This book is designed for data scientists and machine learning engineers who are keen to dive deep into the complexities of deep learning.
Readers will explore quantum kernel methods, quantum neural networks, and quantum Transformers, gaining insight into their theoretical foundations, performance advantages, and practical implementations.
This book focusses on geospatial techniques, climate science, and predicting risk applications and challenges. It bridges the gap between the principles of geographic information science (GIS), remote sensing technology, global positioning system (GPS), and machine learning.
Cybersecurity in the Big Data Era is a fascinating look at the invisible fight going on under our networked lives. In a world where every heartbeat of society is mirrored in digital code, this book shows us how to protect ourselves.
In a global landscape shaped by technology, artificial intelligence (AI) is emerging as a disruptive force, redefining the very essence of governance. This... Læs mere
This unique volume reviews the latest advances in domain adaptation in the training of machine learning algorithms for visual understanding, offering valuable insights from an international selection of experts in the field.
This thesis represents one of the most comprehensive and in-depth studies of the use of Lorentz-boosted hadronic final state systems in the search for signals of Supersymmetry conducted to date at the Large Hadron Collider.
This book describes the recent innovation of deep in-memory architectures for realizing AI systems that operate at the edge of energy-latency-accuracy trade-offs.