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The Resource Understanding Information : From the Big Bang to Big Data

Understanding Information : From the Big Bang to Big Data

Label
Understanding Information : From the Big Bang to Big Data
Title
Understanding Information
Title remainder
From the Big Bang to Big Data
Creator
Subject
Language
eng
Member of
Cataloging source
MiAaPQ
Literary form
non fiction
Nature of contents
dictionaries
Series statement
Advanced Information and Knowledge Processing
Understanding Information : From the Big Bang to Big Data
Label
Understanding Information : From the Big Bang to Big Data
Link
http://libproxy.rpi.edu/login?url=https://ebookcentral.proquest.com/lib/rpi/detail.action?docID=4926932
Publication
Copyright
Related Contributor
Related Location
Related Agents
Related Authorities
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Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • Preface -- Acknowledgements -- Contents -- Contributors -- Part I Introduction -- 1 From the Tannhäuser Gate to z8_GND_5296: A Day Trip on the Life-Cycle of Information -- 1.1 Introduction -- 1.2 From Caveman to Spaceman -- 1.3 Digits, Revolutions, and the Information Life-Cycle -- 1.3.1 The Information Life-Cycle -- 1.4 Data, Information, and Knowledge -- 1.4.1 Data -- 1.4.2 Information -- 1.4.3 Knowledge -- 1.5 Fundamental Information Life-Cycle Processes -- 1.5.1 Acquisition and Collection -- 1.5.2 Storage and Classification -- 1.5.3 Analysis and Manipulation -- 1.5.4 Retrieval, Dissemination, Usage, and Maintenance -- 1.6 Information Society -- 1.6.1 Decentralized Information Society -- 1.6.2 A Voice for Information Society -- 1.7 Summary -- References -- Part II The World of Large and Small Systems -- 2 Expanding Beyond the Solar System: Current Observation and Theory -- 2.1 Introduction -- 2.2 Observation of Extrasolar Planets -- 2.2.1 Radial Velocity Survey Detection -- 2.2.2 Transit Search Detection -- 2.2.3 Gravitational Microlensing Detection -- 2.2.4 Direct Detection -- 2.3 Characteristic of Extrasolar Planets -- 2.4 Planet Formation -- 2.4.1 Formation of a Protoplanetary Disk -- 2.4.2 Formation of Protoplanet -- 2.4.3 Formation of Gas Giant Planets -- 2.5 Data Processing for Extrasolar Planet Research -- 2.5.1 Data Acquisition -- 2.5.2 Data Management -- 2.5.3 Data Analysis -- 2.6 Summary -- References -- 3 Information in Quantum Theory -- 3.1 Introduction -- 3.2 Quantum Information Theory -- 3.3 Quantum Computation -- 3.4 Quantum Cryptography -- 3.5 Quantum Teleportation -- 3.6 Quantum Information -- 3.7 The Universe as a Quantum Computer -- 3.8 Summary -- References -- Part III The World of Living Things -- 4 The Potential of Plants and Seeds in DNA-Based Information Storage -- 4.1 Introduction -- 4.2 Materials and Methods
  • 4.2.1 DNA Basics -- 4.2.2 Coding Program -- 4.2.3 Code DNA Synthesis and Cloning -- 4.2.4 Plant Material -- 4.2.5 Plant Transformation -- 4.2.6 DNA Isolation and PCR Analysis -- 4.2.7 Sanger Sequencing -- 4.3 Results -- 4.3.1 Coding Program -- 4.3.2 Storing Data in N. Benthamiana and Reading Data from the Plant -- 4.4 Discussion -- 4.5 Summary -- References -- 5 Memory Processing in the Nervous System -- 5.1 Introduction -- 5.2 Physiological Basis of Memory -- 5.2.1 Neuron: The Unit of Information Codingand Processing -- 5.2.2 Synapse: The Principal Component of Memory -- 5.2.3 Neural Oscillations: Dynamics for Cooperation Among Neural Populations -- 5.3 Memory Classification -- 5.3.1 Development: Shaping the Basic Structure of the Nervous System -- 5.3.2 Short-Term and Working Memory -- 5.3.3 Long-Term Memory -- 5.3.3.1 Declarative Memory -- 5.3.3.2 Non-declarative Memory -- 5.4 The Arrival of Big Data to Neuroscience -- 5.4.1 Brain Structure Data -- 5.4.2 Database for Task-Related Brain Activation -- 5.4.3 Database of Computational Models -- 5.5 Conclusion -- References -- Part IV The World of Intelligent Machines and Finiteness -- 6 From Computing Machines to Learning Intelligent Machines: Chronological Development of Alan Turing's Thoughton Machines -- 6.1 Introduction -- 6.1.1 Related Work -- 6.2 How Can We Model Effective Computation by Human Caclulator? -- 6.2.1 The Entscheidungsproblem and Effective or Mechanical Procedure -- 6.2.2 Turing Machine in 1936: Computing Machine -- 6.2.3 Universal Computing Machine -- 6.2.4 Unsolvable Problems in Turing's 1936 Paper -- 6.2.5 How Did Turing Solve the Entscheidungsproblem Negatively? -- 6.3 From the Universal Computing Machine to Practical Computing Machines -- 6.3.1 Turing's Dissertation at Princeton: Oracle Machine -- 6.3.2 Turing and Practical Computing Machines
  • 6.4 Three Requirements for Intelligent Behavior of Machines at Lecture to the London Mathematical Society -- 6.5 Learning Process to Organize Intelligent Machinery -- 6.5.1 How to Obtain Machine with Discipline and Initiative -- 6.5.2 P-Type Machines -- 6.5.3 The Scope of P-Type Machines and Beyond -- 6.6 How Can We Construct an Intelligent Machine to Pass the Imitation Game? -- 6.6.1 The Imitation Game -- 6.6.2 Learning Process for Child Program -- 6.7 Conclusion -- References -- 7 Finite Information Agency -- 7.1 Introduction -- 7.2 Information Space Scenarios -- 7.2.1 Scenario 1 -- 7.2.2 Scenario 2 -- 7.2.3 Scenario 3 -- 7.3 Mathematical Modeling -- 7.4 Interpretations of Finite Information Spaces -- 7.4.1 The General Value of the Model -- 7.4.2 The Model from an Information Society and Evolutionary Point of View -- 7.4.3 The Model from a Computational Point of View -- 7.5 Summary -- References -- Part V The World of Networks, Clouds, and Big Data Processing -- 8 Distributed and Connected Information in the Internet -- 8.1 Introduction -- 8.2 Web Data -- 8.2.1 Web Data Format and Web Applications -- 8.2.2 Searching and Finding Data -- 8.2.3 Evaluating Information Retrieval Algorithms -- 8.3 Social Data -- 8.4 User Data -- 8.5 Text Data -- 8.6 Machine Data -- 8.7 Big Data -- 8.8 Linked Data -- 8.9 Summary -- References -- 9 Custom Hardware Versus Cloud Computing in Big Data -- 9.1 Introduction -- 9.2 Applications -- 9.2.1 Genomics and Proteomics -- 9.2.2 Digital Pathology -- 9.2.3 Self-Quantification -- 9.2.4 Surveillance -- 9.2.5 Internet-of-Things -- 9.2.6 Finance -- 9.3 Computational Challenges -- 9.4 High-Performance Computing Solutions -- 9.4.1 Graphics Processing Units (GPU) Computing -- 9.4.2 Field Programmable Gate Arrays -- 9.4.3 Cloud Computing Platforms -- 9.4.3.1 Amazon Web Services -- 9.4.3.2 Microsoft Azure
  • 9.4.4 Deep Learning Libraries -- 9.5 The Role for Custom Hardware -- 9.5.1 Deep Learning -- 9.5.2 ASIC Enhanced Cloud Platforms -- 9.5.3 ASIC Deep Learning Processors -- 9.6 Discussion -- References -- Part VI The World of Society and Philosophy -- 10 Information Overload in a Data-Intensive World -- 10.1 Introduction -- 10.2 Information Overload -- 10.2.1 General Characteristics of Information Overload -- 10.2.2 Information Overload in Business Environments -- 10.2.3 Information Overload in Everyday Life Information Seeking -- 10.2.4 The Role of Information Technology -- 10.2.5 Information Overload in the Data-Intensive World -- 10.3 Alleviating the Symptoms of Information Overload -- 10.3.1 Design and Information Architecture -- 10.3.2 Interacting with Information -- 10.3.2.1 Being Critical Against Information -- 10.3.2.2 Making Use of Varied Literacies -- 10.3.2.3 Applying Personal Information Management Tools -- 10.4 Discussion -- 10.5 Summary -- References -- 11 Causal/Informational Theories of Mental Content -- 11.1 Introduction -- 11.2 Natural vs. Non-natural Meaning -- 11.3 Isomorphism Plus Causation and Conditions of Fidelity -- 11.4 Information-Based Theories -- 11.5 Attack on Wisconsin Semantics -- 11.5.1 Contra Stampe -- 11.5.2 Contra Dretske -- 11.6 Dretske's Response: Indicator Function Account -- 11.7 Fodor's Asymmetrical Causal Dependency Theory of Meaning -- 11.8 Conclusion -- References -- Other Relevant Resources -- Index
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unknown
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{'f': 'http://opac.lib.rpi.edu/record=b4388676'}
Extent
1 online resource (242 pages)
Form of item
online
Isbn
9783319590905
Media category
computer
Media MARC source
rdamedia
Media type code
c
Sound
unknown sound
Specific material designation
remote

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