Advances in Artificial Intelligence SBIA 2010

Advances in Artificial Intelligence    SBIA 2010
Author: Antonio Carlos da Rocha Costa,Rosa Maria Vicari,Flavio Tonidandel
Publsiher: Springer Science & Business Media
Total Pages: 313
Release: 2010-10-08
ISBN: 3642161375
Category: Computers
Language: EN, FR, DE, ES & NL

Advances in Artificial Intelligence SBIA 2010 Book Excerpt:

The SBIA conference series started in 1984 at the Federal University of Rio Grande do Sul (UFRGS) and through the years has bene?ted the Arti?cial Intelligence and Computer Science communities in Brazil. After 26 years and 20 conferences SBIA is now a mature event, constituting a discussion forum for new ideas in all sub-areas of AI. In this book you will ?nd the full papers selected for publication in the SBIA 2010 proceedings. The papers cover the AI sub-areas in the following way: – Ontologies, Knowledge Representation, and Reasoning: 8 – Machine Learning: 2 – Autonomous Agents and Multiagent Systems: 6 – Natural Language Processing: 2 – Planning and Scheduling: 5 – Logics for AI: 3 – Constraints and Search: 5 We would like to thank all the authors that contributed to SBIA 2010. We also thank all the members of the international Program Committee and the additional reviewers, who did an excellent job in reviewing the papers. We are very grateful to Flavio Tonidandel, General Chair of SBIA 2010 and of the Joint SBIA/SBRN/JRI 2010 Conference, for all the support that he and his team at FEI provided. Yoav Shoham, Jaime Sichman, and David Hogg were the keynote speakers of the event. We thank them very much for their acceptance of the invitation. A special acknowledgement is due to Tiago Thompsen Primo, for his de- cated e?ort in the editing of these proceedings. Finally, we thank the SBIA 2010 sponsors (CAPES, CNPq, FAPESP, and SBC) for their support.

Advances in Artificial Intelligence SBIA 2010

Advances in Artificial Intelligence    SBIA 2010
Author: Antonio Carlos da Rocha Costa,Rosa Maria Vicari,Flavio Tonidandel
Publsiher: Springer
Total Pages: 313
Release: 2010-10-27
ISBN: 3642161383
Category: Computers
Language: EN, FR, DE, ES & NL

Advances in Artificial Intelligence SBIA 2010 Book Excerpt:

This book constitutes the proceedings of the 20th Brazilian Symposium on Artificial Intelligence, SBIA 2010, held in São Bernardo do Campo, Brazil, in October 2010. The 31 papers presented were carefully reviewed and selected from 91 submissions. The topics covered are: ontologies, knowledge representation and reasoning; machine learning; autonomous agents and multiagent systems; natural language processing; planning and scheduling; constraints and search; and logics for AI.

Advances in Artificial Intelligence SBIA 2012

Advances in Artificial Intelligence   SBIA 2012
Author: Leliane N. Barros,Marcelo Finger,Aurora T.R. Pozo,Gustavo Alberto Giménez Lugo,Marcos Castilho
Publsiher: Springer
Total Pages: 233
Release: 2012-10-05
ISBN: 3642344593
Category: Computers
Language: EN, FR, DE, ES & NL

Advances in Artificial Intelligence SBIA 2012 Book Excerpt:

This book constitutes the refereed proceedings of the 21st Brazilian Symposium on Artificial Intelligence, SBIA 2012, held in Curitiba, Brazil, in October 2012. The 23 revised full papers presented were carefully reviewed and selected from 81 submissions. The papers cover the following topics: knowledge representation, machine learning, machine learning and computer vision, agent-based and multi-agent systems, robotics and language, as well as constraints.

Advances in Artificial Intelligence IBERAMIA 2012

Advances in Artificial Intelligence    IBERAMIA 2012
Author: Juan Pavón,Néstor D. Duque-Méndez,Rubén Fuentes Fernández
Publsiher: Springer
Total Pages: 745
Release: 2012-11-15
ISBN: 3642346545
Category: Computers
Language: EN, FR, DE, ES & NL

Advances in Artificial Intelligence IBERAMIA 2012 Book Excerpt:

This book constitutes the refereed proceedings of the 13th Ibero-American Conference on Artificial Intelligence, IBERAMIA 2012, held in Cartagena de Indias, Colombia, in November 2012. The 75 papers presented were carefully reviewed and selected from 170 submissions. The papers are organized in topical sections on knowledge representation and reasoning, information and knowledge processing, knowledge discovery and data mining, machine learning, bio-inspired computing, fuzzy systems, modelling and simulation, ambient intelligence, multi-agent systems, human-computer interaction, natural language processing, computer vision and robotics, planning and scheduling, AI in education, and knowledge engineering and applications.

Advances in Artificial Intelligence IBERAMIA 2014

Advances in Artificial Intelligence    IBERAMIA 2014
Author: Ana L.C. Bazzan,Karim Pichara
Publsiher: Springer
Total Pages: 807
Release: 2014-11-11
ISBN: 3319120271
Category: Computers
Language: EN, FR, DE, ES & NL

Advances in Artificial Intelligence IBERAMIA 2014 Book Excerpt:

This book constitutes the refereed proceedings of the 14th Ibero-American Conference on Artificial Intelligence, IBERAMIA 2014, held in Santiago de Chile, Chile, in November 2014. The 64 papers presented were carefully reviewed and selected from 136 submissions. The papers are organized in the following topical sections: knowledge engineering, knowledge representation and probabilistic reasoning; planning and scheduling; natural language processing; machine learning; fuzzy systems; knowledge discovery and data mining; bio-inspired computing; robotics; vision; multi-agent systems; agent-based modeling and simulation; AI in education, affective computing, and human-computer interaction; applications of AI; and ambient intelligence.

Advances in Artificial Intelligence

Advances in Artificial Intelligence
Author: Ildar Batyrshin,Grigori Sidorov
Publsiher: Springer
Total Pages: 596
Release: 2011-11-22
ISBN: 3642253245
Category: Computers
Language: EN, FR, DE, ES & NL

Advances in Artificial Intelligence Book Excerpt:

The two-volume set LNAI 7094 and LNAI 7095 constitutes the refereed proceedings of the 10th Mexican International Conference on Artificial Intelligence, MICAI 2011, held in Puebla, Mexico, in November/December 2011. The 96 revised papers presented were carefully reviewed and selected from numerous submissions. The first volume includes 50 papers representing the current main topics of interest for the AI community and their applications. The papers are organized in the following topical sections: automated reasoning and multi-agent systems; problem solving and machine learning; natural language processing; robotics, planning and scheduling; and medical applications of artificial intelligence.

Experimental Robotics

Experimental Robotics
Author: M. Ani Hsieh,Oussama Khatib,Vijay Kumar
Publsiher: Springer
Total Pages: 927
Release: 2015-11-21
ISBN: 3319237780
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Experimental Robotics Book Excerpt:

The International Symposium on Experimental Robotics (ISER) is a series of bi-annual meetings which are organized in a rotating fashion around North America, Europe and Asia/Oceania. The goal of ISER is to provide a forum for research in robotics that focuses on novelty of theoretical contributions validated by experimental results. The meetings are conceived to bring together, in a small group setting, researchers from around the world who are in the forefront of experimental robotics research. This unique reference presents the latest advances across the various fields of robotics, with ideas that are not only conceived conceptually but also explored experimentally. It collects robotics contributions on the current developments and new directions in the field of experimental robotics, which are based on the papers presented at the 14th ISER held on June 15-18, 2014 in Marrakech and Essaouira, Morocco. This present fourteenth edition of Experimental Robotics edited by M. Ani Hsieh, Oussama Khatib, and Vijay Kumar offers a collection of a broad range of topics in field and human-ce ntered robotics.

Reliability and Statistics in Transportation and Communication

Reliability and Statistics in Transportation and Communication
Author: Igor Kabashkin,Irina Yatskiv,Olegas Prentkovskis
Publsiher: Springer Nature
Total Pages: 879
Release: 2021-02-06
ISBN: 3030684768
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Reliability and Statistics in Transportation and Communication Book Excerpt:

This book reports on cutting-edge theories and methods for analyzing complex systems, such as transportation and communication networks and discusses multi-disciplinary approaches to dependability problems encountered when dealing with complex systems in practice. The book presents the most noteworthy methods and results discussed at the International Conference on Reliability and Statistics in Transportation and Communication (RelStat), which took place remotely from Riga, Latvia, on October 14 – 17, 2020. It spans a broad spectrum of topics, from mathematical models and design methodologies, to software engineering, data security and financial issues, as well as practical problems in technical systems, such as transportation and telecommunications, and in engineering education.

Semantic Models in IoT and eHealth Applications

Semantic Models in IoT and eHealth Applications
Author: Sanju Mishra Tiwari,Fernando Ortiz Rodriguez,M.A. Jabbar
Publsiher: Academic Press
Total Pages: 292
Release: 2022-10-01
ISBN: 0323972268
Category: Computers
Language: EN, FR, DE, ES & NL

Semantic Models in IoT and eHealth Applications Book Excerpt:

Semantic Models in IoT and eHealth Applications explores the key role of semantic web modeling in eHealth technologies, including remote monitoring, mobile health, cloud data and biomedical ontologies. The book explores different challenges and issues through the lens of various case studies of healthcare systems currently adopting these technologies. Chapters introduce the concepts of semantic interoperability within a healthcare model setting and explore how semantic representation is key to classifying, analyzing and understanding the massive amounts of biomedical data being generated by connected medical devices. Continuous health monitoring is a strong solution which can provide eHealth services to a community through the use of IoT-based devices that collect sensor data for efficient health diagnosis, monitoring and treatment. All of this collected data needs to be represented in the form of ontologies which are considered the cornerstone of the Semantic Web for knowledge sharing, information integration and information extraction. Presents comprehensive coverage of advances in the application of semantic web in the field of eHealth Explores different challenges and issues through various case studies of healthcare systems that are adopting semantic web technologies Covers applications across a range of eHealth technologies, including remote monitoring and mobile health

Intelligent Decision Making in Quality Management

Intelligent Decision Making in Quality Management
Author: Cengiz Kahraman,Seda Yanik
Publsiher: Springer
Total Pages: 466
Release: 2015-10-31
ISBN: 331924499X
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Intelligent Decision Making in Quality Management Book Excerpt:

This book presents recently developed intelligent techniques with applications and theory in the area of quality management. The involved applications of intelligence include techniques such as fuzzy sets, neural networks, genetic algorithms, etc. The book consists of classical quality management topics dealing with intelligent techniques for solving the complex quality management problems. The book will serve as an excellent reference for quality managers, researchers, lecturers and postgraduate students in this area. The authors of the chapters are well-known researchers in the area of quality management.

Path Planning for Vehicles Operating in Uncertain 2D Environments

Path Planning for Vehicles Operating in Uncertain 2D Environments
Author: Viacheslav Pshikhopov
Publsiher: Butterworth-Heinemann
Total Pages: 312
Release: 2017-01-28
ISBN: 0128123060
Category: Computers
Language: EN, FR, DE, ES & NL

Path Planning for Vehicles Operating in Uncertain 2D Environments Book Excerpt:

Path Planning for Vehicles Operating in Uncertain 2D-environments presents a survey that includes several path planning methods developed using fuzzy logic, grapho-analytical search, neural networks, and neural-like structures, procedures of genetic search, and unstable motion modes. Presents a survey of accounting limitations imposed by vehicle dynamics Proposes modified and new original methods, including neural networking, grapho-analytical, and nature-inspired Gives tools for a novice researcher to select a method that would suit their needs or help to synthesize new hybrid methods

Introducing the Oscillations Based Paradigm

Introducing the Oscillations Based Paradigm
Author: Darius Plikynas
Publsiher: Springer
Total Pages: 325
Release: 2016-06-16
ISBN: 3319390406
Category: Computers
Language: EN, FR, DE, ES & NL

Introducing the Oscillations Based Paradigm Book Excerpt:

The book presents a conceptually novel oscillations based paradigm, the Oscillation-Based Multi-Agent System (OSIMAS), aimed at the modelling of agents and their systems as coherent, stylized, neurodynamic processes. This paradigm links emerging research domains via coherent neurodynamic oscillation based representations of the individual human mind and society (as a coherent collective mind) states. Thus, this multidisciplinary paradigm delivers an empirical and simulation research framework that provides a new way of modelling the complex dynamics of individual and collective mind states. This book addresses a conceptual problem – the lack of a multidisciplinary, connecting paradigm, which could link fragmented research in the fields of neuroscience, artificial intelligence (AI), multi-agent system (MAS) and the social network domains. The need for a common multidisciplinary research framework essentially arises because these fields share a common object of investigation and simulation, i.e., individual and collective human behavior. Although the fields of research mentioned above all approach this from different perspectives, their common object of investigation unites them. By putting the various pathways of research as they are interrelated into perspective, this book provides a philosophical underpinning, experimental background and modelling tools that the author anticipates will reveal new frontiers in multidisciplinary research. Fundamental investigation of the implicit oscillatory nature of agents’ mind states and social mediums in general can reveal some new ways of understanding the periodic and nonperiodic fluctuations taking place in real life. For example, via agent states-related diffusion properties, we could investigate complex economic phenomena like the spread of stock market crashes, currency crises, speculative oscillations (bubbles and crashes), social unrest, recessionary effects, sovereign defaults, etc. All these effects are closely associated with social fragility, which follows and is affected by cycles such as production, political, business and financial. Thus, the multidisciplinary OSIMAS paradigm can yield new knowledge and research perspectives, allowing for a better understanding of social agents and their social organization principles.

Shared Earth Modeling

Shared Earth Modeling
Author: Michel Perrin,Jean-François Rainaud
Publsiher: Editions TECHNIP
Total Pages: 428
Release: 2013
ISBN: 9782710810025
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Shared Earth Modeling Book Excerpt:

Over the last two decades, earth modeling has become a major investigative tool for evaluating the potential of hydrocarbon reservoirs. Earth modelling must now face new challenges since petroleum exploration no longer consists in only investigating newly identified resources, but also in re-evaluating the potential of previously investigated reservoirs in the light of new prospecting data and of revised interpretations. Earth models incorporate a variety of different interpretations made on various types of data at successive steps of the modeling process. However, current modeling procedures provide no way to link a range of data and interpretations with a final earth model. For this reason, sharing and exchanging information about the model building process is at present a major difficulty. Recently, the term “Shared Earth Modeling” has been used for expressing the idea that earth models should be built in such a way that experts and end users can have access, at any time, to all the information incorporated into the model. This information does not only concern the data, but also the knowledge that geoscientists produce by interpreting these data. Accordingly, practical solutions must be studied for operating a knowledge-driven approach of Shared Earth Modeling. This is the goal of this book. This study of earth subsurface modeling is intended for several categories of readers. It concerns in the first place geologists, engineers and managers involved in the study and evaluation of subsurface reservoirs and hydrocarbon exploration. Relying on recent progress in various fields of computer sciences, the authors present innovative solutions for solving the critical issue of knowledge exchange at key steps of the modeling process. This book will also be of interest to researchers in computer science and, more generally, to engineers, researchers and students who wish to apply advanced knowledge-based techniques to complex engineering problems. Contents : Part I. Earth Models. 1. Earth models as subsurface representations. 2. Earth models for underground resource exploration and estimation. 3. Earth models used in petroleum industry: current practice and future challenges. Part II. Knowledge oriented solutions. 4. Knowledge based approach of a data intensive problem: seismic interpretation. 5. Individual surface representations and optimization. 6. Geological surface assemblage. 7. 3D Meshes for structural, stratigraphy and reservoir frameworks. 8. The data extension issue: geological constraints applied in geostatistical processes. Part III. Knowledge formalization. 9. Ontologies and their use for geological knowledge formalization. 10. Ontologies for Interpreting geochronological relationships. 11. Building ontologies for analyzing data expressed in natural language. 12. Ontology-based rock description and interpretation. Part IV. Knowledge management & applications. 13. Ontology integration and management within data intensive engineering systems. 14. Earth modeling using web services. 15. Full scale example of a knowledge-based method for building and managing an earth model. Part V. Conclusion. Appendix. Glossary.

AI 2015 Advances in Artificial Intelligence

AI 2015  Advances in Artificial Intelligence
Author: Bernhard Pfahringer,Jochen Renz
Publsiher: Springer
Total Pages: 652
Release: 2015-11-21
ISBN: 3319263501
Category: Computers
Language: EN, FR, DE, ES & NL

AI 2015 Advances in Artificial Intelligence Book Excerpt:

This book constitutes the refereed proceedings of the 28th Australasian Joint Conference on Artificial Intelligence, AI 2015, held in Canberra, Australia, in November/December 2015. The 39 full papers and 18 short papers presented were carefully reviewed and selected from 102 submissions.

Negotiation and Argumentation in Multi Agent Systems

Negotiation and Argumentation in Multi Agent Systems
Author: Fernando Lopes,Helder Coelho
Publsiher: Bentham Science Publishers
Total Pages: 446
Release: 2014-04-08
ISBN: 1608058247
Category: Computers
Language: EN, FR, DE, ES & NL

Negotiation and Argumentation in Multi Agent Systems Book Excerpt:

Agent technology has generated lots of excitement in the past decade. Currently, multi-agent systems (MAS) composed of autonomous agents representing individuals or organizations and capable of reaching mutually beneficial agreements through negotiation and argumentation are becoming increasingly important and pervasive. Research on both automated negotiation and argumentation in MAS has a vigorous, exciting tradition. However, efforts to integrate both areas have received only selective attention in the academia and the practitioner literature. A symbiotic relationship could significantly strengthen each area’s progress and trigger new R&D challenges and prospects toward the advancement of automated negotiators and argumentation tools. Negotiation and Argumentation in Multi-Agent Systems presents the current state-of-the-art on the theory and practice of automated negotiation and argumentation in MAS. The eBook encourages the interaction between these two areas in data modelling and attempts to converge them toward mutual enhancement and synergism. Equally, the monograph brings together researchers and industry practitioners specialized in these areas to share R&D results and discuss existing and emerging theoretical and applied problems. This book is intended as a textbook for graduate courses and a reference book for researchers, advanced-level students in Computers Science, and IT practitioners.

Computational Intelligence for Engineering Systems

Computational Intelligence for Engineering Systems
Author: Ana Madureira,Judite Ferreira,Zita Vale
Publsiher: Springer Science & Business Media
Total Pages: 196
Release: 2010-11-23
ISBN: 9400700938
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Computational Intelligence for Engineering Systems Book Excerpt:

Computational Intelligence for Engineering Systems provides an overview and original analysis of new developments and advances in several areas of computational intelligence. Computational Intelligence have become the road-map for engineers to develop and analyze novel techniques to solve problems in basic sciences (such as physics, chemistry and biology) and engineering, environmental, life and social sciences. The contributions are written by international experts, who provide up-to-date aspects of the topics discussed and present recent, original insights into their own experience in these fields. The authors also include methods that apply to diverse fields such as manufacturing, tourism, power systems, computer science, robotics, chemistry, and biology. Topics include: Simulation and evolution of real and artificial life forms; Self-organization; Models of communication and social behaviors; Emergent collective behaviors and swarm intelligence; Adaptive, complex and biologically inspired systems; Power Systems ; Web-based Applications; Knowledge discovery; Intelligent Tutoring Systems ; Decision support Systems; Intelligent Tutoring Systems.

Crowdsourcing of Sensor Cloud Services

Crowdsourcing of Sensor Cloud Services
Author: Azadeh Ghari Neiat,Athman Bouguettaya
Publsiher: Springer
Total Pages: 116
Release: 2018-06-25
ISBN: 3319915363
Category: Computers
Language: EN, FR, DE, ES & NL

Crowdsourcing of Sensor Cloud Services Book Excerpt:

This book develops a crowdsourced sensor-cloud service composition framework taking into account spatio-temporal aspects. This book also unfolds new horizons to service-oriented computing towards the direction of crowdsourced sensor data based applications, in the broader context of Internet of Things (IoT). It is a massive challenge for the IoT research field how to effectively and efficiently capture, manage and deliver sensed data as user-desired services. The outcome of this research will contribute to solving this very important question, by designing a novel service framework and a set of unique service selection and composition frameworks. Delivering a novel service framework to manage crowdsourced sensor data provides high-level abstraction (i.e., sensor-cloud service) to model crowdsourced sensor data from functional and non-functional perspectives, seamlessly turning the raw data into “ready to go” services. A creative indexing model is developed to capture and manage the spatio-temporal dynamism of crowdsourced service providers. Delivering novel frameworks to compose crowdsourced sensor-cloud services is vital. These frameworks focuses on spatio-temporal composition of crowdsourced sensor-cloud services, which is a new territory for existing service oriented computing research. A creative failure-proof model is also designed to prevent composition failure caused by fluctuating QoS. Delivering an incentive model to drive the coverage of crowdsourced service providers is also vital. A new spatio-temporal incentive model targets changing coverage of the crowdsourced providers to achieve demanded coverage of crowdsourced sensor-cloud services within a region. The outcome of this research is expected to potentially create a sensor services crowdsourcing market and new commercial opportunities focusing on crowdsourced data based applications. The crowdsourced community based approach adds significant value to journey planning and map services thus creating a competitive edge for a technologically-minded companies incentivizing new start-ups, thus enabling higher market innovation. This book primarily targets researchers and practitioners, who conduct research work in service oriented computing, Internet of Things (IoT), smart city and spatio-temporal travel planning, as well as advanced-level students studying this field. Small and Medium Entrepreneurs, who invest in crowdsourced IoT services and journey planning infrastructures, will also want to purchase this book.

Machine Learning for Data Streams

Machine Learning for Data Streams
Author: Albert Bifet,Ricard Gavalda,Geoff Holmes,Bernhard Pfahringer
Publsiher: MIT Press
Total Pages: 288
Release: 2018-03-16
ISBN: 0262346052
Category: Computers
Language: EN, FR, DE, ES & NL

Machine Learning for Data Streams Book Excerpt:

A hands-on approach to tasks and techniques in data stream mining and real-time analytics, with examples in MOA, a popular freely available open-source software framework. Today many information sources—including sensor networks, financial markets, social networks, and healthcare monitoring—are so-called data streams, arriving sequentially and at high speed. Analysis must take place in real time, with partial data and without the capacity to store the entire data set. This book presents algorithms and techniques used in data stream mining and real-time analytics. Taking a hands-on approach, the book demonstrates the techniques using MOA (Massive Online Analysis), a popular, freely available open-source software framework, allowing readers to try out the techniques after reading the explanations. The book first offers a brief introduction to the topic, covering big data mining, basic methodologies for mining data streams, and a simple example of MOA. More detailed discussions follow, with chapters on sketching techniques, change, classification, ensemble methods, regression, clustering, and frequent pattern mining. Most of these chapters include exercises, an MOA-based lab session, or both. Finally, the book discusses the MOA software, covering the MOA graphical user interface, the command line, use of its API, and the development of new methods within MOA. The book will be an essential reference for readers who want to use data stream mining as a tool, researchers in innovation or data stream mining, and programmers who want to create new algorithms for MOA.

Ensemble Machine Learning

Ensemble Machine Learning
Author: Cha Zhang,Yunqian Ma
Publsiher: Springer Science & Business Media
Total Pages: 332
Release: 2012-02-17
ISBN: 1441993258
Category: Computers
Language: EN, FR, DE, ES & NL

Ensemble Machine Learning Book Excerpt:

It is common wisdom that gathering a variety of views and inputs improves the process of decision making, and, indeed, underpins a democratic society. Dubbed “ensemble learning” by researchers in computational intelligence and machine learning, it is known to improve a decision system’s robustness and accuracy. Now, fresh developments are allowing researchers to unleash the power of ensemble learning in an increasing range of real-world applications. Ensemble learning algorithms such as “boosting” and “random forest” facilitate solutions to key computational issues such as face recognition and are now being applied in areas as diverse as object tracking and bioinformatics. Responding to a shortage of literature dedicated to the topic, this volume offers comprehensive coverage of state-of-the-art ensemble learning techniques, including the random forest skeleton tracking algorithm in the Xbox Kinect sensor, which bypasses the need for game controllers. At once a solid theoretical study and a practical guide, the volume is a windfall for researchers and practitioners alike.

GPU Computing and Applications

GPU Computing and Applications
Author: Yiyu Cai,Simon See
Publsiher: Springer
Total Pages: 280
Release: 2014-11-20
ISBN: 9812871349
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

GPU Computing and Applications Book Excerpt:

This book presents a collection of state of the art research on GPU Computing and Application. The major part of this book is selected from the work presented at the 2013 Symposium on GPU Computing and Applications held in Nanyang Technological University, Singapore (Oct 9, 2013). Three major domains of GPU application are covered in the book including (1) Engineering design and simulation; (2) Biomedical Sciences; and (3) Interactive & Digital Media. The book also addresses the fundamental issues in GPU computing with a focus on big data processing. Researchers and developers in GPU Computing and Applications will benefit from this book. Training professionals and educators can also benefit from this book to learn the possible application of GPU technology in various areas.