Raman Research Institute Library OPAC

Raman Research Institute Library OPAC

Artificial Intelligence on dark matter and dark energy : reverse engineering of the big bang / Ariel Fernández.

By: Material type: TextTextSeries: Chapman & Hall/CRC artificial intelligence and robotics series | Chapman & Hall/CRC artificial intelligence and robotics seriesPublisher: Boca Raton : CRC Press,Taylor & Francis Group, 2024Edition: First editionDescription: xiii, 158 pagesContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
Subject(s): DDC classification:
  • 523.1/126028563 23
LOC classification:
  • QB791.3
Summary: "As we prod the cosmos at very large scales, basic tenets of physics seem to crumble under the weight of contradicting evidence. This book helps mitigate the crisis. It resorts to artificial intelligence for answers and describes the outcome of this quest in terms of an ur-universe, a quintessential compact multiply connected space that incorporates a fifth dimension to encode space-time as a latent manifold. The book is written for a broad readership. Prerequisites are minimal but a background in college math/physics/computer science is desirable. The book does not merely describe what is known about dark matter and dark energy but also provides readers with intellectual tools to engage in a quest for the deepest cosmological mystery"-- Provided by publisher.
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Item type Current library Call number Status Date due Barcode
Books Books Raman Research Institute Library 524.5 FER (Browse shelf(Opens below)) Available 30017

Includes bibliographical references and index.

"As we prod the cosmos at very large scales, basic tenets of physics seem to crumble under the weight of contradicting evidence. This book helps mitigate the crisis. It resorts to artificial intelligence for answers and describes the outcome of this quest in terms of an ur-universe, a quintessential compact multiply connected space that incorporates a fifth dimension to encode space-time as a latent manifold. The book is written for a broad readership. Prerequisites are minimal but a background in college math/physics/computer science is desirable. The book does not merely describe what is known about dark matter and dark energy but also provides readers with intellectual tools to engage in a quest for the deepest cosmological mystery"-- Provided by publisher.

Description based on print version record and CIP data provided by publisher.

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