https://repositorio.cetys.mx/handle/60000/2002| 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;Quantum computing;Machine learning;Optimization;Deep learning;Agricultural produce inspection;Infrastructure monitoring;Big Data;Quantum neural networks;Type-2;Algorithms research;Theory and applications;Quantum algorithms;Medical imaging;Fuzzy systems;Science in astronomy;Diagnostics;Artificial intelligence;Type-3 |
| 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 : | 9783031856143 |
| ISSN : | 1860-949X |
| Aparece en las colecciones: | Libros |
Este ítem está protegido por copyright original |
Este ítem está sujeto a una licencia Creative Commons Licencia Creative Commons
