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    <title>Brain-like Super Intelligence from Bio-electromagnetism</title>
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    <namePart>Bandyopadhyay, Anirban.</namePart>
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    <namePart>Ray, Kanad.</namePart>
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    <dateIssued encoding="marc">2024</dateIssued>
    <edition>1st ed. 2024.</edition>
    <issuance>monographic</issuance>
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    <extent>XIV, 349 p. 172 illus., 92 illus. in color. online resource.</extent>
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  <abstract>This book discusses various aspects of bioinspired technologies but with an additional emphasis on the medical science, starting from the popular article on neurobiology to pure biophysics that ends with the superintelligence of biological systems that could be reverse engineered. It covers eight different aspects of natural intelligence, starting from the fundamental electromagnetic properties of a protein to the vibrations and the resonance of the entire biomaterial system. It also covers a wide spectrum of hierarchical communication among different biological systems for intelligence and then medical science is applied.</abstract>
  <tableOfContents>Chapter 1: Exploring the Possibility of Non-local Communication in Human Beings: an Empirical Test of the Information Field Hypothesis -- Chapter 2: HI Applications for ADHD Children: The Graphic Design Perspective -- Chapter 3: Relationship between Intelligence and Universal Consciousness -- Chapter 4: A Genre of Cognitive Evolutions Through Artificial Superintelligence and Robotics Technology -- Chapter 5: Probing the electromagnetic interaction in the protein -- Chapter 6: Revisiting self-operating mathematical universe (SOMU) as a theory for Artificial General Intelligence, AGI and G+ consciousness.</tableOfContents>
  <note type="statement of responsibility">edited by Anirban Bandyopadhyay, Kanad Ray.</note>
  <subject authority="lcsh">
    <topic>Computational intelligence</topic>
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  <subject authority="lcsh">
    <topic>Bioinformatics</topic>
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  <subject authority="lcsh">
    <topic>Artificial intelligence</topic>
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  <subject>
    <topic>Computational Intelligence</topic>
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  <subject>
    <topic>Bioinformatics</topic>
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  <subject>
    <topic>Artificial Intelligence</topic>
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  <classification authority="lcc">Q342</classification>
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    <titleInfo>
      <title>Studies in Rhythm Engineering</title>
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  <identifier type="isbn">9789819702329</identifier>
  <identifier type="uri">https://doi.org/10.1007/978-981-97-0232-9</identifier>
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