Artificial Intelligence In Autonomous Language Learning
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Artificial Intelligence In Autonomous Language Learning
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Author : MAURICE. CLAYPOLE
language : en
Publisher: Linguabooks
Release Date : 2020-06-04
Artificial Intelligence In Autonomous Language Learning written by MAURICE. CLAYPOLE and has been published by Linguabooks this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-04 with categories.
Despite major advances in computer hardware generally and in software development techniques in areas such as engineering troubleshooting and gaming, computer assisted foreign language learning applications have not kept pace with the general trend. This is as true today as it was when the content of this book was first set out and in a sense we are still waiting for the envisaged breakthrough which will harness the power of artificial intelligence and object-oriented software development in order to create truly effective software solutions specifically designed for the independent language learner. The third edition of this book presents a snapshot in time outlining the scope of software solutions available for autonomous language learning at an early stage of their development and then goes on to examine the interface between the technology of expert systems and the latest applications in the fields of natural language processing, interactive gaming, online learning and virtual reality.
Artificial Intelligence Techniques In Language Learning
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Author : Rex William Last
language : en
Publisher:
Release Date : 1989
Artificial Intelligence Techniques In Language Learning written by Rex William Last and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989 with Artificial intelligence categories.
Artificial Intelligence In Second Language Learning
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Author : Marina Dodigovic
language : en
Publisher: Multilingual Matters
Release Date : 2005-10-07
Artificial Intelligence In Second Language Learning written by Marina Dodigovic and has been published by Multilingual Matters this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-10-07 with Language Arts & Disciplines categories.
This volume argues that adults can learn English as a second language if their typical errors are corrected systematically and in line with their preferred style of learning. The remedy designed for this purpose relies on artificial intelligence. The book describes original research which demonstrates the success of this approach.
Machine Learning Of Natural Language
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Author : David M.W. Powers
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Machine Learning Of Natural Language written by David M.W. Powers and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
We met because we both share the same views of language. Language is a living organism, produced by neural mechanisms relating in large numbers as a society. Language exists between minds, as a way of communicating between them, not as an autonomous process. The logical 'rules' seem to us an epiphe nomena ·of the neural mechanism, rather than an essential component in language. This view of language has been advocated by an increasing number of workers, as the view that language is simply a collection of logical rules has had less and less success. People like Yorick Wilks have been able to show in paper after paper that almost any rule which can be devised can be shown to have exceptions. The meaning does not lie in the rules. David Powers is a teacher of computer science. Christopher Turk, like many workers who have come into the field of AI (Artificial Intelligence) was originally trained in literature. He moved into linguistics, and then into computational linguistics. In 1983 he took a sabbatical in Roger Shank's AI project in the Computer Science Department at Yale University. Like an earlier visitor to the project, John Searle from California, Christopher Turk was increasingly uneasy at the view of language which was used at Yale.
Toward Learning Robots
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Author : Walter Van de Velde
language : en
Publisher: MIT Press
Release Date : 1993
Toward Learning Robots written by Walter Van de Velde and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Computers categories.
The contributions in Toward Learning Robots address the question of how a robot can be designed to acquire autonomously whatever it needs to realize adequate behavior in a complex environment. In-depth discussions of issues, techniques, and experiments in machine learning focus on improving ease of programming and enhancing robustness in unpredictable and changing environments, given limitations of time and resources available to researchers. The authors show practical progress toward a useful set of abstractions and techniques to describe and automate various aspects of learning in autonomous systems. The close interaction of such a system with the world reveals opportunities for new architectures and learning scenarios and for grounding symbolic representations, though such thorny problems as noise, choice of language, abstraction level of representation, and operationality have to be faced head-on. Contents Introduction: Toward Learning Robots * Learning Reliable Manipulation Strategies without Initial Physical Models * Learning by an Autonomous Agent in the Pushing Domain * A Cost-Sensitive Machine Learning Method for the Approach and Recognize Task * A Robot Exploration and Mapping Strategy Based on a Semantic Hierarchy of Spatial Representations * Understanding Object Motion: Recognition, Learning and Spatiotemporal Reasoning * Learning How to Plan * Robo-Soar: An Integration of External Interaction, Planning, and Learning Using Soar * Foundations of Learning in Autonomous Agents * Prior Knowledge and Autonomous Learning
Autonomous Learning From The Environment
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Author : Wei-Min Shen
language : en
Publisher: Computer Science Press, Incorporated
Release Date : 1994
Autonomous Learning From The Environment written by Wei-Min Shen and has been published by Computer Science Press, Incorporated this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Artificial intelligence categories.
A significant contribution to the scientific foundation of autonomous learning systems, this book contains clear, up-to-date coverage of three basic subtasks: active model abstraction, model application, and integration. It is the only textbook to offer a thorough discussion of active model abstraction.
Designing Autonomous Ai
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Author : Kence Anderson
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2022-06-14
Designing Autonomous Ai written by Kence Anderson and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-14 with Computers categories.
Early rules-based artificial intelligence demonstrated intriguing decision-making capabilities but lacked perception and didn't learn. AI today, primed with machine learning perception and deep reinforcement learning capabilities, can perform superhuman decision-making for specific tasks. This book shows you how to combine the practicality of early AI with deep learning capabilities and industrial control technologies to make robust decisions in the real world. Using concrete examples, minimal theory, and a proven architectural framework, author Kence Anderson demonstrates how to teach autonomous AI explicit skills and strategies. You'll learn when and how to use and combine various AI architecture design patterns, as well as how to design advanced AI without needing to manipulate neural networks or machine learning algorithms. Students, process operators, data scientists, machine learning algorithm experts, and engineers who own and manage industrial processes can use the methodology in this book to design autonomous AI. This book examines: Differences between and limitations of automated, autonomous, and human decision-making Unique advantages of autonomous AI for real-time decision-making, with use cases How to design an autonomous AI from modular components and document your designs
Artificial Intelligence Basics
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Author : Tom Taulli
language : en
Publisher: Apress
Release Date : 2019-08-01
Artificial Intelligence Basics written by Tom Taulli and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-01 with Computers categories.
Artificial intelligence touches nearly every part of your day. While you may initially assume that technology such as smart speakers and digital assistants are the extent of it, AI has in fact rapidly become a general-purpose technology, reverberating across industries including transportation, healthcare, financial services, and many more. In our modern era, an understanding of AI and its possibilities for your organization is essential for growth and success. Artificial Intelligence Basics has arrived to equip you with a fundamental, timely grasp of AI and its impact. Author Tom Taulli provides an engaging, non-technical introduction to important concepts such as machine learning, deep learning, natural language processing (NLP), robotics, and more. In addition to guiding you through real-world case studies and practical implementation steps, Taulli uses his expertise to expand on the bigger questions that surround AI. These include societal trends, ethics, and future impact AI will have on world governments, company structures, and daily life. Google, Amazon, Facebook, and similar tech giants are far from the only organizations on which artificial intelligence has had—and will continue to have—an incredibly significant result. AI is the present and the future of your business as well as your home life. Strengthening your prowess on the subject will prove invaluable to your preparation for the future of tech, and Artificial Intelligence Basics is the indispensable guide that you’ve been seeking. What You Will Learn Study the core principles for AI approaches such as machine learning, deep learning, and NLP (Natural Language Processing)Discover the best practices to successfully implement AI by examining case studies including Uber, Facebook, Waymo, UiPath, and Stitch FixUnderstand how AI capabilities for robots can improve businessDeploy chatbots and Robotic Processing Automation (RPA) to save costs and improve customer serviceAvoid costly gotchasRecognize ethical concerns and other risk factors of using artificial intelligenceExamine the secular trends and how they may impact your business Who This Book Is For Readers without a technical background, such as managers, looking to understand AI to evaluate solutions.
Autonomous Language Learning With Technology
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Author : Chun Lai
language : en
Publisher: Bloomsbury Publishing
Release Date : 2017-06-29
Autonomous Language Learning With Technology written by Chun Lai and has been published by Bloomsbury Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-06-29 with Language Arts & Disciplines categories.
This book looks beyond the classroom, and focuses on out-of-class autonomous use of technology for language learning, discussing the theoretical frameworks, key findings and critical issues. The proliferation of digital language learning resources and tools is forcing language education into an era of unprecedented change. The book will stimulate discussions on how to support language learners to construct quality autonomous technology-mediated out-of-class learning experience outside the classroom and raise greater awareness of and research interest in this field. Out-of-class learning constitutes an important context for human development, and active engagement in out-of-class activities is associated with successful language development. With convenient access to expanded resources, venues and learning spaces, today's learners are not as dependent on in-class learning as they used to be. Thus, a deeper understanding of the terrain of out-of-class learning is of increasing significance in the current educational era. Technology is part and parcel of out-of-class language learning, and has been a primary source that learners actively use to construct language learning experience beyond the classroom. Language learners of all ages around the world have been found to actively utilize technological resources to support their language learning beyond formal language learning contexts. Insights into learners' out-of-class autonomous use of technology for language learning are essential to our understanding of out-of-class learning and inform educators on how language learners could be better supported to maximize the educational potentials of technology to construct quality out-of-class learning experience.
Understanding Artificial Intelligence
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Author : Albert Chun-Chen Liu
language : en
Publisher: John Wiley & Sons
Release Date : 2022-09-21
Understanding Artificial Intelligence written by Albert Chun-Chen Liu 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 2022-09-21 with Computers categories.
Understanding Artificial Intelligence Provides students across majors with a clear and accessible overview of new artificial intelligence technologies and applications Artificial intelligence (AI) is broadly defined as computers programmed to simulate the cognitive functions of the human mind. In combination with the Neural Network (NN), Big Data (BD), and the Internet of Things (IoT), artificial intelligence has transformed everyday life: self-driving cars, delivery drones, digital assistants, facial recognition devices, autonomous vacuum cleaners, and mobile navigation apps all rely on AI to perform tasks. With the rise of artificial intelligence, the job market of the near future will be radically different???many jobs will disappear, yet new jobs and opportunities will emerge. Understanding Artificial Intelligence: Fundamentals and Applications covers the fundamental concepts and key technologies of AI while exploring its impact on the future of work. Requiring no previous background in artificial intelligence, this easy-to-understand textbook addresses AI challenges in healthcare, finance, retail, manufacturing, agriculture, government, and smart city development. Each chapter includes simple computer laboratories to teach students how to develop artificial intelligence applications and integrate software and hardware for robotic development. In addition, this text: Focuses on artificial intelligence applications in different industries and sectors Traces the history of neural networks and explains popular neural network architectures Covers AI technologies, such as Machine Vision (MV), Natural Language Processing (NLP), and Unmanned Aerial Vehicles (UAV) Describes various artificial intelligence computational platforms, including Google Tensor Processing Unit (TPU) and Kneron Neural Processing Unit (NPU) Highlights the development of new artificial intelligence hardware and architectures Understanding Artificial Intelligence: Fundamentals and Applications is an excellent textbook for undergraduates in business, humanities, the arts, science, healthcare, engineering, and many other disciplines. It is also an invaluable guide for working professionals wanting to learn about the ways AI is changing their particular field.