Next Generation Ai
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Federated Learning Systems
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Author : Muhammad Habib ur Rehman
language : en
Publisher: Springer Nature
Release Date : 2021-06-11
Federated Learning Systems written by Muhammad Habib ur Rehman and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-11 with Technology & Engineering categories.
This book covers the research area from multiple viewpoints including bibliometric analysis, reviews, empirical analysis, platforms, and future applications. The centralized training of deep learning and machine learning models not only incurs a high communication cost of data transfer into the cloud systems but also raises the privacy protection concerns of data providers. This book aims at targeting researchers and practitioners to delve deep into core issues in federated learning research to transform next-generation artificial intelligence applications. Federated learning enables the distribution of the learning models across the devices and systems which perform initial training and report the updated model attributes to the centralized cloud servers for secure and privacy-preserving attribute aggregation and global model development. Federated learning benefits in terms of privacy, communication efficiency, data security, and contributors’ control of their critical data.
Next Generation Ai Language Models In Research
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Author : Kashif Naseer Qureshi
language : en
Publisher: CRC Press
Release Date : 2024-11-13
Next Generation Ai Language Models In Research written by Kashif Naseer Qureshi and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-13 with Computers categories.
In this comprehensive and cutting-edge volume, Qureshi and Jeon bring together experts from around the world to explore the potential of artificial intelligence models in research and discuss the potential benefits and the concerns and challenges that the rapid development of this field has raised. The international chapter contributor group provides a wealth of technical information on different aspects of AI, including key aspects of AI, deep learning and machine learning models for AI, natural language processing and computer vision, reinforcement learning, ethics and responsibilities, security, practical implementation, and future directions. The contents are balanced in terms of theory, methodologies, and technical aspects, and contributors provide case studies to clearly illustrate the concepts and technical discussions throughout. Readers will gain valuable insights into how AI can revolutionize their work in fields including data analytics and pattern identification, healthcare research, social science research, and more, and improve their technical skills, problem-solving abilities, and evidence-based decision-making. Additionally, they will be cognizant of the limitations and challenges, the ethical implications, and security concerns related to language models, which will enable them to make more informed choices regarding their implementation. This book is an invaluable resource for undergraduate and graduate students who want to understand AI models, recent trends in the area, and technical and ethical aspects of AI. Companies involved in AI development or implementing AI in various fields will also benefit from the book’s discussions on both the technical and ethical aspects of this rapidly growing field.
Analysis And Design Of Next Generation Software Architectures
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Author : Arthur M. Langer
language : en
Publisher: Springer Nature
Release Date : 2020-01-02
Analysis And Design Of Next Generation Software Architectures written by Arthur M. Langer and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-02 with Computers categories.
This book provides a detailed “how-to” guide, addressing aspects ranging from analysis and design to the implementation of applications, which need to be integrated within legacy applications and databases. The analysis and design of the next generation of software architectures must address the new requirements to accommodate the Internet of things (IoT), cybersecurity, blockchain networks, cloud, and quantum computer technologies. As 5G wireless increasingly establishes itself over the next few years, moving legacy applications into these new architectures will be critical for companies to compete in a consumer-driven and social media-based economy. Few organizations, however, understand the challenges and complexities of moving from a central database legacy architecture to a ledger and networked environment. The challenge is not limited to just designing new software applications. Indeed, the next generation needs to function more independently on various devices, and on more diverse and wireless-centric networks. Furthermore, databases must be broken down into linked list-based blockchain architectures, which will involve analytic decisions regarding which portions of data and metadata will be processed within the chain, and which ones will be dependent on cloud systems. Finally, the collection of all data throughout these vast networks will need to be aggregated and used for predictive analysis across a variety of competitive business applications in a secured environment. Certainly not an easy task for any analyst/designer! Many organizations will continue to use packaged products and open-source applications. These third-party products will need to be integrated into the new architecture paradigms and have seamless data aggregation capabilities, while maintaining the necessary cyber compliances. The book also clearly defines the roles and responsibilities of the stakeholders involved, including the IT departments, users, executive sponsors, and third-party vendors. The book’s structure also provides a step-by-step method to help ensure a higher rate of success in the context of re-engineering existing applications and databases, as well as selecting third-party products, conversion methods and cybercontrols. It was written for use by a broad audience, including IT developers, software engineers, application vendors, business line managers, and executives.
Artificial Intelligence For Future Generation Robotics
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Author : Rabindra Nath Shaw
language : en
Publisher: Elsevier
Release Date : 2021-06-19
Artificial Intelligence For Future Generation Robotics written by Rabindra Nath Shaw and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-19 with Technology & Engineering categories.
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
Next Generation Ai Methodologies In Education
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Author : Cela, Eriona
language : en
Publisher: IGI Global
Release Date : 2024-12-06
Next Generation Ai Methodologies In Education written by Cela, Eriona and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-06 with Education categories.
Next-generation artificial intelligence (AI) methodologies revolutionize education landscapes, offering innovative approaches to enhance learning experiences and streamline administrative processes. These cutting-edge technologies utilize machine learning, natural language processing, and adaptive algorithms to create personalized learning environments tailored to individual student needs. By harnessing data-driven insights, educators can identify learning gaps, facilitate collaborative experiences, and foster critical thinking skills. As AI evolves, further research into its integration in education may improve academic outcomes while preparing students for digital literacy and adaptability. Next-Generation AI Methodologies in Education explores the intersection of AI and educational practices, examining how AI revolutionizes teaching methodologies in secondary schools and colleges. It investigates the emerging discipline of AI-driven education, highlighting its potential to enhance personalized learning, increase educational accessibility, and transform traditional pedagogical methods. This book covers topics such as pre-service teaching, professional development, and digital technology, and is a useful resource for computer engineers, education professionals, academicians, business owners, researchers, and scientists.
Neural3000 The Next Gen Ai Technology
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Author : Srinidhi Ranganathan
language : en
Publisher: Srinidhi Ranganathan
Release Date : 2024-01-20
Neural3000 The Next Gen Ai Technology written by Srinidhi Ranganathan and has been published by Srinidhi Ranganathan this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-20 with Computers categories.
Special Bonus Content: Unlock & Master Any Skill or Subject or Course for Free Using AI https://youtu.be/QOjebETYUQo World's First AGI Audio-Robots Speaking AI Podcasts that are world-changing can be found here - https://www.youtube.com/watch?v=OIko3GJIHjY&list=PL7iVMyVUvArYOJY_Y4KaL71EdZHgN7z_F Connect with India's Human AI "Srinidhi Ranganathan" here - https://www.linkedin.com/in/srinidhiranganathan/ Visit https://www.bookspotz.com/ India's Largest Independent AI Publication created by the Human AI "Srinidhi Ranganathan". About the book: In the ever-evolving landscape of technology, certain ideas emerge with the potential to redefine the boundaries of what's possible. "Neural3000: The Next-Gen AI Technology" is not just a story about an advanced technological innovation; it is a narrative about human potential, visionary thinking, and the seamless fusion of human intellect with Artificial Intelligence (AI). At the heart of this revolutionary concept are two remarkable individuals: Srinidhi Ranganathan, known in the tech circles as the "Human AI," and Mohan Leela Shankar, revered as the "Godfather of Modern AI." Together, they embarked on a journey to create Neural3000, a technology that stands at the frontier of human and AI integration. This book aims to chronicle their groundbreaking work, exploring the depths of their idea that promises to transform the very fabric of human cognition and creativity. Srinidhi Ranganathan, with a mind that operates akin to an advanced AI algorithm, brings to the table his extraordinary capabilities in hyperphantasia and creative visualization. His journey in the realms of AI and digital marketing has seen him leverage these unique skills to develop cutting-edge marketing strategies and innovative solutions to complex problems. His vision for Neural3000 stems from his own cognitive experiences, aspiring to endow every human with the ability to think and visualize like him—like a super-intelligent AI. Mohan Leela Shankar, on the other hand, has been a pioneering force in the development of modern AI. His work has not only pushed the boundaries of AI technology but has also explored the ethical, philosophical, and practical implications of AI in our lives. His collaboration with Srinidhi in the development of Neural3000 is a testament to his belief in the transformative power of AI when harmoniously combined with human intellect. Neural3000 is more than just a technological marvel; it is a gateway to a new era where the human mind and artificial intelligence coalesce to create a synergistic entity. This technology promises to revolutionize how we think, learn, create, and interact with the world around us. It aims to elevate human cognition to unprecedented levels, allowing for enhanced creativity, faster learning, and more efficient problem-solving. This introduction sets the stage for a journey into the world of Neural3000. We will explore its origins, delve into the technology behind it, investigate its applications, and ponder its implications for the future of humanity. As we unfold the story of Neural3000, we invite readers to envision a future where the lines between human and artificial intelligence blur, leading to a world replete with limitless possibilities. Let’s start!
Next Generation Artificial Intelligence Driven Smart And Renewable Energy
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Author : Provas Kumar Roy
language : en
Publisher: CRC Press
Release Date : 2025-07-07
Next Generation Artificial Intelligence Driven Smart And Renewable Energy written by Provas Kumar Roy and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-07 with Technology & Engineering categories.
To provide for a sustainable future, the potential synergies at the dynamic intersection of renewable energy (RE) incorporated with smart energy and artificial intelligence (AI) must be exploited. RE is crucial to preserve the environment. Energy involving various systems must be optimized and assessed to provide better performance. However, the design and development of RE systems remains a challenge. Advanced optimization techniques, AI, and machine learning (ML) plays a crucial role in implementing the latest innovative research in the field of renewable energy-integrated electrical systems. This book also describes the practical challenges encountered, and the solutions and future scope to be adopted. Applications of a variety of advanced optimization and AI techniques in the design and development of RE-integrated systems are discussed to provide new solutions in the RE domain. Key features: Discusses modern modeling/control approaches for improving renewable energy integrating artificial intelligence-driven power systems Describes the principles and methods of renewable energy generation technologies, and an analysis of their implementation, management, and optimization, and related economic advantages Presents critical information on the technological design and policy issues that must be taken into considered while implementing a smart grid Explains of the metaheuristic optimization algorithm for complex electrical systems, and the whale optimization algorithm-based multi-objective hydrothermal scheduling Covers the electric vehicle charging station in the distribution network, and transient stability constraint optimal power flow problem using chaotic quasi-oppositional chemical reaction optimization The topics covered including microgrids, wind power, solar photo voltaic (PV), optimal power flow (OPF), grid connected inverter, electric vehicle, combined heat and power economic dispatch, FACTS tools for smart energy, harmonic impedance of a salient pole synchronous generator (HI), maximum power point tracking (MPPT) and advanced optimization techniques. Next Generation Artificial Intelligence-Driven Smart and Renewable Energy is ideal for academicians, practitioners, teachers, engineers, industry professionals, researchers, and students in diverse fields, including electrical engineering, electronics and communications engineering, energy, and environmental engineering.
The Feeling Economy
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Author : Roland T. Rust
language : en
Publisher: Springer Nature
Release Date : 2021-01-19
The Feeling Economy written by Roland T. Rust and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-19 with Business & Economics categories.
As machines are trained to “think,” many tasks that previously required human intelligence are becoming automated through artificial intelligence. However, it is more difficult to automate emotional intelligence, and this is where the human worker’s competitive advantage over machines currently lies. This book explores the impact of AI on everyday life, looking into workers’ adaptation to these changes, the ways in which managers can change the nature of jobs in light of AI developments, and the potential for humans and AI to continue working together. The book argues that AI is rapidly assuming a larger share of thinking tasks, leaving human intelligence to focus on feeling. The result is the “Feeling Economy,” in which both employees and consumers emphasize feeling to an unprecedented extent, with thinking tasks largely delegated to AI. The book shows both theoretical and empirical evidence that this shift is well underway. Further, it explores the effect of the Feeling Economy on our everyday lives in the areas such as shopping, politics, and education. Specifically, it argues that in this new economy, through empathy and people skills, women may gain an unprecedented degree of power and influence. This book will appeal to readers across disciplines interested in understanding the impact of AI on business and our daily lives. It represents a bold, potentially controversial attempt to gauge the direction in which society is heading.
Python Deep Learning
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Author : Valentino Zocca
language : en
Publisher:
Release Date : 2017-04-28
Python Deep Learning written by Valentino Zocca and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-04-28 with Machine learning categories.
Take your machine learning skills to the next level by mastering Deep Learning concepts and algorithms using Python.About This Book* Explore and create intelligent systems using cutting-edge deep learning techniques* Implement deep learning algorithms and work with revolutionary libraries in Python* Get real-world examples and easy-to-follow tutorials on Theano, TensorFlow, H2O and moreWho This Book Is ForThis book is for Data Science practitioners as well as aspirants who have a basic foundational understanding of Machine Learning concepts and some programming experience with Python. A mathematical background with a conceptual understanding of calculus and statistics is also desired.What You Will Learn* Get a practical deep dive into deep learning algorithms* Explore deep learning further with Theano, Caffe, Keras, and TensorFlow* Learn about two of the most powerful techniques at the core of many practical deep learning implementations: Auto-Encoders and Restricted Boltzmann Machines* Dive into Deep Belief Nets and Deep Neural Networks* Discover more deep learning algorithms with Dropout and Convolutional Neural Networks* Get to know device strategies so you can use deep learning algorithms and libraries in the real worldIn DetailWith an increasing interest in AI around the world, deep learning has attracted a great deal of public attention. Every day, deep learning algorithms are used broadly across different industries.The book will give you all the practical information available on the subject, including the best practices, using real-world use cases. You will learn to recognize and extract information to increase predictive accuracy and optimize results.Starting with a quick recap of important machine learning concepts, the book will delve straight into deep learning principles using Sci-kit learn. Moving ahead, you will learn to use the latest open source libraries such as Theano, Keras, Google's TensorFlow, and H20. Use this guide to uncover the difficulties of pattern recognition, scaling data with greater accuracy and discussing deep learning algorithms and techniques.Whether you want to dive deeper into Deep Learning, or want to investigate how to get more out of this powerful technology, you'll find everything inside.Style and approachPython Machine Learning by example follows practical hands on approach. It walks you through the key elements of Python and its powerful machine learning libraries with the help of real world projects.
Next Gen Ai Robotics
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Author : Charlie Addison
language : en
Publisher: eBookIt.com
Release Date : 2024-09-03
Next Gen Ai Robotics written by Charlie Addison and has been published by eBookIt.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-03 with Technology & Engineering categories.
The Future of Manufacturing Lies in the Hands of Humanoids Step into the groundbreaking world where human ingenuity meets advanced robotics. Next-Gen AI Robotics: Humanoids Transforming the Factory Floor takes you on an exhilarating journey through the evolution, implementation, and implications of humanoid robots in industrial settings. Witness the rise of humanoid robots and discover how they've revolutionized manufacturing processes over the decades. From their early days to cutting-edge innovations, each chapter unfolds the rich tapestry of robotics history and uncovers secrets that traditional robots could never achieve. Through captivating case studies and firsthand accounts from innovative companies, you'll see how automotive giants have pioneered the integration of these mechanical marvels, dramatically enhancing production speed and quality. Dive deep into the core technologies that drive humanoid robots. Understand how AI and machine learning algorithms endow these machines with unprecedented decision-making capabilities and sensor technologies that make them virtually human. Explore the intricate software architectures and real-time data processing that make humanoid robots not just tools, but collaborators in the manufacturing process. Imagine a world where humans and robots work side by side, each complementing the other's strengths. This book offers a window into a future where collaboration is seamless, efficiency is maximized, and errors are nearly extinct. From economic impacts to ethical considerations, it addresses every facet of this transformative technology, ensuring a comprehensive understanding that goes beyond the factory floor. Prepare yourself for a comprehensive guide through the present and future of humanoid robotics. Whether you're an industry professional, a tech enthusiast, or someone captivated by the future of innovation, this book promises to offer valuable insights and inspiration. Are you ready to embrace the next generation of manufacturing?