Isbn: 9798337377803 - emerging hybrid models for neuromorphic ai and quantum computing (8 resultados)

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Condición: New.

Paperback. Condición: New.

Paperback. Condición: New.

Paperback. Condición: new. Paperback. As artificial intelligence (AI) systems confront the limits of classic computing, emerging models that integrate neuromorphic AI with quantum computing create a compelling path forward. Neuromorphic tools inspire the dynamics of the human brain, while quantum computing promises speedups for certain classes of complex optimization and probabilistic problems. By uniting these models, hybrid neuromorphic-quantum models aim to overcome efficiency and learning constraints that challenge each approach in isolation. Emerging Hybrid Models for Neuromorphic AI and Quantum Computing explores two technological revolutions, AI, powered by intricate networks of artificial neurons, and quantum computing, which harnesses the counterintuitive principles of quantum mechanics. It examines the future of computation within sophisticated hybrid models. Covering topics such as AI, quantum computing, and hybrid models, this book is an excellent resource for software developers, technology developers, business organizations, academicians, researchers, and graduate students. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Taschenbuch. Condición: Neu. Emerging Hybrid Models for Neuromorphic AI and Quantum Computing | Surbhi Bhatia Khan (u. a.) | Taschenbuch | Englisch | 2026 | IGI GLOBAL SCIENTIFIC PUBLISHING | EAN 9798337377803 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. …

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - As artificial intelligence (AI) systems confront the limits of classic computing, emerging models that integrate neuromorphic AI with quantum computing create a compelling path forward. Neuromorphic tools inspire the dynamics of the human brain, while quantum computing promises speedups for certain classes of complex optimization and probabilistic problems. By uniting these models, hybrid neuromorphic-quantum models aim to overcome efficiency and learning constraints that challenge each approach in isolation. Emerging Hybrid Models for Neuromorphic AI and Quantum Computing explores two technological revolutions, AI, powered by intricate networks of artificial neurons, and quantum computing, which harnesses the counterintuitive principles of quantum mechanics. It examines the future of computation within sophisticated hybrid models. Covering topics such as AI, quantum computing, and hybrid models, this book is an excellent resource for software developers, technology developers, business organizations, academicians, researchers, and graduate students.…