Neuromorphic Computing / / Yang Yi, Hongyu An
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| Autore: |
Yi Yang
|
| Titolo: |
Neuromorphic Computing / / Yang Yi, Hongyu An
|
| Pubblicazione: | London : , : IntechOpen, , 2023 |
| Descrizione fisica: | 1 online resource (296 pages) |
| Disciplina: | 612.82 |
| Soggetto topico: | Neural networks & fuzzy systems |
| Neural networks (Neurobiology) | |
| Persona (resp. second.): | AnHongyu |
| Nota di contenuto: | 1. End-to-End Benchmarking of Chiplet-Based In-Memory Computing -- 2. Implementation of Associative Memory Learning in Mobile Robots Using Neuromorphic Computing -- 3. Study of RRAM-Based Binarized Neural Networks Inference Accelerators Using an RRAM Physics-Based Compact Model -- 4. Enabling Neuromorphic Computing for Artificial Intelligence with Hardware-Software Co-Design -- 5. Neuromorphic Computing between Reality and Future Needs -- 6. A Study of the Comparison between Artificial Neural Networks, Logistic Regression and Similarity Weighted Instance-Based Learning in Modeling and Predicting Trends in Deforestation -- 7. Spiking Neural Encoding and Hardware Implementations for Neuromorphic Computing -- 8. Cortical Columns Computing Systems: Microarchitecture Model, Functional Building Blocks, and Design Tools -- 9. Artificial Intelligence Approaches for Studying the pp Interactions at High Energy Using Adaptive Neuro-Fuzzy Interface System -- 10. Study of Approaches to Predict Personality Using Digital Twin -- 11. Scaling Subspace-Driven Approaches Using Information Fusion. |
| Sommario/riassunto: | Dive into the cutting-edge world of and #60;i and #62;Neuromorphic Computing and #60;/i and #62;, a groundbreaking volume that unravels the secrets of brain-inspired computational paradigms. Spanning neuroscience, artificial intelligence, and hardware design, this book presents a comprehensive exploration of neuromorphic systems, empowering both experts and newcomers to embrace the limitless potential of brain-inspired computing. Discover the fundamental principles that underpin neural computation as we journey through the origins of neuromorphic architectures, meticulously crafted to mimic the brain s intricate neural networks. Unlock the true essence of learning mechanisms - unsupervised, supervised, and reinforcement learning - and witness how these innovations are shaping the future of artificial intelligence. |
| Titolo autorizzato: | Neuromorphic Computing |
| ISBN: | 1-80356-144-0 |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910765538903321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |