Results 61 to 70 of about 13,836 (232)
Self‐powered chiral organic photodiodes function as polarization‐sensitive convolutional filters for circularly polarized light‐driven optical convolutional neural networks. This conceptually innovative architecture enables dynamic weight modulation, bias‐free operation, and exceptional noise resilience, boosting feature extraction fidelity from 0.15 ...
Lixuan Liu +9 more
wiley +1 more source
Sram v doživljanju pacienta in terapevta – psihoterapevtska obravnava sramu
Bulimija je tako kot druge motnje hranjenja, predvsem motnja v doživljanju sramu. Predstavljene tri pacientke sebe značilno doživljajo kot brezvredne, ogabne človeške kreature, ki so nemočno ujete v odvisnost od hrane.
Meta Kramar
doaj +1 more source
ABSTRACT Marine operations traditionally rely on human intervention, a costly and disruptive method. Autonomous surface vehicles (ASVs) offer a powerful alternative, capable of operating autonomously, for extended periods, and with various sensors for various missions.
Ayman El Qemmah +4 more
wiley +1 more source
High-performance dynamic feedback controlbased 8T SRAM using CNTFET technology [PDF]
Exploration of new materials and device technologies for integrated circuits has become essential due to the exponential growth in demand for highperformance, energy-efficient, and scalable computers. In light of their exceptional electrical and
Kumar Abhishek, Sharma Vipin Kumar
doaj +1 more source
Physical Unclonable Function Based on 3D‐NAND Flash Array Structure With Multi‐Chip Implementation
Physical unclonable function (PUF) based on a 3D‐NAND flash array is proposed, featuring a multi‐chip structure and a massive challenge–response pair (CRP) capacity. The presented utilizes intrinsic string current variations experimentally verified across eight fabricated 48 × 24 NAND flash arrays.
Hwiho Hwang +4 more
wiley +1 more source
M3D-MDA: New scratchpad memory for enhancing GPU performance and energy efficiency
Applications in various fields, such as deep learning and scientific computing, naturally exhibit data access patterns along both the row and column dimensions of static random access memory (SRAM).
Cong Thuan Do
doaj +1 more source
Bio‐inspired computing offers a route to highly energy‐efficient artificial intelligence. The unique physical properties of two‐dimensional (2D) materials can further enhance such computing approaches. This perspective highlights recent developments in 2D materials‐based neuromorphic devices and discusses future opportunities for integrating such novel
Jin Feng Leong +9 more
wiley +1 more source
A Bilayer Rare‐Earth/High‐κ Oxide Memristor for Energy‐Efficient Neuromorphic Intelligence
Interface‐engineered Gd2O3/HfO2 bilayer memristors demonstrate controlled filament formation, ultralow switching energy (∼13.56 pJ), and fast operation (∼350 ns) with a high ON/OFF ratio (∼107). The devices exhibit stable analog synaptic behavior and enable pattern recognition on Fashion‐MNIST, underscoring their promise for energy‐efficient ...
Hammad Ghazanfar +8 more
wiley +1 more source
Leakage Read Fault in Nanoscale SRAM: Analysis, Test and Diagnosis
In this paper we study the impact of leakage currents on the operation of SRAM memories fabricated using nanoscale technologies. We show how the leakage currents, flowing through the pass transistors of unselected cells, may affect the read operation ...
Girard, Patrick +4 more
core
Minimizing Test Power in SRAM through Reduction of Pre-charge Activity
In this paper we analyze the test power of SRAM memories and demonstrate that the full functional pre-charge activity is not necessary during test mode because of the predictable addressing sequence. We exploit this observation in order to minimize power
Girard, Patrick +11 more
core +1 more source

