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Título : Artificial Intelligence and Quantum Computing: Early Innovations. Volume 1
Autor : Montiel Ross, Oscar Humberto
Orozco Rosas, Ulises
Martínez Vargas, Anabel
Palabras clave : Computational Intelligence;Hybrid Classical-Quantum Algorithms Research;Quantum Computing in Medical Imaging;Machine Learning and AI Integration;Optimization with Quantum Algorithms;Deep Learning for Document Classification;AI in Agricultural Produce Inspection;Infrastructure Monitoring Using AI;Big Data Science in Astronomy;Quantum Neural Networks for Diagnostics;Type-2 and Type-3 Fuzzy Systems: Theory and Applications
Sede: Campus Tijuana
Fecha de publicación : sep-2025
Resumen : This book delves into how these transformative technologies are being integrated to revolutionize fields such as health care, infrastructure, and data security. In an era dominated by rapid advancements in technology, this book stands at the forefront of the intersection between AI and quantum computing. This book is an essential resource for researchers, engineers, and policymakers, providing both theoretical foundations and practical applications of AI and quantum computing. It is designed to inspire innovation and encourage the adoption of these technologies in solving some of the most pressing challenges of our time. This book is more than just a technical guide—it is a blueprint for the future, demonstrating the profound impact of these technologies on global health, sustainable infrastructure, and beyond. Dive into this pivotal work to understand how artificial intelligence and quantum computing are not only shaping our world but also paving the way for a brighter, more sustainable future.
Edición: 1ra. edición
URI : https://repositorio.cetys.mx/handle/60000/2002
ISBN : 978-3-031-85614-3
ISSN : 1860-949X
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