Topological Dynamics in Metamodel Discovery with Artificial Intelligence
portes grátis
Topological Dynamics in Metamodel Discovery with Artificial Intelligence
From Biomedical to Cosmological Technologies
Fernandez, Ariel
Taylor & Francis Ltd
12/2022
210
Dura
Inglês
9781032366326
15 a 20 dias
Descrição não disponível.
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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
machine learning;AI;applied mathematics;applied physics;computational;biomolecular;model discovery;deep learning;neural networks;differential equations;auto-encoders;vivo protein;atomistic MD;AlphaFold;drug design;Persistent Homology;Drug Target Complex;PDGFR Kinase;Intrinsic Disorder Propensity;Disorder Propensities;Vivo Protein Folding;Drug Target Associations;American Chemical Society;HAE;Convolutional Kernel;Stochastic Gradient Descent;Quotient Space;Rest Energy;Dl Neural Network;Induced Folding;QG;Trainable Variables;ER Bridge;BHB;JNK Inhibition;Hidden Variables;Atomistic MD Simulation;PDB Structure;Intramolecular Hydrogen Bond Formation
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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
machine learning;AI;applied mathematics;applied physics;computational;biomolecular;model discovery;deep learning;neural networks;differential equations;auto-encoders;vivo protein;atomistic MD;AlphaFold;drug design;Persistent Homology;Drug Target Complex;PDGFR Kinase;Intrinsic Disorder Propensity;Disorder Propensities;Vivo Protein Folding;Drug Target Associations;American Chemical Society;HAE;Convolutional Kernel;Stochastic Gradient Descent;Quotient Space;Rest Energy;Dl Neural Network;Induced Folding;QG;Trainable Variables;ER Bridge;BHB;JNK Inhibition;Hidden Variables;Atomistic MD Simulation;PDB Structure;Intramolecular Hydrogen Bond Formation
