The development of biotechnology, artificial intelligence, and neurotechnology has once again brought one of the great questions of our time to the forefront: what it means to be human in an age in which the body and mind can be modified through technology.
This book compiles cutting-edge research and practical innovations in the field of mechatronic systems, particularly focusing on autonomous robotics and intelligent systems.
This book compiles cutting-edge research and practical innovations in the field of mechatronic systems, particularly focusing on autonomous robotics and intelligent systems.
The Last Sorcerer and the First Scientist Isaac Newton's Search for the Universe's Hidden CodeIn July 1936, the auction house of Sotheby's offered for sale three hundred and twenty-nine lots of manuscripts that had spent two centuries locked away in an English country house.
This book presents an introduction to viscoelasticity; in particular, to the the- ories of dilute polymer solutions and melts, and dilute suspensions of rigid particles in viscous and incompressible fluids.
Since QCD is an ever growing area of physics, a number of sections in this third edition of the book have been expanded, in particular, those dealing with deep inelastic scattering.
Many-Body Problems and Quantum Field Theory introduces the concepts and methods of the topics on a level suitable for graduate students and researchers.
In the new edition, supplements, additional explanations and cross-references have been added at numerous places, including new formulations of some of the problems.
This book presents recent breakthroughs in the field of Learning-from-Observation (LfO) resulting from advancement in large language models (LLM) and reinforcement learning (RL) and positions it in the context of historical developments in the area.
This book presents recent breakthroughs in the field of Learning-from-Observation (LfO) resulting from advancement in large language models (LLM) and reinforcement learning (RL) and positions it in the context of historical developments in the area.
The essays in this topical volume inquire into one of the most fundamental issues of philosophy and of the cognitive and natural sciences: the riddle of time.
Neural Networks presents concepts of neural-network models and techniques of parallel distributed processing in a three-step approach: - A brief overview of the neural structure of the brain and the history of neural-network modeling introduces to associative memory, preceptrons, feature-sensitive networks, learning strategies, and practical applications.
Problems involving synthesis of mathematical models of various physical systems, making use of these models in practice and verifying them qualitatively has - come an especially important area of research since more and more physical - periments are being replaced by computer simulations.
Tensors and methods of differential geometry are very useful mathematical tools in many fields of modern physics and computational engineering including relativity physics, electrodynamics, computational fluid dynamics (CFD), continuum mechanics, aero and vibroacoustics and cybernetics.
The main goal of this book is to elucidate what kind of experiment must be performed in order to determine the full set of independent parameters which can be extracted and calculated from theory, where electrons, photons, atoms, ions, molecules, or molecular ions may serve as the interacting constituents of matter.
This book surveys the latest advances in radial basis function (RBF) meshless collocation methods which emphasis on recent novel kernel RBFs and new numerical schemes for solving partial differential equations.
This Brief presents an introduction to the theory of the renormalization group in the context of quantum field theories of relevance to particle physics.
This thesis shows how a combination of analytic and numerical techniques, such as a time dependent and finite temperature Density Matrix Renormalization Group (DMRG) technique, can be used to obtain the physical properties of low dimensional quantum magnets with an unprecedented level of accuracy.
This book has evolved from lectures devoted to applications of the Wentzel - Kramers - Brillouin- (WKB or quasi-classical) approximation and of the method of 1/N -expansion for solving various problems in atomic and nuclear physics.
As the applications of wavelet transform have spread to diverse areas of signal analysis and compression, students and practitioners need a practical introduction and overview.
This book presents tensors and differential geometry in a comprehensive and approachable manner, providing a bridge from the place where physics and engineering mathematics end, and the place where tensor analysis begins.