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Tools for Design, Implementation and Verification of Emerging Information Technologies: 18th EAI International Conference, TRIDENTCOM 2023, Nanjing, China, November 11-13, 2023, Proceedings (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering #523)
by Jianghua Liu Lei Xu Xinyi HuangThis book constitutes the refereed post-conference proceedings of the 18th EAI International Conference on Tools for Design, Implementation and Verification of Emerging Information Technologies, TridentCom 2023, which was held in Nanjing, China, during November 11-13, 2023. The 9 full papers were selected from 30 submissions and deal the emerging technologies of big data, cyber-physical systems and computer communications. The papers are grouped in thematical sessions on blockchain and its applications; emerging applications; AI and its security.
Topics in Artificial Intelligence Applied to Industry 4.0
by Amit Kumar Tyagi Abdullah Saad Al-Malaise Al-Ghamdi Swetta Kukreja Mahmoud Ragab Al-RefaeyTopics in Artificial Intelligence Applied to Industry 4.0 Forward thinking resource discussing emerging AI and IoT technologies and how they are applied to Industry 4.0 Topics in Artificial Intelligence Applied to Industry 4.0 discusses the design principles, technologies, and applications of emerging AI and IoT solutions on Industry 4.0, explaining how to make improvements in infrastructure through emerging technologies. Providing a clear connection with different technologies such as IoT, Big Data, AR and VR, and Blockchain, this book presents security, privacy, trust, and other issues whilst delving into real-world problems and case studies. The text takes a highly practical approach, with a clear insight on how readers can increase productivity by drastically shortening the time period between the development of a new product and its delivery to customers in the market by 50%. This book also discusses how to save energy across systems to ensure competitiveness in a global market, and become more responsive in how they produce products and services for their consumers, such as by investing in flexible production lines. Written by highly qualified authors, Topics in Artificial Intelligence Applied to Industry 4.0 explores sample topics such as: Quantum machine learning, neural network implementation, and cloud and data analytics for effective analysis of industrial data Computer vision, emerging networking technologies, industrial data spaces, and an industry vision for 2030 in both developing and developed nations Novel or improved nature-inspired optimization algorithms in enhancing Industry 5.0 and the connectivity of any components for smart environment Future professions in agriculture, medicine, education, fitness, R&D, and transport and communication as a result of new technologies Aimed at researchers and students in the interdisciplinary fields of Smart Manufacturing and Smart Applications, Topics in Artificial Intelligence Applied to Industry 4.0 provides the perfect overview of technology from the perspective of modern society and operational environment.
Topics in Artificial Intelligence Applied to Industry 4.0
by Mahmoud Ragab AL-Refaey Amit Kumar Tyagi Abdullah Saad AL-Malaise Swetta KukrejaTopics in Artificial Intelligence Applied to Industry 4.0 Forward thinking resource discussing emerging AI and IoT technologies and how they are applied to Industry 4.0 Topics in Artificial Intelligence Applied to Industry 4.0 discusses the design principles, technologies, and applications of emerging AI and IoT solutions on Industry 4.0, explaining how to make improvements in infrastructure through emerging technologies. Providing a clear connection with different technologies such as IoT, Big Data, AR and VR, and Blockchain, this book presents security, privacy, trust, and other issues whilst delving into real-world problems and case studies. The text takes a highly practical approach, with a clear insight on how readers can increase productivity by drastically shortening the time period between the development of a new product and its delivery to customers in the market by 50%. This book also discusses how to save energy across systems to ensure competitiveness in a global market, and become more responsive in how they produce products and services for their consumers, such as by investing in flexible production lines. Written by highly qualified authors, Topics in Artificial Intelligence Applied to Industry 4.0 explores sample topics such as: Quantum machine learning, neural network implementation, and cloud and data analytics for effective analysis of industrial data Computer vision, emerging networking technologies, industrial data spaces, and an industry vision for 2030 in both developing and developed nations Novel or improved nature-inspired optimization algorithms in enhancing Industry 5.0 and the connectivity of any components for smart environment Future professions in agriculture, medicine, education, fitness, R&D, and transport and communication as a result of new technologies Aimed at researchers and students in the interdisciplinary fields of Smart Manufacturing and Smart Applications, Topics in Artificial Intelligence Applied to Industry 4.0 provides the perfect overview of technology from the perspective of modern society and operational environment.
Toward Connected, Cooperative and Intelligent IoV: Frontier Technologies and Applications
by Kai Liu Penglin Dai Victor C.S. Lee Joseph Kee-Yin Ng Sang Hyuk SonThis book offers a comprehensive introduction to technological advances in Internet of Vehicles (IoV), including vehicular communications, vehicular system architectures, data dissemination algorithms, resource allocation schemes, and AI-enabled applications. It focuses on the state-of-the-art IoV with regard to three major directions, namely networking, cooperation, and intelligence, including advanced wireless communication technologies, algorithm theory, optimization mechanisms, and AI technologies. In addition, the book includes a number of case studies with system prototype implementation and hands-on experiments in IoV, making it suitable both as a technical reference work for professionals and as a textbook for graduate students.
Toward Good Simulation Practice: Best Practices for the Use of Computational Modelling and Simulation in the Regulatory Process of Biomedical Products (Synthesis Lectures on Biomedical Engineering)
by Marco Viceconti Luca EmiliThis open access book, the Community of Practice led by the VPH Institute, the Avicenna Alliance, and the In Silico World consortium has brought together 138 experts in In Silico Trials working in academia, the medical industry, regulatory bodies, hospitals, and consulting firms. Through a consensus process, these experts produced the first attempt to define some Good Simulation Practices on how to develop, evaluate, and use In Silico Trials. Good Simulation Practice constitutes an indispensable guide for anyone who is planning to engage at any title with In Silico Trials.
Towards a Hybrid, Flexible and Socially Engaged Higher Education: Proceedings of the 26th International Conference on Interactive Collaborative Learning (ICL2023), Volume 2 (Lecture Notes in Networks and Systems #900)
by Michael E. Auer Uriel R. Cukierman Eduardo Vendrell Vidal Edmundo Tovar CaroThis book contains papers in the fields of educational virtual environments, future of education, project-based learning (PBL), and digital education strategy and engineering pedagogy. The authors currently witnessing a significant transformation in the development of education on all levels and especially in post-secondary education. To face these challenges, higher education must find innovative and effective ways to respond in a proper way. The pandemic period left us with profound changes in the way we teach and learn, including the massive use of new means of communication, such as videoconferencing and other technological tools. Moreover, the current explosion of artificial intelligence tools, mainly used by students, is challenging teaching practices maintained for centuries. Scientifically based statements as well as excellent best practice examples are absolutely necessary. The 26th International Conference on Interactive Collaborative Learning (ICL2023), which took place in Madrid, Spain, between September 26 and 30, 2023, was the perfect place where current trends in higher education were presented and discussed. Since its beginning in 1998, this conference has been devoted to new approaches in learning with a focus on collaborative learning in higher education. Nowadays, the ICL conferences are a forum of the exchange of relevant trends and research results as well as the presentation of practical experiences in learning and engineering pedagogy. In this way, the authors try to bridge the gap between ‘pure’ scientific research and the everyday work of educators. Interested readership includes policy makers, academics, educators, researchers in pedagogy and learning theory, schoolteachers, learning industry, further and continuing education lecturers, etc.
Towards a Hybrid, Flexible and Socially Engaged Higher Education: Proceedings of the 26th International Conference on Interactive Collaborative Learning (ICL2023), Volume 1 (Lecture Notes in Networks and Systems #899)
by Michael E. Auer Uriel R. Cukierman Eduardo Vendrell Vidal Edmundo Tovar CaroThis book contains papers in the fields of collaborative learning, digital transition in education, and AI and learning analytics in engineering education. The authors are currently witnessing a significant transformation in the development of education on all levels and especially in post-secondary education. To face these challenges, higher education must find innovative and effective ways to respond in a proper way. The pandemic period left us with profound changes in the way we teach and learn, including the massive use of new means of communication, such as videoconferencing and other technological tools. Moreover, the current explosion of artificial intelligence tools, mainly used by students, is challenging teaching practices maintained for centuries. Scientifically based statements as well as excellent best practice examples are absolutely necessary. The 26th International Conference on Interactive Collaborative Learning (ICL2023), which took place in Madrid, Spain, between September 26 and 30, 2023, was the perfect place where current trends in higher education were presented and discussed. Since its beginning in 1998, this conference has been devoted to new approaches in learning with a focus on collaborative learning in higher education. Nowadays, the ICL conferences are a forum of the exchange of relevant trends and research results as well as the presentation of practical experiences in learning and engineering pedagogy. In this way, the authors try to bridge the gap between ‘pure’ scientific research and the everyday work of educators. Interested readership includes policy makers, academics, educators, researchers in pedagogy and learning theory, schoolteachers, learning industry, further and continuing education lecturers, etc.
Towards a Hybrid, Flexible and Socially Engaged Higher Education: Proceedings of the 26th International Conference on Interactive Collaborative Learning (ICL2023), Volume 3 (Lecture Notes in Networks and Systems #901)
by Michael E. Auer Uriel R. Cukierman Eduardo Vendrell Vidal Edmundo Tovar CaroThis book contains papers in the fields of engineering pedagogy education, research in engineering pedagogy, and games in engineering education. The authors are currently witnessing a significant transformation in the development of education on all levels and especially in post-secondary education. To face these challenges, higher education must find innovative and effective ways to respond in a proper way. The pandemic period left us with profound changes in the way we teach and learn, including the massive use of new means of communication, such as videoconferencing and other technological tools. Moreover, the current explosion of artificial intelligence tools, mainly used by students, is challenging teaching practices maintained for centuries. Scientifically based statements as well as excellent best practice examples are absolutely necessary. The 26th International Conference on Interactive Collaborative Learning (ICL2023), which took place in Madrid, Spain, between September 26 and 30, 2023, was the perfect place where current trends in higher education were presented and discussed. Since its beginning in 1998, this conference has been devoted to new approaches in learning with a focus on collaborative learning in higher education. Nowadays, the ICL conferences are a forum of the exchange of relevant trends and research results as well as the presentation of practical experiences in learning and engineering pedagogy. In this way, the authors try to bridge the gap between ‘pure’ scientific research and the everyday work of educators. Interested readership includes policy makers, academics, educators, researchers in pedagogy and learning theory, schoolteachers, learning industry, further and continuing education lecturers, etc.
Towards Digitally Transforming Accounting and Business Processes: Proceedings of the International Conference of Accounting and Business iCAB, Johannesburg 2023 (Springer Proceedings in Business and Economics)
by Tankiso Moloi Babu GeorgeThis conference volume discusses the findings of the iCAB 2023 conference that took place in Johannesburg, South Africa. The University of Johannesburg (UJ School of Accounting and Johannesburg Business School) in collaboration with Alcorn State University (USA), Salem State University (USA) and Universiti Teknologi Mara (Malaysia) hosted the iCAB 2023 conference with the aim to bring together researchers from different Accounting and Business Management fields to share ideas and discuss how new disruptive technological developments are impacting the field of accounting. The conference was sponsored by the Association of International Certified Professional Accountants AICPA & CIMA.
Towards Heterogeneous Multi-core Systems-on-Chip for Edge Machine Learning: Journey from Single-core Acceleration to Multi-core Heterogeneous Systems
by Vikram Jain Marian VerhelstThis book explores and motivates the need for building homogeneous and heterogeneous multi-core systems for machine learning to enable flexibility and energy-efficiency. Coverage focuses on a key aspect of the challenges of (extreme-)edge-computing, i.e., design of energy-efficient and flexible hardware architectures, and hardware-software co-optimization strategies to enable early design space exploration of hardware architectures. The authors investigate possible design solutions for building single-core specialized hardware accelerators for machine learning and motivates the need for building homogeneous and heterogeneous multi-core systems to enable flexibility and energy-efficiency. The advantages of scaling to heterogeneous multi-core systems are shown through the implementation of multiple test chips and architectural optimizations.
Towards Wireless Heterogeneity in 6G Networks
The connected world paradigm effectuated through the proliferation of mobile devices, Internet of Things (IoT), and the metaverse will offer novel services in the coming years that need anytime, anywhere, high-speed access. The success of this paradigm will highly depend on the ability of the devices to always obtain the optimal network connectivity for an application and on the seamless mobility of the devices. This book will discuss 6G concepts and architectures to support next-generation applications such as IoT, multiband devices, and high-speed mobile applications. IoT applications put forth significant challenges on the network in terms of spectrum utilization, latency, energy efficiency, large number of users, and supporting different application characteristics in terms of reliability, data rate, and latency.While the 5G network developmentwas motivated by the need for larger bandwidth and higher quality of service (QoS), 6G considerations are supporting many users with a wide application requirement, lowering network operating cost, and enhanced network flexibility. Network generations beyond 5G are expected to accommodate massive number of devices with the proliferation of connected devices concept in connected cars, industrial automation, medical devices, and consumer devices.This book will address the fundamental design consideration for 6G networks and beyond. There are many technical challenges that need to be explored in the next generation of networks, such as increased spectrum utilization, lower latency, higher data rates, accommodating more users, heterogeneous wireless connectivity, distributed algorithms, and device-centric connectivity due to diversified mobile environments and IoT application characteristics. Since 6G is a multidisciplinary topic, this book will primarily focus on aspects of device characteristics, wireless heterogeneity, traffic engineering, device-centric connectivity, and smartness of application.
Towards Wireless Heterogeneity in 6G Networks
by Abraham George G. Ramana MurthyThe connected world paradigm effectuated through the proliferation of mobile devices, Internet of Things (IoT), and the metaverse will offer novel services in the coming years that need anytime, anywhere, high-speed access. The success of this paradigm will highly depend on the ability of the devices to always obtain the optimal network connectivity for an application and on the seamless mobility of the devices. This book will discuss 6G concepts and architectures to support next-generation applications such as IoT, multiband devices, and high-speed mobile applications. IoT applications put forth significant challenges on the network in terms of spectrum utilization, latency, energy efficiency, large number of users, and supporting different application characteristics in terms of reliability, data rate, and latency.While the 5G network developmentwas motivated by the need for larger bandwidth and higher quality of service (QoS), 6G considerations are supporting many users with a wide application requirement, lowering network operating cost, and enhanced network flexibility. Network generations beyond 5G are expected to accommodate massive number of devices with the proliferation of connected devices concept in connected cars, industrial automation, medical devices, and consumer devices.This book will address the fundamental design consideration for 6G networks and beyond. There are many technical challenges that need to be explored in the next generation of networks, such as increased spectrum utilization, lower latency, higher data rates, accommodating more users, heterogeneous wireless connectivity, distributed algorithms, and device-centric connectivity due to diversified mobile environments and IoT application characteristics. Since 6G is a multidisciplinary topic, this book will primarily focus on aspects of device characteristics, wireless heterogeneity, traffic engineering, device-centric connectivity, and smartness of application.
Transactions on Intelligent Welding Manufacturing: Volume V No. 2 2021 (Transactions on Intelligent Welding Manufacturing)
by Shanben Chen Yuming Zhang Zhili FengThe primary aim of this volume is to provide researchers and engineers from both academic and industry with up-to-date coverage of new results in the field of robotic welding, intelligent systems and automation. The book is mainly based on papers selected from the 2022 International Conference on Robotic Welding, Intelligence and Automation (RWIA’2022) in Shanghai and Lanzhou, China. The articles show that the intelligentized welding manufacturing (IWM) is becoming an inevitable trend with the intelligentized robotic welding as the key technology. The volume is divided into four logical parts: Intelligent Techniques for Robotic Welding, Sensing of Arc Welding Processing, Modeling and Intelligent Control of Welding Processing, as well as Intelligent Control and its Applications in Engineering.
Transactions on Intelligent Welding Manufacturing: Volume V No. 1 2021 (Transactions on Intelligent Welding Manufacturing)
by Shanben Chen Yuming Zhang Zhili FengThe primary aim of this book is to provide researchers and engineers from both academic and industry with up-to-date coverage of new results in the field of robotic welding, intelligent systems and automation. The book is mainly based on papers selected from the 2022 International Conference on Robotic Welding, Intelligence and Automation (RWIA’2022) in Shanghai and Lanzhou, China. The articles show that the intelligentized welding manufacturing (IWM) is becoming an inevitable trend with the intelligentized robotic welding as the key technology. The volume is divided into four logical parts: Intelligent Techniques for Robotic Welding, Sensing of Arc Welding Processing, Modeling and Intelligent Control of Welding Processing, as well as Intelligent Control and its Applications in Engineering.
Transactions on Petri Nets and Other Models of Concurrency XVII (Lecture Notes in Computer Science #14150)
by Maciej Koutny Robin Bergenthum Gianfranco CiardoTransactions on Petri Nets and Other Models of Concurrency (ToPNoC) XVII. These Transactions publish archival papers in the broad area of Petri nets and other models of concurrency, ranging from theoretical work to tool support and industrial applications. ToPNoC issues are published as LNCS volumes, and hence are widely distributed and indexed. This Journal has its own Editorial Board which selects papers based on a rigorous two-stage refereeing process. ToPNoC contains: – Revised versions of a selection of the best papers from workshops and tutorials at the annual Petri net conferences – Special sections/issues within particular subareas (similar to those published in the Advances in Petri Nets series) – Other papers invited for publication in ToPNoC – Papers submitted directly to ToPNoC by their authors The 17th volume of ToPNoC contains revised and extended versions of a selection of the best workshop and tutorial papers presented at the 43rd International Conference on Application and Theory of Petri Nets and Concurrency, Petri Nets 2022. The papers cover a diverse range of topics including model checking and system verification, refinement and synthesis, foundational work on specific classes of Petri nets, and innovative applications of Petri nets and other models of concurrency. Application areas covered in this volume are: process mining, verification, formal semantics, distributed simulations, business processes, distributed systems, and net synthesis. Thus, this volume gives a good overview of ongoing research on concurrent systems and Petri nets.
Transcending Imagination: Artificial Intelligence and the Future of Creativity (Chapman & Hall/CRC Artificial Intelligence and Robotics Series)
by Alexander ManuImagine a world where the boundaries of creativity are not only stretched but redefined. This book serves as your guide to this new frontier, engaging general readers, tech enthusiasts, and creatives alike in the captivating interplay between human ingenuity and artificial intelligence (AI).Journey through the ground-breaking advancements in AI as they intersect with art, design, entertainment, and education. Discover how AI’s power to analyze and understand language can be harnessed to generate breathtaking visuals from mere text descriptions—a process known as text-conditional image generation. But this book goes beyond just showcasing AI’s capabilities: it delves into its transformative effects on the creative process itself. How will artists and designers adapt to a world where they co-create with machines? What are the implications of AI-generated art in educational settings? This book tackles these questions head on, offering a comprehensive view of the changing landscape of creativity.At its core, this book challenges you to rethink what’s possible in the realm of artistic expression. Manu contends that as AI evolves, mastering the art of collaboration between human and machine will become essential. More than just a look into the future, Transcending Imagination: Artificial Intelligence and the Future of Creativity is a roadmap for artists, designers, and educators eager to navigate the uncharted territory of AI-augmented creativity. It is a must-read for anyone interested in how AI might redefine the realms of art, design, and education.
Transcending Imagination: Artificial Intelligence and the Future of Creativity (Chapman & Hall/CRC Artificial Intelligence and Robotics Series)
by Alexander ManuImagine a world where the boundaries of creativity are not only stretched but redefined. This book serves as your guide to this new frontier, engaging general readers, tech enthusiasts, and creatives alike in the captivating interplay between human ingenuity and artificial intelligence (AI).Journey through the ground-breaking advancements in AI as they intersect with art, design, entertainment, and education. Discover how AI’s power to analyze and understand language can be harnessed to generate breathtaking visuals from mere text descriptions—a process known as text-conditional image generation. But this book goes beyond just showcasing AI’s capabilities: it delves into its transformative effects on the creative process itself. How will artists and designers adapt to a world where they co-create with machines? What are the implications of AI-generated art in educational settings? This book tackles these questions head on, offering a comprehensive view of the changing landscape of creativity.At its core, this book challenges you to rethink what’s possible in the realm of artistic expression. Manu contends that as AI evolves, mastering the art of collaboration between human and machine will become essential. More than just a look into the future, Transcending Imagination: Artificial Intelligence and the Future of Creativity is a roadmap for artists, designers, and educators eager to navigate the uncharted territory of AI-augmented creativity. It is a must-read for anyone interested in how AI might redefine the realms of art, design, and education.
Transfer, Diffusion and Adoption of Next-Generation Digital Technologies: IFIP WG 8.6 International Working Conference on Transfer and Diffusion of IT, TDIT 2023, Nagpur, India, December 15–16, 2023, Proceedings, Part I (IFIP Advances in Information and Communication Technology #697)
by Sujeet K. Sharma Yogesh K. Dwivedi Bhimaraya Metri Banita Lal Amany ElbannaThis book constitutes the refereed proceedings of the IFIP WG 8.6 International Working Conference on Transfer and Diffusion of IT, TDIT 2023, which took place in Nagpur, India, in December 2023. The 87 full papers and 23 short papers presented in these proceedings were carefully reviewed and selected from 209 submissions. The papers are organized in the following topical sections:Volume I:Digital technologies (artificial intelligence) adoption; digital platforms and applications; digital technologies in e-governance; metaverse and marketing.Volume II:Emerging technologies adoption; general IT adoption; healthcare IT adoption.Volume III:Industry 4.0; transfer, diffusion and adoption of next-generation digital technologies; diffusion and adoption of information technology.
Transfer, Diffusion and Adoption of Next-Generation Digital Technologies: IFIP WG 8.6 International Working Conference on Transfer and Diffusion of IT, TDIT 2023, Nagpur, India, December 15–16, 2023, Proceedings, Part III (IFIP Advances in Information and Communication Technology #699)
by Sujeet K. Sharma Yogesh K. Dwivedi Bhimaraya Metri Banita Lal Amany ElbannaThis book constitutes the refereed proceedings of the IFIP WG 8.6 International Working Conference on Transfer and Diffusion of IT, TDIT 2023, which took place in Nagpur, India, in December 2023. The 87 full papers and 23 short papers presented in these proceedings were carefully reviewed and selected from 209 submissions. The papers are organized in the following topical sections: Volume I: Digital technologies (artificial intelligence) adoption; digital platforms and applications; digital technologies in e-governance; metaverse and marketing. Volume II: Emerging technologies adoption; general IT adoption; healthcare IT adoption. Volume III: Industry 4.0; transfer, diffusion and adoption of next-generation digital technologies; diffusion and adoption of information technology.
Transfer, Diffusion and Adoption of Next-Generation Digital Technologies: IFIP WG 8.6 International Working Conference on Transfer and Diffusion of IT, TDIT 2023, Nagpur, India, December 15–16, 2023, Proceedings, Part II (IFIP Advances in Information and Communication Technology #698)
by Sujeet K. Sharma Yogesh K. Dwivedi Bhimaraya Metri Banita Lal Amany ElbannaThis book constitutes the refereed proceedings of the IFIP WG 8.6 International Working Conference on Transfer and Diffusion of IT, TDIT 2023, which took place in Nagpur, India, in December 2023. The 87 full papers and 23 short papers presented in these proceedings were carefully reviewed and selected from 209 submissions. The papers are organized in the following topical sections: Volume I: Digital technologies (artificial intelligence) adoption; digital platforms and applications; digital technologies in e-governance; metaverse and marketing. Volume II: Emerging technologies adoption; general IT adoption; healthcare IT adoption. Volume III: Industry 4.0; transfer, diffusion and adoption of next-generation digital technologies; diffusion and adoption of information technology.
Transformative AI: Responsible, Transparent, and Trustworthy AI systems (River Publishers Series in Computing and Information Science and Technology)
by Ahmed BanafaTransformative Artificial Intelligence provides a comprehensive overview of the latest trends, challenges, applications, and opportunities in the field of Artificial Intelligence. The book covers the state of the art in AI research, including machine learning, natural language processing, computer vision, and robotics, and explores how these technologies are transforming various industries and domains, such as healthcare, finance, education, and entertainment.The book also addresses the challenges that come with the widespread adoption of AI, including ethical concerns, bias, and the impact on jobs and society. It provides insights into how to mitigate these challenges and how to design AI systems that are responsible, transparent, and trustworthy.The book offers a forward-looking perspective on the future of AI, exploring the emerging trends and applications that are likely to shape the next decade of AI innovation. It also provides practical guidance for businesses and individuals on how to leverage the power of AI to create new products, services, and opportunities.Overall, the book is an essential read for anyone who wants to stay ahead of the curve in the rapidly evolving field of Artificial Intelligence and understand the impact that this transformative technology will have on our lives in the coming years.
Transformative AI: Responsible, Transparent, and Trustworthy AI systems (River Publishers Series in Computing and Information Science and Technology)
by Ahmed BanafaTransformative Artificial Intelligence provides a comprehensive overview of the latest trends, challenges, applications, and opportunities in the field of Artificial Intelligence. The book covers the state of the art in AI research, including machine learning, natural language processing, computer vision, and robotics, and explores how these technologies are transforming various industries and domains, such as healthcare, finance, education, and entertainment.The book also addresses the challenges that come with the widespread adoption of AI, including ethical concerns, bias, and the impact on jobs and society. It provides insights into how to mitigate these challenges and how to design AI systems that are responsible, transparent, and trustworthy.The book offers a forward-looking perspective on the future of AI, exploring the emerging trends and applications that are likely to shape the next decade of AI innovation. It also provides practical guidance for businesses and individuals on how to leverage the power of AI to create new products, services, and opportunities.Overall, the book is an essential read for anyone who wants to stay ahead of the curve in the rapidly evolving field of Artificial Intelligence and understand the impact that this transformative technology will have on our lives in the coming years.
Transformative Digital Technology for Disruptive Teaching and Learning
Generation Z students are avid gamers and are always on social media. Smart like their phones, they must be educated in a smart manner, which involves the use of digital tools. Transformative Digital Technology for Disruptive Teaching and Learning provides smart education solutions and details ways in which Gen Z learners can be educated. It covers such digital learning strategies as blended learning, flipped learning, mobile learning, and gamification. It examines creative teaching–learning strategies to encourage modern learners to learn more quickly. The book discusses ways to accelerate the capabilities of teaching and learning transactions. It also covers innovative teaching and learning processes to meet the challenges of digital learners.Starting with an overview of digital learning resources and processes as well as their advantages and disadvantages, the book then discusses such approaches and strategies as follows: Learner-oriented and learner-friendly approaches Blended learning Active learning Experiential learning Virtual learning Applications of Cloud Computing and Artificial Intelligence Gamification LMS challenges and techno-pedagogical issues for modern life As digital technology is disrupting teaching and learning, especially the skill development of students in the era of Industry 4.0 and 5.0, this is a timely book. It provides methods, approaches, strategies, and techniques for innovative learning and teaching. It discusses how to leverage new technology to enhance educators’ and learners’ abilities and performance. A comprehensive reference guide for educational researchers and technology developers, the book also helps educators embrace the digital transformation of teaching and learning.
Transformative Digital Technology for Disruptive Teaching and Learning
by P. Kaliraj G. Singaravelu T. DeviGeneration Z students are avid gamers and are always on social media. Smart like their phones, they must be educated in a smart manner, which involves the use of digital tools. Transformative Digital Technology for Disruptive Teaching and Learning provides smart education solutions and details ways in which Gen Z learners can be educated. It covers such digital learning strategies as blended learning, flipped learning, mobile learning, and gamification. It examines creative teaching–learning strategies to encourage modern learners to learn more quickly. The book discusses ways to accelerate the capabilities of teaching and learning transactions. It also covers innovative teaching and learning processes to meet the challenges of digital learners.Starting with an overview of digital learning resources and processes as well as their advantages and disadvantages, the book then discusses such approaches and strategies as follows: Learner-oriented and learner-friendly approaches Blended learning Active learning Experiential learning Virtual learning Applications of Cloud Computing and Artificial Intelligence Gamification LMS challenges and techno-pedagogical issues for modern life As digital technology is disrupting teaching and learning, especially the skill development of students in the era of Industry 4.0 and 5.0, this is a timely book. It provides methods, approaches, strategies, and techniques for innovative learning and teaching. It discusses how to leverage new technology to enhance educators’ and learners’ abilities and performance. A comprehensive reference guide for educational researchers and technology developers, the book also helps educators embrace the digital transformation of teaching and learning.
Transformers for Natural Language Processing and Computer Vision: Explore Generative AI and Large Language Models with Hugging Face, ChatGPT, GPT-4V, and DALL-E 3
by Denis RothmanUnleash the full potential of transformers with this comprehensive guide covering architecture, capabilities, risks, and practical implementations on OpenAI, Google Vertex AI, and Hugging Face Purchase of the print or Kindle book includes a free eBook in PDF formatKey FeaturesMaster NLP and vision transformers, from the architecture to fine-tuning and implementationLearn how to apply Retrieval Augmented Generation (RAG) with LLMs using customized texts and embeddingsMitigate LLM risks, such as hallucinations, using moderation models and knowledge basesBook DescriptionTransformers for Natural Language Processing and Computer Vision, Third Edition, explores Large Language Model (LLM) architectures, applications, and various platforms (Hugging Face, OpenAI, and Google Vertex AI) used for Natural Language Processing (NLP) and Computer Vision (CV). The book guides you through different transformer architectures to the latest Foundation Models and Generative AI. You’ll pretrain and fine-tune LLMs and work through different use cases, from summarization to implementing question-answering systems with embedding-based search techniques. You will also learn the risks of LLMs, from hallucinations and memorization to privacy, and how to mitigate such risks using moderation models with rule and knowledge bases. You’ll implement Retrieval Augmented Generation (RAG) with LLMs to improve the accuracy of your models and gain greater control over LLM outputs. Dive into generative vision transformers and multimodal model architectures and build applications, such as image and video-to-text classifiers. Go further by combining different models and platforms and learning about AI agent replication. This book provides you with an understanding of transformer architectures, pretraining, fine-tuning, LLM use cases, and best practices.What you will learnLearn how to pretrain and fine-tune LLMsLearn how to work with multiple platforms, such as Hugging Face, OpenAI, and Google Vertex AILearn about different tokenizers and the best practices for preprocessing language dataImplement Retrieval Augmented Generation and rules bases to mitigate hallucinationsVisualize transformer model activity for deeper insights using BertViz, LIME, and SHAPCreate and implement cross-platform chained models, such as HuggingGPTGo in-depth into vision transformers with CLIP, DALL-E 2, DALL-E 3, and GPT-4VWho this book is forThis book is ideal for NLP and CV engineers, software developers, data scientists, machine learning engineers, and technical leaders looking to advance their LLMs and generative AI skills or explore the latest trends in the field. Knowledge of Python and machine learning concepts is required to fully understand the use cases and code examples. However, with examples using LLM user interfaces, prompt engineering, and no-code model building, this book is great for anyone curious about the AI revolution.