1st Edition
Topological Dynamics in Metamodel Discovery with Artificial Intelligence From Biomedical to Cosmological Technologies
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.
Biography
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.
