LEADER 02674nam 22006373 450 001 9910987992403321 005 20240915090226.0 010 $a9781040165034 010 $a1040165036 010 $a9781003530459 010 $a1003530451 010 $a9781040165065 010 $a1040165060 035 $a(MiAaPQ)EBC31466995 035 $a(Au-PeEL)EBL31466995 035 $a(CKB)35068372400041 035 $a(EXLCZ)9935068372400041 100 $a20240915d2024 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aEnergy Efficiency and Robustness of Advanced Machine Learning Architectures $eA Cross-Layer Approach 205 $a1st ed. 210 1$aMilton :$cCRC Press LLC,$d2024. 210 4$dİ2025. 215 $a1 online resource (361 pages) 225 1 $aChapman and Hall/CRC Artificial Intelligence and Robotics Series 311 08$a9781032855509 311 08$a1032855509 327 $aHardware and software optimizations for capsule networks -- Adversarial security threats for DNNs and CapsNets -- Inetration and of multiple and design objectives into NAS frameworks for CapsNets and DNNs -- Efficient optimizations for spiking neural networks on neuromorphic hardware -- Security threats for SNNs on discrete and event-based data. 330 $aThis book tackles these challenges by exploiting the unique features of advanced ML models and investigates cross-layer concepts and techniques to engage both hardware and software-level methods to build robust and energy-efficient architectures for these advanced ML networks. 410 0$aChapman and Hall/CRC Artificial Intelligence and Robotics Series 606 $aDeep learning (Machine learning) 606 $aNeural networks (Computer science) 606 $aRobust optimization 606 $aComputer network architectures 606 $aComputer networks$xEnergy consumption 606 $aComputer networks$xSecurity measures 615 0$aDeep learning (Machine learning) 615 0$aNeural networks (Computer science) 615 0$aRobust optimization. 615 0$aComputer network architectures. 615 0$aComputer networks$xEnergy consumption. 615 0$aComputer networks$xSecurity measures. 676 $a006.3/1 700 $aMarchisio$b Alberto$01800763 701 $aShafique$b Muhammad$0763589 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910987992403321 996 $aEnergy Efficiency and Robustness of Advanced Machine Learning Architectures$94345690 997 $aUNINA