LEADER 01047cam0-2200349---450- 001 990005880360403321 005 20120423162823.0 010 $a958-695003-4 035 $a000588036 035 $aFED01000588036 035 $a(Aleph)000588036FED01 035 $a000588036 100 $a20000421d1998----km-y0itay50------ba 101 0 $aspa 102 $aCO 105 $a-f------001yy 200 1 $a<>dignidad del coraje$ftextos de Ramón de Zubiría$gedición de Camila Segura y Hernando Cabarcas 210 $aSantafé de Bogotá$cInstituto Caro y Cuervo$d1998 215 $a292 p., 15 tav.$d25 cm 225 1 $a<>alamo y el ciprés$v2 610 0 $aLetteratura$aAmerica latina 676 $a868.993 700 1$aZubiría,$bRamón : de$0387528 702 1$aCabarcas,$bHernando 702 1$aSegura,$bCamila 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990005880360403321 952 $a868.993 ZUB 1$bDip.f.m.10220$fFLFBC 959 $aFLFBC 996 $aDignidad del coraje$9161315 997 $aUNINA LEADER 01065nam a22002531i 4500 001 991002233079707536 005 20030528111643.0 008 030925s1876 it |||||||||||||||||ita 035 $ab1226054x-39ule_inst 035 $aARCHE-030813$9ExL 040 $aBiblioteca Interfacoltà$bita$cA.t.i. Arché s.c.r.l. Pandora Sicilia s.r.l. 082 04$a945.7 100 1 $aDel Giudice, Giuseppe$06182 245 13$aIl giudizio e la condanna di Corradino :$bosservazioni critiche e storiche /$cdi Giuseppe Del Giudice con note e documenti 260 $aNapoli :$bStamperia della regia Università,$c1876 300 $a151 p. ;$c30 cm 600 04$aCorradino$c$xStoria 651 4$aRegno di Sicilia. 1130-1815$xSec. 13.$xStoria 907 $a.b1226054x$b02-04-14$c08-10-03 912 $a991002233079707536 945 $aLE002 Misc. I L 2/12$g1$iLE002-24771$lle002$o-$pE0.00$q-$rn$so $t0$u0$v0$w0$x0$y.i12650882$z08-10-03 996 $aGiudizio e la condanna di Corradino$9152104 997 $aUNISALENTO 998 $ale002$b08-10-03$cm$da $e-$fita$git $h3$i1 LEADER 06075nam 22007335 450 001 9910574048803321 005 20251202161926.0 010 $a3-030-92525-0 024 7 $a10.1007/978-3-030-92525-3 035 $a(MiAaPQ)EBC7007422 035 $a(Au-PeEL)EBL7007422 035 $a(CKB)23520615200041 035 $aEBL7007422 035 $a(AU-PeEL)EBL7007422 035 $a(PPN)269148450 035 $a(OCoLC)1327848270 035 $a(DE-He213)978-3-030-92525-3 035 $a(EXLCZ)9923520615200041 100 $a20220531d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aNeuromorphic Computing Principles and Organization /$fby Abderazek Ben Abdallah, Khanh N. Dang 205 $a1st ed. 2022. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2022. 215 $a1 online resource (260 pages) 225 1 $aComputer Science Series 300 $aDescription based upon print version of record. 311 08$aPrint version: Ben Abdallah, Abderazek Neuromorphic Computing Principles and Organization Cham : Springer International Publishing AG,c2022 9783030925246 320 $aIncludes bibliographical references and index. 327 $a1 Introduction to Neuromorphic Computing Systems -- 2 Neuromorphic System Design Fundamentals -- 3 Learning in Neuromorphic Systems -- 4 Emerging Memory Devices for Neuromorphic Systems -- 5 Communication Networks for Neuromorphic Systems -- 6 Fault-Tolerant Neuromorphic System Design -- 7 Reconfigurable Neuromorphic Computing System -- 8 Case Study: Real Hardware-Software Design of 3D-NoC-based Neuromorphic System -- 9 Survey of Neuromorphic Systems. 330 $aThis book focuses on neuromorphic computing principles and organization and how to build fault-tolerant scalable hardware for large and medium scale spiking neural networks with learning capabilities. In addition, the book describes in a comprehensive way the organization and how to design a spike-based neuromorphic system to perform network of spiking neurons communication, computing, and adaptive learning for emerging AI applications. The book begins with an overview of neuromorphic computing systems and explores the fundamental concepts of artificial neural networks. Next, we discuss artificial neurons and how they have evolved in their representation of biological neuronal dynamics. Afterward, we discuss implementing these neural networks in neuron models, storage technologies, inter-neuron communication networks, learning, and various design approaches. Then, comes the fundamental design principle to build an efficient neuromorphic system in hardware. The challenges that need to be solved toward building a spiking neural network architecture with many synapses are discussed. Learning in neuromorphic computing systems and the major emerging memory technologies that promise neuromorphic computing are then given. A particular chapter of this book is dedicated to the circuits and architectures used for communication in neuromorphic systems. In particular, the Network-on-Chip fabric is introduced for receiving and transmitting spikes following the Address Event Representation (AER) protocol and the memory accessing method. In addition, the interconnect design principle is covered to help understand the overall concept of on-chip and off-chip communication. Advanced on-chip interconnect technologies, including si-photonic three-dimensional interconnects and fault-tolerant routing algorithms, are also given. The book also covers the main threats of reliability and discusses several recovery methods for multicore neuromorphic systems. This is important for reliable processing in several embedded neuromorphic applications. A reconfigurable design approach that supports multiple target applications via dynamic reconfigurability, network topology independence, and network expandability is also described in the subsequent chapters. The book ends with a case study about a real hardware-software design of a reliable three-dimensional digital neuromorphic processor geared explicitly toward the 3D-ICs biological brain?s three-dimensional structure. The platform enables high integration density and slight spike delay of spiking networks and features a scalable design. We present methods for fault detection and recovery in a neuromorphic system as well. Neuromorphic Computing Principles and Organization is an excellent resource for researchers, scientists, graduate students, and hardware-software engineers dealing with the ever-increasing demands on fault-tolerance, scalability, and low power consumption. It is also an excellent resource for teaching advanced undergraduate and graduate students about the fundamentals concepts, organization, and actual hardware-software design of reliable neuromorphic systems with learning and fault-tolerance capabilities. 410 0$aComputer Science Series 606 $aMicroprocessors 606 $aComputer architecture 606 $aDatabase management 606 $aArtificial intelligence 606 $aComputational intelligence 606 $aProcessor Architectures 606 $aDatabase Management System 606 $aArtificial Intelligence 606 $aComputational Intelligence 615 0$aMicroprocessors. 615 0$aComputer architecture. 615 0$aDatabase management. 615 0$aArtificial intelligence. 615 0$aComputational intelligence. 615 14$aProcessor Architectures. 615 24$aDatabase Management System. 615 24$aArtificial Intelligence. 615 24$aComputational Intelligence. 676 $a006.32 676 $a006.32 700 $aBen Abdallah$b Abderazek$01058506 702 $aDang$b Khanh N. 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910574048803321 996 $aNeuromorphic computing principles and organization$92994031 997 $aUNINA