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Information Storage [electronic resource] : A Multidisciplinary Perspective /

Contributor(s): Material type: TextTextPublisher: Cham : Springer International Publishing : Imprint: Springer, 2020Edition: 1st ed. 2020Description: XV, 238 p. 85 illus., 47 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783030192624
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 006.3 23
LOC classification:
  • Q334-342
  • TA347.A78
Online resources:
Contents:
Information Processing and Storage in the Brain -- Verbal Short-Term Memory: Insights into Human Information Storage -- In-Memory Computing: The Integration of Storage and Processing -- Approximate Memory: Data Storage in the Context of Approximate Computing -- Information System for Storage, Management and Usage for Embodied Intelligent Systems -- On ‘Storing Information' in Families: (Mediated) Family Memory at the Intersection of Individual and Collective Remembering -- Cultural Memory and Screen Culture: How Television and Cross-media Productions Contribute to Cultural Memory -- The Complicated Preservation of the Television Heritage in a Digital Era.
In: Springer Nature eBookSummary: This book examines some of the underlying processes behind different forms of information management, including how we store information in our brains, the impact of new technologies such as computers and robots on our efficiency in storing information, and how information is stored in families and in society. The editors brought together experts from a variety of disciplines. While it is generally agreed that information reduces uncertainties and that the ability to store it safely is of vital importance, these authors are open to different meanings of “information”: computer science considers the bit as the information block; neuroscience emphasizes the importance of information as sensory inputs that are processed and transformed in the brain; theories in psychology focus more on individual learning and on the acquisition of knowledge; and finally sociology looks at how interpersonal processes within groups or society itself come to the fore. The book will beof value to researchers and students in the areas of information theory, artificial intelligence, and computational neuroscience.
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Information Processing and Storage in the Brain -- Verbal Short-Term Memory: Insights into Human Information Storage -- In-Memory Computing: The Integration of Storage and Processing -- Approximate Memory: Data Storage in the Context of Approximate Computing -- Information System for Storage, Management and Usage for Embodied Intelligent Systems -- On ‘Storing Information' in Families: (Mediated) Family Memory at the Intersection of Individual and Collective Remembering -- Cultural Memory and Screen Culture: How Television and Cross-media Productions Contribute to Cultural Memory -- The Complicated Preservation of the Television Heritage in a Digital Era.

This book examines some of the underlying processes behind different forms of information management, including how we store information in our brains, the impact of new technologies such as computers and robots on our efficiency in storing information, and how information is stored in families and in society. The editors brought together experts from a variety of disciplines. While it is generally agreed that information reduces uncertainties and that the ability to store it safely is of vital importance, these authors are open to different meanings of “information”: computer science considers the bit as the information block; neuroscience emphasizes the importance of information as sensory inputs that are processed and transformed in the brain; theories in psychology focus more on individual learning and on the acquisition of knowledge; and finally sociology looks at how interpersonal processes within groups or society itself come to the fore. The book will beof value to researchers and students in the areas of information theory, artificial intelligence, and computational neuroscience.

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