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010 a| 2023007109;

020 a| 9781003385950q| (ebook);

020 z| 9781032465548q| (hardback);

020 z| 9781032474045q| (paperback);

035 a| (WaSeSS)ssj0002916277;

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050 00 a| QB791.3;

082 00 a| 523.1/1260285632| 23/eng/20231012;

100 1 a| Fernández Stigliano, Ariel.?| UNAUTHORIZED;

245 10 a| Artificial Intelligence on dark matter and dark energyh| [electronic resource] :b| reverse engineering of the big bang /c| Ariel Fernández.;

250 a| First edition.;

260 a| Boca Raton :b| CRC Press,Taylor & Francis Group,c| 2024.;

300 a| 1 online resource.;

490 0 a| Chapman & Hall/CRC artificial intelligence and robotics series;

504 a| Includes bibliographical references and index.;

506 a| Available only to authorized users.;

520 a| "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"--c| Provided by publisher.;

538 a| Mode of access: World Wide Web;

588 a| Description based on print version record and CIP data provided by publisher.;

650 0 a| Dark matter (Astronomy)x| Data processing.=| ^A249806;

650 0 a| Dark energy (Astronomy)x| Data processing.=| ^A525667;

650 0 a| Standard model (Nuclear physics)x| Data processing.=| ^A316996;

655 0 a| Electronic books.=| ^A491897;

856 40 z| Full text available from eBooks on EBSCOhostu| https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=3630450&scope=site&custid=s5822723&authtype=ip,shib;

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998 a| 6741940;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 6741940-1001l| JNETm| JOYNERr| Ys| Yt| JNESSBKu| 7/15/2026x| EBOOKz| JERESOURCE;

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999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 6741940-3001l| MNETm| JMUSICr| Ys| Yt| MNESSBKu| 7/15/2026x| EBOOKz| JERESOURCE;

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

Author/creator	Fernández Stigliano, Ariel
Format	Electronic
Edition	First edition.
Publication Info	Boca Raton : CRC Press,Taylor & Francis Group, 2024.
Description	1 online resource.
Supplemental Content	Full text available from eBooks on EBSCOhost
Subjects	Dark matter (Astronomy)--Data processing. Dark energy (Astronomy)--Data processing. Standard model (Nuclear physics)--Data processing.

Series	Chapman & Hall/CRC artificial intelligence and robotics series
Abstract	"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.
Bibliography note	Includes bibliographical references and index.
Access restriction	Available only to authorized users.
Technical details	Mode of access: World Wide Web
Source of description	Description based on print version record and CIP data provided by publisher.
Issued in other form	Print version: Fernández Stigliano, Ariel. Artificial Intelligence on dark matter and dark energy First edition. Boca Raton : CRC Press, Taylor & Francis Group, 2024 9781032465548
Genre/form	Electronic books.
LCCN	2023007109
ISBN	9781003385950 (ebook)
ISBN	(hardback)
ISBN	(paperback)

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

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