true maturity Artificial Maturity gives parents, teachers, and others who work with youth a manual for understanding and practicing the leadership kids so desperately need to mature in a healthy fashion.

Artificial Intelligence in Healthcare

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Author :
Publisher : Academic Press
ISBN 13 : 0128184396
Total Pages : 385 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Artificial Intelligence in Healthcare by : Adam Bohr

Download or read book Artificial Intelligence in Healthcare written by Adam Bohr and published by Academic Press. This book was released on 2020-06-21 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. Highlights different data techniques in healthcare data analysis, including machine learning and data mining Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks Includes applications and case studies across all areas of AI in healthcare data

Fundamentals of Deep Learning

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Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491925566
Total Pages : 365 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis Fundamentals of Deep Learning by : Nikhil Buduma

Download or read book Fundamentals of Deep Learning written by Nikhil Buduma and published by "O'Reilly Media, Inc.". This book was released on 2017-05-25 with total page 365 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the reinvigoration of neural networks in the 2000s, deep learning has become an extremely active area of research, one that’s paving the way for modern machine learning. In this practical book, author Nikhil Buduma provides examples and clear explanations to guide you through major concepts of this complicated field. Companies such as Google, Microsoft, and Facebook are actively growing in-house deep-learning teams. For the rest of us, however, deep learning is still a pretty complex and difficult subject to grasp. If you’re familiar with Python, and have a background in calculus, along with a basic understanding of machine learning, this book will get you started. Examine the foundations of machine learning and neural networks Learn how to train feed-forward neural networks Use TensorFlow to implement your first neural network Manage problems that arise as you begin to make networks deeper Build neural networks that analyze complex images Perform effective dimensionality reduction using autoencoders Dive deep into sequence analysis to examine language Learn the fundamentals of reinforcement learning

Robot-Proof

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Author :
Publisher : MIT Press
ISBN 13 : 0262535971
Total Pages : 211 pages
Book Rating : 4.2/5 (625 download)

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Book Synopsis Robot-Proof by : Joseph E. Aoun

Download or read book Robot-Proof written by Joseph E. Aoun and published by MIT Press. This book was released on 2018-08-14 with total page 211 pages. Available in PDF, EPUB and Kindle. Book excerpt: How to educate the next generation of college students to invent, to create, and to discover—filling needs that even the most sophisticated robot cannot. Driverless cars are hitting the road, powered by artificial intelligence. Robots can climb stairs, open doors, win Jeopardy, analyze stocks, work in factories, find parking spaces, advise oncologists. In the past, automation was considered a threat to low-skilled labor. Now, many high-skilled functions, including interpreting medical images, doing legal research, and analyzing data, are within the skill sets of machines. How can higher education prepare students for their professional lives when professions themselves are disappearing? In Robot-Proof, Northeastern University president Joseph Aoun proposes a way to educate the next generation of college students to invent, to create, and to discover—to fill needs in society that even the most sophisticated artificial intelligence agent cannot. A “robot-proof” education, Aoun argues, is not concerned solely with topping up students' minds with high-octane facts. Rather, it calibrates them with a creative mindset and the mental elasticity to invent, discover, or create something valuable to society—a scientific proof, a hip-hop recording, a web comic, a cure for cancer. Aoun lays out the framework for a new discipline, humanics, which builds on our innate strengths and prepares students to compete in a labor market in which smart machines work alongside human professionals. The new literacies of Aoun's humanics are data literacy, technological literacy, and human literacy. Students will need data literacy to manage the flow of big data, and technological literacy to know how their machines work, but human literacy—the humanities, communication, and design—to function as a human being. Life-long learning opportunities will support their ability to adapt to change. The only certainty about the future is change. Higher education based on the new literacies of humanics can equip students for living and working through change.

The Medieval Reception of Book Zeta of Aristotle’s Metaphysics (2 Vol. Set)

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Author :
Publisher : BRILL
ISBN 13 : 9004226680
Total Pages : 1402 pages
Book Rating : 4.0/5 (42 download)

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Book Synopsis The Medieval Reception of Book Zeta of Aristotle’s Metaphysics (2 Vol. Set) by : Gabriele Galluzzo

Download or read book The Medieval Reception of Book Zeta of Aristotle’s Metaphysics (2 Vol. Set) written by Gabriele Galluzzo and published by BRILL. This book was released on 2012-11-09 with total page 1402 pages. Available in PDF, EPUB and Kindle. Book excerpt: Focusing on the medieval reception of Book Zeta of Aristotle’s Metaphysics, Volume One of this work offers an unprecedented and philosophically oriented study of medieval ontology against the background of the current metaphysical debate on the nature of material objects. Volume Two makes available to scholars one of the culminating points in the medieval reception of Aristotle’s metaphysical thought by presenting the first critical edition of Book VII of Paul of Venice’s Commentary on Aristotle’s Metaphysics (1420-1424).”

Artificial Intelligence Applications and Innovations

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Author :
Publisher : Springer
ISBN 13 : 3030198235
Total Pages : 694 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Artificial Intelligence Applications and Innovations by : John MacIntyre

Download or read book Artificial Intelligence Applications and Innovations written by John MacIntyre and published by Springer. This book was released on 2019-05-15 with total page 694 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 15th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2019, held in Hersonissos, Crete, Greece, in May 2019. The 49 full papers and 6 short papers presented were carefully reviewed and selected from 101 submissions. They cover a broad range of topics such as deep learning ANN; genetic algorithms - optimization; constraints modeling; ANN training algorithms; social media intelligent modeling; text mining/machine translation; fuzzy modeling; biomedical and bioinformatics algorithms and systems; feature selection; emotion recognition; hybrid Intelligent models; classification - pattern recognition; intelligent security modeling; complex stochastic games; unsupervised machine learning; ANN in industry; intelligent clustering; convolutional and recurrent ANN; recommender systems; intelligent telecommunications modeling; and intelligent hybrid systems using Internet of Things. The papers are organized in the following topical sections:AI anomaly detection - active learning; autonomous vehicles - aerial vehicles; biomedical AI; classification - clustering; constraint programming - brain inspired modeling; deep learning - convolutional ANN; fuzzy modeling; learning automata - logic based reasoning; machine learning - natural language; multi agent - IoT; nature inspired flight and robot; control - machine vision; and recommendation systems.

Reshaping Learning with Next Generation Educational Technologies

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Author :
Publisher : IGI Global
ISBN 13 :
Total Pages : 263 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Reshaping Learning with Next Generation Educational Technologies by : Braman, James

Download or read book Reshaping Learning with Next Generation Educational Technologies written by Braman, James and published by IGI Global. This book was released on 2024-05-06 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: The traditional educational landscape often struggles to keep pace with the rapid advancements in technology and the evolving needs of both students and educators. This challenge has given rise to a crucial question; how can we effectively harness the full potential of next-generation educational technologies to shape a brighter future for education? A solution to this very question can be found within the pages ofReshaping Learning with Next Generation Educational Technologies. This book delves deep into the convergence of artificial intelligence (AI), disruptive technologies, and cutting-edge educational practices, revealing their transformative power. Through practical examples, visionary insights, and thought-provoking analyses, it provides a roadmap for educators, researchers, and professionals to navigate this changing educational landscape. It's a call to action, urging academia to seize the transformative potential of these groundbreaking technologies.

Archeologia e Calcolatori, Supplemento 6, 2014. ARCHEOSEMA. Artificial Adaptive Systems for the Analysis of Complex Phenomena. Collected Papers in Honour of David Leonard Clarke

Download Archeologia e Calcolatori, Supplemento 6, 2014. ARCHEOSEMA. Artificial Adaptive Systems for the Analysis of Complex Phenomena. Collected Papers in Honour of David Leonard Clarke PDF Online Free

Author :
Publisher : All’Insegna del Giglio
ISBN 13 : 8878146080
Total Pages : 292 pages
Book Rating : 4.8/5 (781 download)

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Book Synopsis Archeologia e Calcolatori, Supplemento 6, 2014. ARCHEOSEMA. Artificial Adaptive Systems for the Analysis of Complex Phenomena. Collected Papers in Honour of David Leonard Clarke by : Marco Ramazzotti

Download or read book Archeologia e Calcolatori, Supplemento 6, 2014. ARCHEOSEMA. Artificial Adaptive Systems for the Analysis of Complex Phenomena. Collected Papers in Honour of David Leonard Clarke written by Marco Ramazzotti and published by All’Insegna del Giglio. This book was released on 2014-01-01 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: ARCHEOSEMA, a meta-disciplinary project of theoretical, analytical and experimental archaeology, has been recently awarded by La Sapienza University of Rome. The project title is an acronym which sums up its two main theoretical foundations: the openness of modern archaeology (ARCHEO) to the analysis of physical, historical, linguistic signs (SEMA) underlying natural and cultural systems reconstructed and simulated through Artificial Sciences. This volume edited by Marco Ramazzotti, a Supplement to «Archeologia e Calcolatori», is a Special Issue dedicated to the memory of the English archaeologist David Leonard Clarke (1937-1976), and is a further attempt to collect some applicative studies of complex natural and cultural phenomena following the Artificial Intelligence computational models through the lens of Analytical Archaeology.

Artificial Intelligence for Digitising Industry – Applications

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Author :
Publisher : CRC Press
ISBN 13 : 1000794318
Total Pages : 435 pages
Book Rating : 4.0/5 (7 download)

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Book Synopsis Artificial Intelligence for Digitising Industry – Applications by : Ovidiu Vermesan

Download or read book Artificial Intelligence for Digitising Industry – Applications written by Ovidiu Vermesan and published by CRC Press. This book was released on 2022-09-01 with total page 435 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides in-depth insights into use cases implementing artificial intelligence (AI) applications at the edge. It covers new ideas, concepts, research, and innovation to enable the development and deployment of AI, the industrial internet of things (IIoT), edge computing, and digital twin technologies in industrial environments. The work is based on the research results and activities of the AI4DI project, including an overview of industrial use cases, research, technological innovation, validation, and deployment. This book’s sections build on the research, development, and innovative ideas elaborated for applications in five industries: automotive, semiconductor, industrial machinery, food and beverage, and transportation. The articles included under each of these five industrial sectors discuss AI-based methods, techniques, models, algorithms, and supporting technologies, such as IIoT, edge computing, digital twins, collaborative robots, silicon-born AI circuit concepts, neuromorphic architectures, and augmented intelligence, that are anticipating the development of Industry 5.0. Automotive applications cover use cases addressing AI-based solutions for inbound logistics and assembly process optimisation, autonomous reconfigurable battery systems, virtual AI training platforms for robot learning, autonomous mobile robotic agents, and predictive maintenance for machines on the level of a digital twin. AI-based technologies and applications in the semiconductor manufacturing industry address use cases related to AI-based failure modes and effects analysis assistants, neural networks for predicting critical 3D dimensions in MEMS inertial sensors, machine vision systems developed in the wafer inspection production line, semiconductor wafer fault classifications, automatic inspection of scanning electron microscope cross-section images for technology verification, anomaly detection on wire bond process trace data, and optical inspection. The use cases presented for machinery and industrial equipment industry applications cover topics related to wood machinery, with the perception of the surrounding environment and intelligent robot applications. AI, IIoT, and robotics solutions are highlighted for the food and beverage industry, presenting use cases addressing novel AI-based environmental monitoring; autonomous environment-aware, quality control systems for Champagne production; and production process optimisation and predictive maintenance for soybeans manufacturing. For the transportation sector, the use cases presented cover the mobility-as-a-service development of AI-based fleet management for supporting multimodal transport. This book highlights the significant technological challenges that AI application developments in industrial sectors are facing, presenting several research challenges and open issues that should guide future development for evolution towards an environment-friendly Industry 5.0. The challenges presented for AI-based applications in industrial environments include issues related to complexity, multidisciplinary and heterogeneity, convergence of AI with other technologies, energy consumption and efficiency, knowledge acquisition, reasoning with limited data, fusion of heterogeneous data, availability of reliable data sets, verification, validation, and testing for decision-making processes.

Artificial Intelligence in Cyber Security: Impact and Implications

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Author :
Publisher : Springer Nature
ISBN 13 : 3030880400
Total Pages : 305 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Artificial Intelligence in Cyber Security: Impact and Implications by : Reza Montasari

Download or read book Artificial Intelligence in Cyber Security: Impact and Implications written by Reza Montasari and published by Springer Nature. This book was released on 2021-11-26 with total page 305 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book provides a valuable reference for cyber security experts, digital forensic practitioners and network security professionals. In recent years, AI has gained substantial attention from researchers in both academia and industry, and as a result AI’s capabilities are constantly increasing at an extraordinary pace. AI is considered to be the Fourth Industrial Revolution or at least the next significant technological change after the evolution in mobile and cloud computing technologies. AI is a vehicle for improving the quality of our lives across every spectrum with a broad range of beneficial applications in various sectors. Notwithstanding its numerous beneficial use, AI simultaneously poses numerous legal, ethical, security and privacy challenges that are compounded by its malicious use by criminals. These challenges pose many risks to both our privacy and security at national, organisational and individual levels. In view of this, this book aims to help address some of these challenges focusing on the implication, impact and mitigations of the stated issues. The book provides a comprehensive coverage of not only the technical and ethical issues presented by the use of AI but also the adversarial application of AI and its associated implications. The authors recommend a number of novel approaches to assist in better detecting, thwarting and addressing AI challenges. The book also looks ahead and forecasts what attacks can be carried out in the future through the malicious use of the AI if sufficient defences are not implemented. The research contained in the book fits well into the larger body of work on various aspects of AI and cyber security. It is also aimed at researchers seeking to obtain a more profound knowledge of machine learning and deep learning in the context of cyber security, digital forensics and cybercrime. Furthermore, the book is an exceptional advanced text for Ph.D. and master’s degree programmes in cyber security, digital forensics, network security, cyber terrorism and computer science. Each chapter contributed to the book is written by an internationally renowned expert who has extensive experience in law enforcement, industry or academia. Furthermore, this book blends advanced research findings with practice-based methods to provide the reader with advanced understanding and relevant skills.