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[null,"1.","Record Nr.",null,"UNISANNIOCAG0825000"]
[null,null,"Autore",null,"Anselmus : Cantuariensis <santo>"]
[null,null,"Titolo",null,"Â159: ÂS. Anselmi ex Beccensi abbate Cantuariensis archiepiscopi opera omnia nec non Eadmeri monachi Historia novorum et alia opuscula : tomus secundus / labore ac studio Gabrielis Gerberon ... ad mss. fidem expurgata et aucta ; accurante et denuo reconoscente J.-P. Migne"]
[null,null,"Pubbl/distr/stampa",null,"Parisiis : apud Garnier fratres editores  et J.-P. Migne successores, 1903"]
[null,null,"Edizione",null,"[Ed. nova]"]
[null,null,"Descrizione fisica",null,"1156 col. ; 28 cm"]
[null,null,"Collocazione",null,"BPPATROL.   B                       1"]
[null,null,"Lingua di pubblicazione",null,"Latino"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","In testa al front.:  Saeculum 12. annus 1109."]
[null,"2.","Record Nr.",null,"UNINA9910765538903321"]
[null,null,"Autore",null,"Yi Yang"]
[null,null,"Titolo",null,"Neuromorphic Computing / / Yang Yi, Hongyu An"]
[null,null,"Pubbl/distr/stampa",null,"London : , : IntechOpen, , 2023"]
[null,null,"ISBN",null,"1-80356-144-0"]
[null,null,"Descrizione fisica",null,"1 online resource (296 pages)"]
[null,null,"Disciplina",null,"612.82"]
[null,null,"Soggetti",null,"Neural networks & fuzzy systems"]
[{"$nulls":4},"Neural networks (Neurobiology)"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"1. End-to-End Benchmarking of Chiplet-Based In-Memory Computing -- 2. Implementation of Associative Memory Learning in Mobile Robots Using Neuromorphic Computing -- 3. Study of RRAM-Based Binarized Neural Networks Inference Accelerators Using an RRAM Physics-Based Compact Model -- 4. Enabling Neuromorphic Computing for Artificial Intelligence with Hardware-Software Co-Design -- 5. Neuromorphic Computing between Reality and Future Needs -- 6. A Study of the Comparison between Artificial Neural Networks, Logistic Regression and Similarity Weighted Instance-Based Learning in Modeling and Predicting Trends in Deforestation -- 7. Spiking Neural Encoding and Hardware Implementations for Neuromorphic Computing -- 8. Cortical Columns Computing Systems: Microarchitecture Model, Functional Building Blocks, and Design Tools -- 9. Artificial Intelligence Approaches for Studying the pp Interactions at High Energy Using Adaptive Neuro-Fuzzy Interface System -- 10. Study of Approaches to Predict Personality Using Digital Twin -- 11. Scaling Subspace-Driven Approaches Using Information Fusion."]
[null,null,null,"Sommario/riassunto","Dive into the cutting-edge world of and #60;i and #62;Neuromorphic Computing and #60;/i and #62;, a groundbreaking volume that unravels the secrets of brain-inspired computational paradigms. Spanning neuroscience, artificial intelligence, and hardware design, this book presents a comprehensive exploration of neuromorphic systems, empowering both experts and newcomers to embrace the limitless potential of brain-inspired computing. Discover the fundamental principles that underpin neural computation as we journey through the origins of neuromorphic architectures, meticulously crafted to mimic "]
[{"$nulls":4},"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."]