From Artificial Intelligence to Brain Intelligence: AI Compute Symposium 2018, Rajiv Joshi, Matt Ziegler, Arvind Kumar, Eduard Alarcon
Автор: Derek Anderson; Robert Niewiadomski Название: Cultural and social implications of artificial intelligence in education / ISBN: 1522577939 ISBN-13(EAN): 9781522577935 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 154660.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Artificial intelligence serves as a catalyst for transformation in the field of education. This shift in the educational paradigm has a profound impact on the way we live, interact with each other, and define our values. Thus, there is a need for an earnest inquiry into the cultural repercussions of this phenomenon that extends beyond superficial analyses of AI-based applications in education. Cultural and Social Implications of Artificial Intelligence in Education addresses the need for a scholarly exploration of the cultural and social impacts of the rapid expansion of artificial intelligence in the field of education including potential consequences these impacts could have on culture, social relations, and values. The content within this publication covers such topics as ethics, critical thinking, and augmented intelligence and is designed for educators, academicians, administrators, researchers, and professionals.
Автор: Nie Liqiang, Liu Meng, Song Xuemeng Название: Multimodal Learning toward Micro-Video Understanding ISBN: 1681736306 ISBN-13(EAN): 9781681736303 Издательство: Mare Nostrum (Eurospan) Цена: 103490.00 T Наличие на складе: Нет в наличии. Описание:
Micro-videos, a new form of user-generated content, have been spreading widely across various social platforms, such as Vine, Kuaishou, and TikTok.
Different from traditional long videos, micro-videos are usually recorded by smart mobile devices at any place within a few seconds. Due to their brevity and low bandwidth cost, micro-videos are gaining increasing user enthusiasm. The blossoming of micro-videos opens the door to the possibility of many promising applications, ranging from network content caching to online advertising. Thus, it is highly desirable to develop an effective scheme for high-order micro-video understanding.
Micro-video understanding is, however, non-trivial due to the following challenges: (1) how to represent micro-videos that only convey one or few high-level themes or concepts; (2) how to utilize the hierarchical structure of venue categories to guide micro-video analysis; (3) how to alleviate the influence of low quality caused by complex surrounding environments and camera shake; (4) how to model multimodal sequential data, i.e. textual, acoustic, visual, and social modalities to enhance micro-video understanding; and (5) how to construct large-scale benchmark datasets for analysis. These challenges have been largely unexplored to date.
In this book, we focus on addressing the challenges presented above by proposing some state-of-the-art multimodal learning theories. To demonstrate the effectiveness of these models, we apply them to three practical tasks of micro-video understanding: popularity prediction, venue category estimation, and micro-video routing. Particularly, we first build three large-scale real-world micro-video datasets for these practical tasks. We then present a multimodal transductive learning framework for micro-video popularity prediction. Furthermore, we introduce several multimodal cooperative learning approaches and a multimodal transfer learning scheme for micro-video venue category estimation. Meanwhile, we develop a multimodal sequential learning approach for micro-video recommendation. Finally, we conclude the book and figure out the future research directions in multimodal learning toward micro-video understanding.
Автор: Barfoot Timothy D Название: State Estimation for Robotics ISBN: 1107159393 ISBN-13(EAN): 9781107159396 Издательство: Cambridge Academ Рейтинг: Цена: 95030.00 T Наличие на складе: Невозможна поставка. Описание: This book is intended for students and practitioners of robotics who are interested in using noisy sensor data to estimate the position, orientation, and other state variables of robots as they move through the three-dimensional world. It covers classical and modern techniques commonly used in robotics today.
Автор: Qiang Yang, Yang Liu, Yong Cheng, Yan Kang, Tianjian Chen, Han Yu Название: Federated Learning ISBN: 1681736993 ISBN-13(EAN): 9781681736990 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 103490.00 T Наличие на складе: Нет в наличии. Описание: How is it possible to allow multiple data owners to collaboratively train and use a shared prediction model while keeping all the local training data private? Traditional machine learning approaches need to combine all data at one location, typically a data center, which may very well violate the laws on user privacy and data confidentiality. Today, many parts of the world demand that technology companies treat user data carefully according to user-privacy laws. The European Union's General Data Protection Regulation (GDPR) is a prime example. In this book, we describe how federated machine learning addresses this problem with novel solutions combining distributed machine learning, cryptography and security, and incentive mechanism design based on economic principles and game theory. We explain different types of privacy-preserving machine learning solutions and their technological backgrounds, and highlight some representative practical use cases. We show how federated learning can become the foundation of next-generation machine learning that caters to technological and societal needs for responsible AI development and application.
Автор: J.-J. Ch. Meyer, W. van der Hoek Название: Epistemic Logic for AI and Computer Science ISBN: 0521602807 ISBN-13(EAN): 9780521602808 Издательство: Cambridge Academ Рейтинг: Цена: 61240.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book, based on courses taught at universities and summer schools, provides a broad introduction to the subject; many exercises are included with their solutions.
Автор: MALLICK & BORAH Название: Emerging Trends and Applications in Cognitive Computing ISBN: 1522557938 ISBN-13(EAN): 9781522557937 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 179740.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Though an individual can process a limitless amount of information, the human brain can only comprehend a small amount of data at a time. Using technology can improve the process and comprehension of information, but the technology must learn to behave more like a human brain to employ concepts like memory, learning, visualization ability, and decision making.Emerging Trends and Applications in Cognitive Computing is a fundamental scholarly source that provides empirical studies and theoretical analysis to show how learning methods can solve important application problems throughout various industries and explain how machine learning research is conducted. Including innovative research on topics such as deep neural networks, cyber-physical systems, and pattern recognition, this collection of research will benefit individuals such as IT professionals, academicians, students, researchers, and managers.
Автор: Walter J. Scheirer Название: Extreme Value Theory-Based Methods for Visual Recognition ISBN: 1627057005 ISBN-13(EAN): 9781627057004 Издательство: Turpin Рейтинг: Цена: 68930.00 T Наличие на складе: Невозможна поставка. Описание: A common feature of many approaches to modeling sensory statistics is an emphasis on capturing the ""average."" From early representations in the brain, to highly abstracted class categories in machine learning for classification tasks, central-tendency models based on the Gaussian distribution are a seemingly natural and obvious choice for modeling sensory data. However, insights from neuroscience, psychology, and computer vision suggest an alternate strategy: preferentially focusing representational resources on the extremes of the distribution of sensory inputs. The notion of treating extrema near a decision boundary as features is not necessarily new, but a comprehensive statistical theory of recognition based on extrema is only now just emerging in the computer vision literature. This book begins by introducing the statistical Extreme Value Theory (EVT) for visual recognition. In contrast to central-tendency modeling, it is hypothesized that distributions near decision boundaries form a more powerful model for recognition tasks by focusing coding resources on data that are arguably the most diagnostic features. EVT has several important properties: strong statistical grounding, better modeling accuracy near decision boundaries than Gaussian modeling, the ability to model asymmetric decision boundaries, and accurate prediction of the probability of an event beyond our experience. The second part of the book uses the theory to describe a new class of machine learning algorithms for decision making that are a measurable advance beyond the state-of-the-art. This includes methods for post-recognition score analysis, information fusion, multi-attribute spaces, and calibration of supervised machine learning algorithms.
Название: Natural Language Processing: Concepts, Methodologies, Tools, and Applications ISBN: 179980951X ISBN-13(EAN): 9781799809517 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 2263800.00 T Наличие на складе: Нет в наличии. Описание: As technology continues to become more sophisticated, a computer's ability to understand, interpret, and manipulate natural language is also accelerating. Persistent research in the field of natural language processing enables an understanding of the world around us, in addition to opportunities for manmade computing to mirror natural language processes that have existed for centuries.
Natural Language Processing: Concepts, Methodologies, Tools, and Applications is a vital reference source on the latest concepts, processes, and techniques for communication between computers and humans. Highlighting a range of topics such as machine learning, computational linguistics, and semantic analysis, this multi-volume book is ideally designed for computer engineers, computer and software developers, IT professionals, academicians, researchers, and upper-level students seeking current research on the latest trends in the field of natural language processing.
Автор: Grebennikov Название: Broadband RF and Microwave Amplifiers ISBN: 1138800201 ISBN-13(EAN): 9781138800205 Издательство: Taylor&Francis Рейтинг: Цена: 83690.00 T Наличие на складе: Нет в наличии. Описание:
Broadband RF and Microwave Amplifiers provides extensive coverage of broadband radio frequency (RF) and microwave power amplifier design, including well-known historical and recent novel schematic configurations, theoretical approaches, circuit simulation results, and practical implementation strategies. The text begins by introducing two-port networks to illustrate the behavior of linear and nonlinear circuits, explaining the basic principles of power amplifier design, and discussing impedance matching and broadband power amplifier design using lumped and distributed parameters. The book then:
Shows how dissipative or lossy gain-compensation-matching circuits can offer an important trade-off between power gain, reflection coefficient, and operating frequency bandwidth
Describes the design of broadband RF and microwave amplifiers using real frequency techniques (RFTs), supplying numerous examples based on the MATLAB(R) programming process
Examines Class-E power amplifiers, Doherty amplifiers, low-noise amplifiers, microwave gallium arsenide field-effect transistor (GaAs FET)-distributed amplifiers, and complementary metal-oxide semiconductor (CMOS) amplifiers for ultra-wideband (UWB) applications
Broadband RF and Microwave Amplifiers combines theoretical analysis with practical design to create a solid foundation for innovative ideas and circuit design techniques.
Автор: Fillard Jean-Pierre Название: Brain Vs Computer: The Challenge Of The Century ISBN: 9813145544 ISBN-13(EAN): 9789813145542 Издательство: World Scientific Publishing Рейтинг: Цена: 65470.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
It is well known that every animal species obeys Darwin's law of evolution, which requires permanent adaptation of animals to their environment. To be precise, every species except man, who behaves exactly contrariwise, adapting the workplace to himself in order to survive. For that he generally enjoys a particular gift of nature: intelligence.
That reverse adaptation, which accumulated over centuries, led to what we call "progress." This was enhanced by the development of machines which began to be also intelligent and now compete fiercely with humans through the development of an "artificial intelligence."
Some famous people in the world of science and technology recently sounded the alarm about the threats which these improvements are posing. They invoked a possible domination by the machines due to their uncontrolled superior intelligence, potentially leading us into a certain kind of slavery.
In this book we take a look at this new challenge of the human brain versus the computer. The brain is a very complex organ and we are just beginning to understand how it works; many things remain mysterious and can lead to surprises. We will see how current investigations bring new information about this strange organ.
We will also see how the "artificial challenger" plans to win the battle, how computers are getting more and more powerful and subtle as the AI advances. Would a transfer of minds in a machine be possible? Would the computer be capable of a self, nonneuromorphic intelligence? These questions are now open.
Who will win? We do not know yet. But it is certain that many things are going to change in our lives in the very near future.
Автор: Fillard Jean-Pierre Название: Brain Vs Computer: The Challenge Of The Century ISBN: 9813145552 ISBN-13(EAN): 9789813145559 Издательство: World Scientific Publishing Рейтинг: Цена: 30630.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
It is well known that every animal species obeys Darwin's law of evolution, which requires permanent adaptation of animals to their environment. To be precise, every species except man, who behaves exactly contrariwise, adapting the workplace to himself in order to survive. For that he generally enjoys a particular gift of nature: intelligence.
That reverse adaptation, which accumulated over centuries, led to what we call "progress." This was enhanced by the development of machines which began to be also intelligent and now compete fiercely with humans through the development of an "artificial intelligence."
Some famous people in the world of science and technology recently sounded the alarm about the threats which these improvements are posing. They invoked a possible domination by the machines due to their uncontrolled superior intelligence, potentially leading us into a certain kind of slavery.
In this book we take a look at this new challenge of the human brain versus the computer. The brain is a very complex organ and we are just beginning to understand how it works; many things remain mysterious and can lead to surprises. We will see how current investigations bring new information about this strange organ.
We will also see how the "artificial challenger" plans to win the battle, how computers are getting more and more powerful and subtle as the AI advances. Would a transfer of minds in a machine be possible? Would the computer be capable of a self, nonneuromorphic intelligence? These questions are now open.
Who will win? We do not know yet. But it is certain that many things are going to change in our lives in the very near future.
Автор: Rao Rajesh P. N. Название: Brain-Computer Interfacing: An Introduction ISBN: 1108708013 ISBN-13(EAN): 9781108708012 Издательство: Cambridge Academ Рейтинг: Цена: 38010.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This introduction to the field of brain-computer interfacing is designed as a textbook for upper-level undergraduate and first-year graduate courses in neural engineering or brain-computer interfacing for students from a wide range of disciplines. It can also be used as a reference by neuroscientists, computer scientists, engineers, and medical practitioners.
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