Neuromorphic Computing Principles Challenges by Acharya Puja (11 results)

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Taschenbuch. Condition: Neu. Neuromorphic Computing: Principles, Challenges, and Future Directions | Puja Acharya | Taschenbuch | Englisch | 2024 | LAP LAMBERT Academic Publishing | EAN 9786207471904 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.

paperback. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 60 pp. Englisch.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 60 pp. Englisch.

Condition: New. PRINT ON DEMAND.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The book begins with an introduction to the principles of neuromorphic computing, highlighting its inspiration from the structure and function of the human brain s neural networks. It discusses the key components of neuromorphic systems, including spiking n.

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The book begins with an introduction to the principles of neuromorphic computing, highlighting its inspiration from the structure and function of the human brain's neural networks. It discusses the key components of neuromorphic systems, including spiking neurons, synaptic connections, and event-driven processing, and explains how these elements contribute to the parallelism, low-power operation, and adaptability characteristic of biological neural networks. Building upon this foundation, the book explores the current challenges facing neuromorphic computing, with a particular focus on scalability, robustness, and the need for novel algorithms and programming paradigms. It discusses the limitations of existing neuromorphic hardware architectures and algorithms, and examines potential strategies for overcoming these challenges through interdisciplinary research, open collaboration, and innovative solutions. In addition to addressing the challenges, the book also explores the future directions of neuromorphic computing, highlighting emerging trends and promising research directions.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 60 pp. Englisch.

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The book begins with an introduction to the principles of neuromorphic computing, highlighting its inspiration from the structure and function of the human brain's neural networks. It discusses the key components of neuromorphic systems, including spiking neurons, synaptic connections, and event-driven processing, and explains how these elements contribute to the parallelism, low-power operation, and adaptability characteristic of biological neural networks. Building upon this foundation, the book explores the current challenges facing neuromorphic computing, with a particular focus on scalability, robustness, and the need for novel algorithms and programming paradigms. It discusses the limitations of existing neuromorphic hardware architectures and algorithms, and examines potential strategies for overcoming these challenges through interdisciplinary research, open collaboration, and innovative solutions. In addition to addressing the challenges, the book also explores the future directions of neuromorphic computing, highlighting emerging trends and promising research directions.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 60 pp. Englisch.

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The book begins with an introduction to the principles of neuromorphic computing, highlighting its inspiration from the structure and function of the human brain's neural networks. It discusses the key components of neuromorphic systems, including spiking neurons, synaptic connections, and event-driven processing, and explains how these elements contribute to the parallelism, low-power operation, and adaptability characteristic of biological neural networks. Building upon this foundation, the book explores the current challenges facing neuromorphic computing, with a particular focus on scalability, robustness, and the need for novel algorithms and programming paradigms. It discusses the limitations of existing neuromorphic hardware architectures and algorithms, and examines potential strategies for overcoming these challenges through interdisciplinary research, open collaboration, and innovative solutions. In addition to addressing the challenges, the book also explores the future directions of neuromorphic computing, highlighting emerging trends and promising research directions.