Ariel Fernández

Topological Dynamics in Metamodel Discovery with Artificial Intelligence (eBook, ePUB)

From Biomedical to Cosmological Technologies

• Format: ePub

Produktbeschreibung

Dealing with artificial intelligence, this book delineates AI's role in model discovery for dynamical systems. With the implementation of topological methods to construct metamodels, it engages with levels of complexity and multi-scale hierarchies hitherto considered off limits for data science.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 228
• Erscheinungstermin: 21. Dezember 2022
• Englisch
• ISBN-13: 9781000806472
• Artikelnr.: 65984692

Autorenporträt

Ariel Fernández is an Argentine-American physical chemist and mathematician. He obtained a Ph. D. degree in Chemical Physics from Yale University and held the Hasselmann Endowed Chair Professorship in Bioengineering at Rice University until his retirement. To date, he has published over 400 scientific papers in professional journals including PNAS, Nature, Nature Biotechnology, Physical Review Letters, Genome Research and Genome Biology. Fernández has also authored five books on biophysics and molecular medicine and holds several patents on technological innovation. Since 2018 Fernández heads the Daruma Institute for Applied Intelligence, the research arm of AF Innovation, a Consultancy based in Argentina and the USA.

Inhaltsangabe

Preface. About the Author. Part I Fundamentals. Chapter 1 Artificial
Intelligence and Dynamical Systems. Chapter 2 Topological Methods for
Metamodel Discovery with Artificial Intelligence. Part II Applications.
Chapter 3 Artificial Intelligence Reverse-Engineers In Vivo Protein
Folding. Chapter 4 The Drug-Induced Protein Folding Problem: Metamodels for
Dynamic Targeting. Chapter 5 Targeting Protein Structure in the Absence of
Structure: Metamodels for Biomedical Applications. Chapter 6 Autoencoder as
Quantum Metamodel of Gravity: Toward an AI-Based Cosmological Technology.
Epilogue. Appendix. INDEX.