Exploring Artificial Intelligence As A Field Of Study
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Exploring Artificial Intelligence
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Author : Howard E. Shrobe
language : en
Publisher: Morgan Kaufmann
Release Date : 2014-05-12
Exploring Artificial Intelligence written by Howard E. Shrobe and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-12 with Computers categories.
Exploring Artificial Intelligence: Survey Talks from the National Conference on Artificial Intelligence provides information pertinent to the distinct subareas of artificial intelligence research. This book discusses developments in machine learning techniques. Organized into six parts encompassing 16 chapters, this book begins with an overview of intelligent tutoring systems, which describes how to guide a student to learn new concepts. This text then links closely with one of the concerns of intelligent tutoring systems, namely how to interact through the utilization of natural language. Other chapters consider the various aspects of natural language understanding and survey the huge body of work that tries to characterize heuristic search programs. This book discusses as well how computer programs can create plans to satisfy goals. The final chapter deals with computational facilities that support. This book is a valuable resource for cognitive scientists, psychologists, domain experts, computer scientists, instructional designers, expert teachers, and research workers.
Intelligent Horizons
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Author : Ng Chin Siang
language : en
Publisher: NG CHIN SIANG
Release Date : 2024-03-24
Intelligent Horizons written by Ng Chin Siang and has been published by NG CHIN SIANG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-24 with Computers categories.
Intelligent Horizons: Exploring the Vast Applications of Artificial Intelligence unfolds the transformative journey of AI from its inception to its future potential, weaving through the myriad ways it's reshaping the fabric of society. This insightful tome delves into AI's profound impact across various sectors: healthcare, business, creative industries, environmental sustainability, and governance, revealing both its capabilities and the ethical considerations it entails. Chapter 1 sets the stage with a comprehensive overview of AI's evolution, grounding readers in the fundamental concepts that drive current innovations and applications. From historical milestones to the technologies underpinning AI, this chapter paints a picture of AI's journey from a fledgling science to a cornerstone of modern society. Chapter 2 explores AI's revolutionary role in healthcare, showcasing its contributions to diagnostics, personalized medicine, robotic surgery, and mental health. This section highlights AI's potential to save lives and optimize care, while also touching on the ethical dilemmas posed by such profound technological integration. In Chapter 3, the focus shifts to the business landscape, where AI is streamlining operations, enhancing customer experiences, and redefining marketing. The narrative examines the dual-edged sword of AI in the workplace: its capacity to create and displace jobs, urging a thoughtful approach to navigating the future of work. Chapter 4 ventures into the creative domains, where AI's involvement in art, music, literature, and entertainment challenges conventional notions of creativity and authorship. This chapter questions the boundaries between human and machine-generated art, offering a nuanced discussion on copyright and ethical considerations. Chapter 5 addresses the critical issue of environmental sustainability, illustrating how AI aids in climate modeling, conservation, smart city planning, and precision agriculture. Here, the book underscores the importance of leveraging AI to combat climate change and protect natural resources, advocating for responsible and ethical technology use. Chapter 6 examines AI's application in governance and public services, highlighting its potential to enhance policy analysis, public safety, and educational personalization. Yet, it also confronts the privacy concerns and ethical challenges inherent in deploying AI within the public sector. Finally, Chapter 7 looks forward to the emerging trends and technologies that will shape the future of AI applications. It calls for a balanced approach to innovation, emphasizing the need for ethical considerations, global collaboration, and societal preparedness in the face of AI's expanding influence. Intelligent Horizons is not just a book about artificial intelligence; it's a roadmap for navigating the complexities and possibilities of a future intertwined with AI. Through a blend of expert analysis, ethical discussion, and visionary outlook, it invites readers to engage with the pivotal issues at the heart of AI's expansion into every corner of human endeavor.
Teaching Ai
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Author : Michelle Zimmerman
language : en
Publisher: International Society for Technology in Education
Release Date : 2018-12-15
Teaching Ai written by Michelle Zimmerman and has been published by International Society for Technology in Education this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-15 with Education categories.
Get the tools, resources and insights you need to explore artificial intelligence in the classroom and explore what students need to know about living in a world with AI. For many, artificial intelligence, or AI, may seem like science fiction, or inherently overwhelming. The reality is that AI is already being applied in industry and, for many of us, in our daily lives as well. A better understanding of AI can help you make informed decisions in the classroom that will impact the future of your students. Drawing from a broad variety of expert voices from countries including Australia, Japan, and South Africa, as well as educators from around the world and underrepresented student voices, this book explores some of the ways AI can improve education. These include educating learners about AI, teaching them about living in a world where they will be surrounded by AI and helping educators understand how they can use AI to augment human ability. Each chapter offers activities and questions to help you deepen your understanding, try out new concepts and reflect on the information presented. Links to media artifacts from trusted sources will help make your learning experience more dynamic while also providing additional resources to use in your classroom. This book: • Offers a unique approach to the topic, with chapter opening scenes, case studies, and featured student voices. • Discusses a variety of ways to teach students about AI, through design thinking, project-based learning and STEM connections. • Includes lesson ideas, activities and tools for exploring AI with your students. • Includes references to films and other media you can use in class to start discussions on AI or inspire design thinking and STEM projects. In Teaching AI, you’ll learn what AI is, how it works and how to use it to better prepare students in a world with increased human-computer interaction.
Exploring Artificial Intelligence In The New Millennium
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Author : Gerhard Lakemeyer
language : en
Publisher: Morgan Kaufmann
Release Date : 2003
Exploring Artificial Intelligence In The New Millennium written by Gerhard Lakemeyer and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Computers categories.
This guide is a unique presentation of the spectrum of ongoing research in Artificial Intelligence. An ideal collection for personal reference or for use in introductory courses in AI and its subfields, "Exploring Artificial Intelligence in the New Millennium" is essential reading for anyone interested in the intellectual and technological challenges of AI.
Learn Ai With Python
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Author : Gaurav Leekha
language : en
Publisher: BPB Publications
Release Date : 2021-10-19
Learn Ai With Python written by Gaurav Leekha and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-19 with Computers categories.
Build AI applications using Python to intelligently interact with the world around you. KEY FEATURES ● Covers the practical aspects of Machine Learning and Deep Learning concepts with the help of this example-rich guide to Python. ● Includes graphical illustrations of Natural Language Processing and its implementation in NLTK. ● Covers deep learning models such as R-CNN and YOLO for object recognition and teaches how to build an image classifier using CNN. DESCRIPTION The book ‘Learn AI with Python’ is intended to provide you with a thorough understanding of artificial intelligence as well as the tools necessary to create your intelligent applications. This book introduces you to artificial intelligence and walks you through the process of establishing an AI environment on a variety of platforms. It dives into machine learning models and various predictive modeling techniques, including classification, regression, and clustering. Additionally, it provides hands-on experience with logic programming, ASR, neural networks, and natural language processing through real-world examples and fully functional Python implementation. Finally, the book deals with profound models of learning such as R-CNN and YOLO. Object detection in images is also explained in detail using Convolutional Neural Networks (CNNs), which are also explained. By the end of this book, you will have a firm grasp of machine learning and deep learning techniques, as well as a steered methodology for formulating and solving related problems. WHAT YOU WILL LEARN ● Learn to implement various machine learning and deep learning algorithms to achieve smart results. ● Understand how ML algorithms can be applied to real-life applications. ● Explore logic programming and learn how to use it practically to solve real-life problems. ● Learn to develop different types of artificial neural networks with Python. ● Understand reinforcement learning and how to build an environment and agents using Python. ● Work with NLTK and build an automatic speech recognition system. WHO THIS BOOK IS FOR This book is for anyone interested in learning about artificial intelligence and putting it into practice with Python. This book is also valuable for intermediate Machine Learning practitioners as a reference guide. Readers should be familiar with the fundamental understanding of Python programming and machine learning techniques. TABLE OF CONTENTS 1. Introduction to AI and Python 2. Machine Learning and Its Algorithms 3. Classification and Regression Using Supervised Learning 4. Clustering Using Unsupervised Learning 5. Solving Problems with Logic Programming 6. Natural Language Processing with Python 7. Implementing Speech Recognition with Python 8. Implementing Artificial Neural Network (ANN) with Python 9. Implementing Reinforcement Learning with Python 10. Implementing Deep Learning and Convolutional Neural Network
Advances In Artificial And Human Intelligence In The Modern Era
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Author : S. Suman Rajest
language : en
Publisher: Engineering Science Reference
Release Date : 2023
Advances In Artificial And Human Intelligence In The Modern Era written by S. Suman Rajest and has been published by Engineering Science Reference this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with Artificial intelligence categories.
"Offers a groundbreaking solution to address the existing challenges in the intersection of AI and human performance optimization"--
Artificial Intelligence In Industry 4 0
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Author : Alexiei Dingli
language : en
Publisher: Springer Nature
Release Date : 2021-02-27
Artificial Intelligence In Industry 4 0 written by Alexiei Dingli and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-27 with Technology & Engineering categories.
This book is intended to help management and other interested parties such as engineers, to understand the state of the art when it comes to the intersection between AI and Industry 4.0 and get them to realise the huge possibilities which can be unleashed by the intersection of these two fields. We have heard a lot about Industry 4.0, but most of the time, it focuses mainly on automation. In this book, the authors are going a step further by exploring advanced applications of Artificial Intelligence (AI) techniques, ranging from the use of deep learning algorithms in order to make predictions, up to an implementation of a full-blown Digital Triplet system. The scope of the book is to showcase what is currently brewing in the labs with the hope of migrating these technologies towards the factory floors. Chairpersons and CEOs must read these papers if they want to stay at the forefront of the game, ahead of their competition, while also saving huge sums of money in the process.
Exploring Future Opportunities Of Brain Inspired Artificial Intelligence
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Author : Bhatia, Madhulika
language : en
Publisher: IGI Global
Release Date : 2023-03-20
Exploring Future Opportunities Of Brain Inspired Artificial Intelligence written by Bhatia, Madhulika and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-20 with Computers categories.
Applying mechanisms and principles of human intelligence and converging the brain and artificial intelligence (AI) is currently a research trend. The applications of AI in brain simulation are countless. Brain-inspired intelligent systems will improve next-generation information processing by applying theories, techniques, and applications inspired by the information processing principles from the brain. Exploring Future Opportunities of Brain-Inspired Artificial Intelligence focuses on the convergence of AI with brain-inspired intelligence. It presents research on brain-inspired cognitive machines with vision, audition, language processing, and thinking capabilities. Covering topics such as data analysis tools, knowledge representation, and super-resolution, this premier reference source is an essential resource for engineers, developers, computer scientists, students and educators of higher education, librarians, researchers, and academicians.
Artificial Intelligence In Medical Virology
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Author : Jyotir Moy Chatterjee
language : en
Publisher: Springer Nature
Release Date : 2023-04-21
Artificial Intelligence In Medical Virology written by Jyotir Moy Chatterjee and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-21 with Medical categories.
This book comprehensively reviews the potential of Artificial Intelligence (AI) in biomedical research and healthcare, with a major emphasis on virology. The initial chapter presents the applications of machine learning methods for structured data, such as the classical support vector machine and neural network, modern deep learning, and natural language processing for unstructured data in biomedical research and healthcare. The subsequent chapters explore the applications of AI in tackling COVID-19, analysis of the pandemic, viral infection, disease spread, and control. The book further identifies the potential applications of machine learning in the field of virology with a focus on the key aspects of infection: diagnosis, transmission, response to treatment, and resistance. The book also discusses progress and challenges in developing viral vaccines and examines the application of viruses in translational research and human healthcare. Furthermore, the book covers the applications of artificial intelligence-mediated diagnosis and the development of drugs to treat the disease. Towards the end, the book summarizes the ethical and legal challenges posed by AI in healthcare and biomedical research. This book is an invaluable source for researchers, medical and industry practitioners, academicians, and students exploring the applications of AI in biomedical research and healthcare.
Artificial Intelligence In Practice
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Author : Bernard Marr
language : en
Publisher: John Wiley & Sons
Release Date : 2019-05-28
Artificial Intelligence In Practice written by Bernard Marr and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-28 with Business & Economics categories.
Cyber-solutions to real-world business problems Artificial Intelligence in Practice is a fascinating look into how companies use AI and machine learning to solve problems. Presenting 50 case studies of actual situations, this book demonstrates practical applications to issues faced by businesses around the globe. The rapidly evolving field of artificial intelligence has expanded beyond research labs and computer science departments and made its way into the mainstream business environment. Artificial intelligence and machine learning are cited as the most important modern business trends to drive success. It is used in areas ranging from banking and finance to social media and marketing. This technology continues to provide innovative solutions to businesses of all sizes, sectors and industries. This engaging and topical book explores a wide range of cases illustrating how businesses use AI to boost performance, drive efficiency, analyse market preferences and many others. Best-selling author and renowned AI expert Bernard Marr reveals how machine learning technology is transforming the way companies conduct business. This detailed examination provides an overview of each company, describes the specific problem and explains how AI facilitates resolution. Each case study provides a comprehensive overview, including some technical details as well as key learning summaries: Understand how specific business problems are addressed by innovative machine learning methods Explore how current artificial intelligence applications improve performance and increase efficiency in various situations Expand your knowledge of recent AI advancements in technology Gain insight on the future of AI and its increasing role in business and industry Artificial Intelligence in Practice: How 50 Successful Companies Used Artificial Intelligence to Solve Problems is an insightful and informative exploration of the transformative power of technology in 21st century commerce.