Results 61 to 70 of about 9,355 (180)
An Energy-Efficient Digital ReRAM-Crossbar-Based CNN With Bitwise Parallelism
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, 2017 There is great attention to develop hardware accelerator with better energy efficiency, as well as throughput, than GPUs for convolutional neural network (CNN). The existing solutions have relatively limited parallelism as well as large power consumption
Leibin Ni +3 more
doaj +1 more source
High-Quality Single-Crystalline β-Ga2O3 Nanowires: Synthesis to Nonvolatile Memory Applications
Nanomaterials, 2021 One of the promising nonvolatile memories of the next generation is resistive random-access memory (ReRAM). It has vast benefits in comparison to other emerging nonvolatile memories.
Chandrasekar Sivakumar +5 more
doaj +1 more source
ReRAM technology; challenges and prospects
IEICE Electronics Express, 2012 We review recent progresses in Resistive Random Access Memory (ReRAM) technologies together with difficult challenges and prospects. ReRAM is one of the most promising emerging nonvolatile memories, in which both electronic and electrochemical effects play important roles in the nonvolatile functionalities.
Hiro Akinaga, Hisashi Shima
openaire +2 more sources
Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference
Advanced Electronic Materials, EarlyView.This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho +6 more
wiley +1 more source
Advanced Intelligent Systems, 2022 As the demands of big data applications and deep learning continue to rise, the industry is increasingly looking to artificial intelligence (AI) accelerators.
Fuxi Cai +10 more
doaj +1 more source
Highly Scalable Neuromorphic Hardware with 1-bit Stochastic nano-Synapses
, 2013 Thermodynamic-driven filament formation in redox-based resistive memory and the impact of thermal fluctuations on switching probability of emerging magnetic switches are probabilistic phenomena in nature, and thus, processes of binary switching in these ...
Kavehei, Omid, Skafidas, Efstratios
core +1 more source
RED: A ReRAM-based Deconvolution Accelerator [PDF]
2019 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2019 2019 Design, Automation & Test in Europe Conference & Exhibition (DATE)
Fan, Zichen +5 more
openaire +2 more sources
Flexible Memory: Progress, Challenges, and Opportunities
Advanced Intelligent Discovery, EarlyView.Flexible memory technology is crucial for flexible electronics integration. This review covers its historical evolution, evaluates rigid systems, proposes a flexible memory framework based on multiple mechanisms, stresses material design's role, presents a coupling model for performance optimization, and points out future directions.
Ruizhi Yuan +5 more
wiley +1 more source
Advanced Intelligent Systems, EarlyView.A volatile‐switching compact model of electrochemical metallization memory cells for neuromorphic architecture is developed and validated by reliable reproduction of device characterization measurements: I−V sweeps, SET kinetics, relaxation dynamics.
Rana Walied Ahmad +4 more
wiley +1 more source
Neuro-memristive Circuits for Edge Computing: A review
, 2018 The volume, veracity, variability, and velocity of data produced from the ever-increasing network of sensors connected to Internet pose challenges for power management, scalability, and sustainability of cloud computing infrastructure.
Chua, Leon O. +2 more
core +1 more source