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Artificial Intelligence in a Throughput Model, Rodgers, Waymond


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Автор: Rodgers, Waymond   (Ваймонд Роджерс)
Название:  Artificial Intelligence in a Throughput Model
Перевод названия: Ваймонд Роджерс: Искусственный интеллект в модели пропускной способности
ISBN: 9780367217815
Издательство: Taylor&Francis
Классификация:



ISBN-10: 0367217813
Обложка/Формат: Hardcover
Страницы: 220
Вес: 0.10 кг.
Дата издания: 23.03.2020
Язык: English
Иллюстрации: 9 tables, black and white; 7 illustrations, color; 39 illustrations, black and white
Размер: 234 x 156 x 14
Читательская аудитория: Tertiary education (us: college)
Основная тема: Machine Learning - Design
Подзаголовок: Some Major Algorithms
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
Описание: This book provides an overview of the existing biometric technologies, decision-making algorithms and the growth opportunity in biometrics. The book proposes a throughput model, which draws on computer science, economics and psychology to model perceptual, informational sources, judgmental processes and decision choice algorithms.


Throughput Optimization in Robotic Cells

Автор: Milind W. Dawande; H. Neil Geismar; Suresh P. Seth
Название: Throughput Optimization in Robotic Cells
ISBN: 0387709878 ISBN-13(EAN): 9780387709871
Издательство: Springer
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Цена: 26122.00 р.
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Описание: Throughput Optimization In Robotic Cells provides practitioners, researchers, and students with up-to-date algorithmic results on sequencing of robot moves and scheduling of parts in robotic cells. It brings together the structural results developed over the last 25 years for the various realistic models of robotic cells.

Artificial Intelligence for Games

Автор: Millington, Ian, Funge, John
Название: Artificial Intelligence for Games
ISBN: 0123747317 ISBN-13(EAN): 9780123747310
Издательство: Taylor&Francis
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Цена: 10870.00 р.
Наличие на складе: Поставка под заказ.

Описание: Creating robust artificial intelligence is one of the greatest challenges for game developers, yet the commercial success of a game is often dependent upon the quality of the AI. In this book, Ian Millington brings extensive professional experience to the problem of improving the quality of AI in games. He describes numerous examples from real games and explores the underlying ideas through detailed case studies. He goes further to introduce many techniques little used by developers today. The book's associated web site contains a library of C++ source code and demonstration programs, and a complete commercial source code library of AI algorithms and techniques.<br><br>"Artificial Intelligence for Games - 2nd edition" will be highly useful to academics teaching courses on game AI, in that it includes exercises with each chapter. It will also include new and expanded coverage of the following: AI-oriented gameplay; Behavior driven AI; Casual games (puzzle games). <br><br>* The first comprehensive, professional tutorial and reference to implement true AI in games written by an engineer with extensive industry experience.<br>* Walks through the entire development process from beginning to end.<br>* Includes examples from over 100 real games, 10 in-depth case studies, and web site with sample code.

Modeling And Analysis Of Dependable Systems: A Probabilistic Graphical Model Perspective

Автор: Portinale Luigi & Codetta Raiteri Daniele
Название: Modeling And Analysis Of Dependable Systems: A Probabilistic Graphical Model Perspective
ISBN: 9814612030 ISBN-13(EAN): 9789814612036
Издательство: World Scientific Publishing
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Цена: 16632.00 р.
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Описание:

The monographic volume addresses, in a systematic and comprehensive way, the state-of-the-art dependability (reliability, availability, risk and safety, security) of systems, using the Artificial Intelligence framework of Probabilistic Graphical Models (PGM). After a survey about the main concepts and methodologies adopted in dependability analysis, the book discusses the main features of PGM formalisms (like Bayesian and Decision Networks) and the advantages, both in terms of modeling and analysis, with respect to classical formalisms and model languages.

Methodologies for deriving PGMs from standard dependability formalisms will be introduced, by pointing out tools able to support such a process. Several case studies will be presented and analyzed to support the suitability of the use of PGMs in the study of dependable systems.

Cases on Immersive Virtual Reality Techniques

Автор: Kenneth C.C. Yang
Название: Cases on Immersive Virtual Reality Techniques
ISBN: 1522559124 ISBN-13(EAN): 9781522559122
Издательство: Mare Nostrum (Eurospan)
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Цена: 31462.00 р.
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Описание: As virtual reality approaches mainstream consumer use, new research and innovations in the field have impacted how we view and can use this technology across a wide range of industries. Advancements in this technology have led to recent breakthroughs in sound, perception, and visual processing that take virtual reality to new dimensions. As such, research is needed to support the adoption of these new methods and applications. Cases on Immersive Virtual Reality Techniques is an essential reference source that discusses new applications of virtual reality and how they can be integrated with immersive techniques and computer resources. Featuring research on topics such as 3D modeling, cognitive load, and motion cueing, this book is ideally designed for educators, academicians, researchers, and students seeking coverage on the applications of collaborative virtual environments.

Artificial intelligence: a very short introduction

Автор: Boden, Margaret A. (research Professor Of Cognitive Science, University Of Sussex)
Название: Artificial intelligence: a very short introduction
ISBN: 0199602913 ISBN-13(EAN): 9780199602919
Издательство: Oxford Academ
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Цена: 1582.00 р.
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Описание: This concise guide explains the history, theory, potential, application, and limitations of Artificial Intelligence. Boden shows how research into AI has shed light on the working of human and animal minds, and she considers the philosophical challenges AI raises: could programs ever be really intelligent, creative or even conscious?

High-Throughput Metabolomics

Автор: Angelo D`Alessandro
Название: High-Throughput Metabolomics
ISBN: 149399235X ISBN-13(EAN): 9781493992355
Издательство: Springer
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Цена: 27950.00 р.
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Описание: This detailed volume focuses on recent technological, computational, and biostatistical advances in the field of high-throughput metabolomics. Chapters encompass methods, platforms, and analytical strategies for steady state measurements and metabolic flux analysis with stable isotope-labeled tracers, in biological matrices of clinical relevance and model organisms. Mass spectrometry-based or orthogonal methods are discussed, along with computational and statistical methods to address data sparsity in high-throughput metabolomics approaches. As a part of the highly successful Methods in Molecular Biology series, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.

Authoritative and practical, High-Throughput Metabolomics: Methods and Protocols provides tools that can bring about the next generation of clinical biochemistry in a cost-effective, rigorous fashion, exponentially advancing our capacity to investigate nature while hastening the advent of personalized medicine.
Accelerator Data-Path Synthesis for High-Throughput Signal Processing Applications

Автор: Werner Geurts; Francky Catthoor; Serge Vernalde; H
Название: Accelerator Data-Path Synthesis for High-Throughput Signal Processing Applications
ISBN: 1461346746 ISBN-13(EAN): 9781461346746
Издательство: Springer
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Цена: 20962.00 р.
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Описание: Accelerator Data-Path Synthesis for High-Throughput Signal Processing Applications is the first book to show how to use high-level synthesis techniques to cope with the stringent timing requirements of complex high-throughput real-time signal and data processing.

High-Throughput Analysis

Автор: Radislav A. Potyrailo; Eric J. Amis
Название: High-Throughput Analysis
ISBN: 1461347491 ISBN-13(EAN): 9781461347491
Издательство: Springer
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Цена: 22359.00 р.
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Описание: This book, edited by Potyrailo and Amis, addresses a new paradigm-shifting approach in the search for new materials-Combinatorial Materials Science. Most of these "new" materials will be less good than ones we use now since existing materials have been refined with the extensive work of scientists and engi- neers.

Throughput Optimization in Robotic Cells

Автор: Milind W. Dawande; H. Neil Geismar; Suresh P. Seth
Название: Throughput Optimization in Robotic Cells
ISBN: 1441943692 ISBN-13(EAN): 9781441943699
Издательство: Springer
Рейтинг:
Цена: 26120.00 р.
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Описание: Throughput Optimization In Robotic Cells provides practitioners, researchers, and students with up-to-date algorithmic results on sequencing of robot moves and scheduling of parts in robotic cells. It brings together the structural results developed over the last 25 years for the various realistic models of robotic cells.

High-Throughput Analysis

Автор: Radislav A. Potyrailo; Eric J. Amis
Название: High-Throughput Analysis
ISBN: 0306477580 ISBN-13(EAN): 9780306477584
Издательство: Springer
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Цена: 32652.00 р.
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Описание: Covers analytical methods, instrumentation and data processing techniques used for high-throughput analysis of materials in combinatorial chemistry and materials science beyond the pharmaceutical area. This book demonstrates how these techniques are applied for development of materials on combinatorial scale and for scale-up of materials leads.

Model Checking and Artificial Intelligence

Автор: Doron A. Peled; M.J. Wooldridge
Название: Model Checking and Artificial Intelligence
ISBN: 364200430X ISBN-13(EAN): 9783642004308
Издательство: Springer
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Цена: 9781.00 р.
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Описание: Constitutes the refereed post-workshop proceedings of the 5th Workshop on Model Checking and Artificial Intelligence, MOCHART 2008, held in Patras, Greece, in July 2008 as a satellite event of ECAI 2008, the 18th biannual European conference on Artificial Intelligence.

The AI Advantage: How to Put the Artificial Intelligence Revolution to Work

Автор: Davenport Thomas H.
Название: The AI Advantage: How to Put the Artificial Intelligence Revolution to Work
ISBN: 0262039176 ISBN-13(EAN): 9780262039178
Издательство: MIT Press
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Цена: 2772.00 р.
Наличие на складе: Нет в наличии.

Описание:

How businesses can put artificial intelligence to work now: a guide to available technologies, the tasks they can do, and practical AI business strategy,

In The AI Advantage, Thomas Davenport offers a guide to using artificial intelligence--also known as cognitive technologies--in business. He describes what technologies are available and how companies can use them for business benefits and competitive advantage. He cuts through the hype of the AI craze--remember when it seemed plausible that IBM's Watson could cure cancer?--to explain how businesses can put artificial intelligence to work now, in the real world. His key recommendation: don't go for the "moonshot" (curing cancer, or synthesizing all investment knowledge); look for the "low-hanging fruit" to make your company more efficient.

Davenport explains that the business value AI offers is solid rather than sexy or splashy. AI will improve products and processes and make decisions better informed--important but largely invisible tasks. AI technologies won't replace human workers but augment their capabilities, with smart machines to work alongside smart people. AI can automate structured and repetitive work; provide extensive analysis of data through machine learning ("analytics on steroids"), and engage with customers and employees via chatbots and intelligent agents. Companies should experiment with these technologies and develop their own expertise.

Davenport describes the major AI technologies and explains how they are being used, reports on the AI work done by large commercial enterprises like Amazon and Google, and outlines strategies and steps to becoming a cognitive corporation. This book provides an invaluable guide to the real-world future of business AI.


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