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Record Nr. |
UNINA9910765538903321 |
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Autore |
Yi Yang |
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Titolo |
Neuromorphic Computing / / Yang Yi, Hongyu An |
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Pubbl/distr/stampa |
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London : , : IntechOpen, , 2023 |
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ISBN |
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Descrizione fisica |
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1 online resource (296 pages) |
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Disciplina |
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Soggetti |
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Neural networks & fuzzy systems |
Neural networks (Neurobiology) |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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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. |
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Sommario/riassunto |
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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 |
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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. |
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