Artificial Intelligence for Digitising Industry Applications
This book provides in-depth insights into use cases implementing artificial intelligence (AI) applications at the edge. It covers new ideas, concepts, research, and innovation to enable the development and deployment...
0 like counts
434 pages
2024-10-21 Published
Manifold Learning
This Open Access book reviews recent theoretical and numerical developments in nonlinear model order reduction in continuum mechanics, being addressed to Master and PhD students, as well as to researchers,...
0 like counts
117 pages
2024-02-21 Published
Photonic Neural Networks with Spatiotemporal Dynamics
This open access book presents an overview of recent advances in photonic neural networks with spatiotemporal dynamics. The computing and implementation paradigms presented in this book are outcomes of interdisciplinary studies...
0 like counts
286 pages
2023-10-17 Published
The Science-Music Borderlands
Interdisciplinary essays on music psychology that integrate scientific, humanistic, and artistic ways of knowing in transformative ways. Researchers using scientific methods and approaches to advance our understanding of music and...
0 like counts
408 pages
2023-05-02 Published
Advancing Edge Artificial Intelligence
The intersection of AI, the Internet of Things (IoT) and edge computing has kindled the edge AI revolution that promises to redefine how we perceive and interact with the physical...
0 like counts
259 pages
2024-03-04 Published
Evolvability
Essays on evolvability from the perspectives of quantitative and population genetics, evolutionary developmental biology, systems biology, macroevolution, and the philosophy of science. Evolvability—the capability of organisms to evolve—wasn't recognized as...
0 like counts
448 pages
2023-06-27 Published
Machine Learning with Neural Networks
This modern and self-contained book offers a clear and accessible introduction to the important topic of machine learning with neural networks. In addition to describing the mathematical principles of the...
0 like counts
241 pages
2021-10-28 Published
The Principles of Deep Learning Theory
This textbook establishes a theoretical framework for understanding deep learning models of practical relevance. With an approach that borrows from theoretical physics, Roberts and Yaida provide clear and pedagogical explanations...
1 like counts
472 pages
2022-05-26 Published
Understanding Deep Learning
An authoritative, accessible, and up-to-date treatment of deep learning that strikes a pragmatic middle ground between theory and practice. Deep learning is a fast-moving field with sweeping relevance in today's...
0 like counts
496 pages
2023-12-05 Published
Evolution On Purpose
A unique exploration of teleonomy—also known as “evolved purposiveness”—as a major influence in evolution by a broad range of specialists in biology and the philosophy of science. The evolved purposiveness...
0 like counts
400 pages
2023-08-22 Published
No Heavenly Bodies
The compelling and little-known history of satellite communications that reveals the Soviet and Eastern European roles in the development of its infrastructure. Taking its title from Hannah Arendt's description of...
0 like counts
256 pages
2023-11-28 Published
From Geometry to Behavior
An overview of the mechanisms and evolution of spatial cognition, integrating evidence from psychology, neuroscience, cognitive science, and computational geometry. Understanding how we deal with space requires input from many...
0 like counts
328 pages
2024-01-23 Published