Artificial intelligence is a word that carries with it heavy connotations. Although artificial intelligence is nothing more than the capacity for logic and understanding that machines can exhibit, in the minds of most people artificial intelligence is almost a Pandora's box that, when opened, will eventually signal the human race's doom..
The idea that machines pose an existential threat to human beings has been around for at least 60 years. It goes something like this: intelligent machines eventually realize the uselessness of human beings and turn against their creators. Or this: intelligent machines reduce human to cattle or even food after a dramatic war that human beings lose.
Human beings have created countless languages and writing systems that have allowed us to expand collective human knowledge over a period of thousands of years. Much of the knowledge that we utilized today, knowledge about the math, science, and the stars, originates from observations made thousands of years ago but which were recorded by writing systems, allowing this knowledge to be preserved and passed down.
Artificial intelligence has been used for many business, financial, medical, and other applications, and scientists and researchers are actively studying how these applications can be expanded to make human life simpler.
The applications of AI will be explored in this book, both the real applications to business, finance, medicine, and health and the theoretical applications. Even the sensational, perhaps exaggerated applications of AI will be explored in the context of taking a look at how AI may potentially be applied in the future. The purpose of this discussion is for the reader to understand what AI is by understanding how it is used.
Artificial intelligence is certainly a blessing at this point, but the reality that it may become a curse is not lost on some people. Understanding the full implications of AI requires a deep knowledge of what it is and where it came from.
For companies and businesses to take advantage of AI-powered and improved interactions, the conversation has to begin inside the organization. Leaders are supposed to start with the available channels and improve their smartness. From that point, they are supposed to ask key questions about engagements with customers and employees.
Here is a preview of what you will learn...
Brief history of artificial intelligence
The state of art of machine learning
Artificial neural networks applied to machine learning
How can we build an AI ready culture
Our daily lives with AI
And More.....
Автор: Yechen Qin, Hong Wang, Yanjun Huang, Xiaolin Tang Название: Real-Time Road Profile Identification and Monitoring: Theory and Application ISBN: 1681734834 ISBN-13(EAN): 9781681734835 Издательство: Mare Nostrum (Eurospan) Цена: 82230.00 T Наличие на складе: Невозможна поставка. Описание: Ever stringent vehicle safety legislation and consumer expectations inspire the improvement of vehicle dynamic performance, which result in a rising number of control strategies for vehicle dynamics that rely on driving conditions. Road profiles, as the primary excitation source of vehicle systems, play a critical role in vehicle dynamics and also in public transportation. Knowledge of precise road conditions can thus be of great assistance for vehicle companies and government departments to develop proper dynamic control algorithms, and to fix roads in a timely manner and at the minimum cost, respectively. As a result, developing easy-to-use and accurate road estimation methods are of great importance in terms of reducing the cost related to vehicles and road maintenance as well as improving passenger comfort and handling capacity. A few books have already been published on road profile modeling and the influence of road unevenness on vehicle response. However, there is still room to discuss road assessment methods based on vehicle response and how road conditions can be used to improve vehicle dynamics. In this book, we use several generalized vehicle models to demonstrate the concepts, methods, and applications of vehicle response-based road estimation algorithms. In addition, necessary tools, algorithms, and methods are illustrated, and the benefits of the road estimation algorithms are evaluated. Furthermore, several case studies of controllable suspension systems to improve vehicle vertical dynamics are presented.
Автор: Yechen Qin, Hong Wang, Yanjun Huang, Xiaolin Tang Название: Real-Time Road Profile Identification and Monitoring: Theory and Application ISBN: 1681734818 ISBN-13(EAN): 9781681734811 Издательство: Mare Nostrum (Eurospan) Цена: 61910.00 T Наличие на складе: Невозможна поставка. Описание: Ever stringent vehicle safety legislation and consumer expectations inspire the improvement of vehicle dynamic performance, which result in a rising number of control strategies for vehicle dynamics that rely on driving conditions. Road profiles, as the primary excitation source of vehicle systems, play a critical role in vehicle dynamics and also in public transportation. Knowledge of precise road conditions can thus be of great assistance for vehicle companies and government departments to develop proper dynamic control algorithms, and to fix roads in a timely manner and at the minimum cost, respectively. As a result, developing easy-to-use and accurate road estimation methods are of great importance in terms of reducing the cost related to vehicles and road maintenance as well as improving passenger comfort and handling capacity. A few books have already been published on road profile modeling and the influence of road unevenness on vehicle response. However, there is still room to discuss road assessment methods based on vehicle response and how road conditions can be used to improve vehicle dynamics. In this book, we use several generalized vehicle models to demonstrate the concepts, methods, and applications of vehicle response-based road estimation algorithms. In addition, necessary tools, algorithms, and methods are illustrated, and the benefits of the road estimation algorithms are evaluated. Furthermore, several case studies of controllable suspension systems to improve vehicle vertical dynamics are presented.
Автор: Elena Simperl, Roberta Cuel, Martin Stein Название: Incentive-Centric Semantic Web Application Engineering ISBN: 1608459950 ISBN-13(EAN): 9781608459957 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 36030.00 T Наличие на складе: Невозможна поставка. Описание: There are aspects of semantic content authoring in which automatic techniques have proven to perform reliably, and the added value of human intelligence is often a question of cost and timing. The challenge that this book attempts to tackle is how these two approaches could be combined in order to improve the cost-performance ratio of creating, managing, and meaningfully using semantic content.
Автор: Hong Jiao, Robert W. Lissitz Название: Application of Artificial Intelligence to Assessment ISBN: 164113951X ISBN-13(EAN): 9781641139519 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 47130.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The general theme of this book is to present the applications of artificial intelligence (AI) in test development. In particular, this book includes research and successful examples of using AI technology in automated item generation, automated test assembly, automated scoring, and computerized adaptive testing.
Автор: Somogyi Zoltбn Название: The Application of Artificial Intelligence: Step-by-Step Guide from Beginner to Expert ISBN: 3030600343 ISBN-13(EAN): 9783030600341 Издательство: Springer Рейтинг: Цена: 74530.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents a unique, understandable view of machine learning using many practical examples and access to free professional software and open source code. The user-friendly software can immediately be used to apply everything you learn in the book without the need for programming. After an introduction to machine learning and artificial intelligence, the chapters in Part II present deeper explanations of machine learning algorithms, performance evaluation of machine learning models, and how to consider data in machine learning environments. In Part III the author explains automatic speech recognition, and in Part IV biometrics recognition, face- and speaker-recognition. By Part V the author can then explain machine learning by example, he offers cases from real-world applications, problems, and techniques, such as anomaly detection and root cause analyses, business process improvement, detecting and predicting diseases, recommendation AI, several engineering applications, predictive maintenance, automatically classifying datasets, dimensionality reduction, and image recognition. Finally, in Part VI he offers a detailed explanation of the AI-TOOLKIT, software he developed that allows the reader to test and study the examples in the book and the application of machine learning in professional environments. The author introduces core machine learning concepts and supports these with practical examples of their use, so professionals will appreciate his approach and use the book for self-study. It will also be useful as a supplementary resource for advanced undergraduate and graduate courses on machine learning and artificial intelligence.
Artificial intelligence is a word that carries with it heavy connotations. Although artificial intelligence is nothing more than the capacity for logic and understanding that machines can exhibit, in the minds of most people artificial intelligence is almost a Pandora's box that, when opened, will eventually signal the human race's doom..
The idea that machines pose an existential threat to human beings has been around for at least 60 years. It goes something like this: intelligent machines eventually realize the uselessness of human beings and turn against their creators. Or this: intelligent machines reduce human to cattle or even food after a dramatic war that human beings lose.
Human beings have created countless languages and writing systems that have allowed us to expand collective human knowledge over a period of thousands of years. Much of the knowledge that we utilized today, knowledge about the math, science, and the stars, originates from observations made thousands of years ago but which were recorded by writing systems, allowing this knowledge to be preserved and passed down.
Artificial intelligence has been used for many business, financial, medical, and other applications, and scientists and researchers are actively studying how these applications can be expanded to make human life simpler.
The applications of AI will be explored in this book, both the real applications to business, finance, medicine, and health and the theoretical applications. Even the sensational, perhaps exaggerated applications of AI will be explored in the context of taking a look at how AI may potentially be applied in the future. The purpose of this discussion is for the reader to understand what AI is by understanding how it is used.
Artificial intelligence is certainly a blessing at this point, but the reality that it may become a curse is not lost on some people. Understanding the full implications of AI requires a deep knowledge of what it is and where it came from.
For companies and businesses to take advantage of AI-powered and improved interactions, the conversation has to begin inside the organization. Leaders are supposed to start with the available channels and improve their smartness. From that point, they are supposed to ask key questions about engagements with customers and employees.
Here is a preview of what you will learn...
Brief history of artificial intelligence
The state of art of machine learning
Artificial neural networks applied to machine learning
Part I, Introduction.- An Introduction to Machine Learning and Artificial Intelligence (AI).- Part II, An In-Depth Overview of Machine Learning.- Machine Learning Algorithms.- Performance Evaluation of Machine Learning Models.- Machine Learning Data.- Part III, Automatic Speech Recognition.- Automatic Speech Recognition.- Part IV, Biometrics Recognition.- Face Recognition.- Speaker Recognition.- Part V, Machine Learning by Example.- Machine Learning by Example.- Part VI, The AI-Toolkit: Machine Learning Made Simple.- The AI-Toolkit: Machine Learning Made Simple.- App. A, From Regular Expressions to HMM.- References.- Index.
Автор: Aliev Rafik A., Kacprzyk Janusz, Pedrycz Witold Название: 11th International Conference on Theory and Application of Soft Computing, Computing with Words and Perceptions and Artificial Intelligence - ICSCCW-2 ISBN: 3030921263 ISBN-13(EAN): 9783030921262 Издательство: Springer Рейтинг: Цена: 139750.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: It all starts with a crack that we can hardly see, It happens when we shout or if we disagree. But with every kindness that we care to show, Something good and magical then begins to grow... Angry words and thoughtlessness cause a crack to open up, but find out what happens when kindness begins to blossom, in this thought-provoking book by award-winning illustrator Britta Teckentrup.
Автор: Hong Jiao, Robert W. Lissitz Название: Application of Artificial Intelligence to Assessment ISBN: 1641139528 ISBN-13(EAN): 9781641139526 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 87780.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The general theme of this book is to present the applications of artificial intelligence (AI) in test development. In particular, this book includes research and successful examples of using AI technology in automated item generation, automated test assembly, automated scoring, and computerized adaptive testing.
Автор: David Valle-Cruz, Jacobo Leonardo Gonzalez-Ruiz, Nely Plata-Cesar Название: Applied Artificial Intelligence and Robotics for Government Processes ISBN: 1668456249 ISBN-13(EAN): 9781668456248 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 246710.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Presents state-of-the-art research on AI and robotics in different fields of knowledge, its benefits, applications, and implications. The book includes theoretical and practical research that analyses the transparency and expandability of AI in different fields, as well as the analysis of unexpected results, biases, and cases of discrimination.
Автор: Rana Geeta, Khang Alex, Sharma Ravindra Название: Reinventing Manufacturing and Business Processes Through Artificial Intelligence ISBN: 0367702096 ISBN-13(EAN): 9780367702090 Издательство: Taylor&Francis Рейтинг: Цена: 148010.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book describes how newly emerging Artificial Intelligence (AI) technologies will provide unprecedented opportunities to penetrate technology and automation into everything we do, and at the same time, provide a huge playing field for businesses to develop newer models to capture market share.
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