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Analog Coding in Emerging Memory Systems. [PDF]

Sci Rep, 2020
AbstractExponential growth in data generation and large-scale data science has created an unprecedented need for inexpensive, low-power, low-latency, high-density information storage. This need has motivated significant research into multi-level memory devices that are capable of storing multiple bits of information per device.
Zarcone RV, Engel JH, Burc Eryilmaz S, Wan W, Kim S, BrightSky M, Lam C, Lung HL, Olshausen BA, Philip Wong H-.   +9 more
europepmc   +5 more sources

A Survey of Emerging Memory in a Microcontroller Unit [PDF]

Micromachines
In the era of widespread edge computing, energy conservation modes like complete power shutdown are crucial for battery-powered devices, but they risk data loss in volatile memory.
Longning Qi, Jinqi Fan, Hao Cai, Ze Fang
doaj   +2 more sources

Comparing the phonological, musical, and general cognitive profiles of early-emerging poor, average, and good readers of Chinese [PDF]

Frontiers in Psychology
IntroductionThis study compared the phonological, musical, and general cognitive profiles of early-emerging poor, average, and good readers.MethodsWe assessed Cantonese preschool children on Chinese word reading, phonological awareness, lexical tone ...
William Choi, William Choi, William Choi, Alfredo Bautista, Siu-Hang Kong, Veronica Ka Wai Lai   +5 more
doaj   +2 more sources

BEOL Process Effects on ePCM Reliability

IEEE Journal of the Electron Devices Society, 2022
The effect of back-end of line (BEOL) process on cell performance and reliability of Phase-Change Memory embedded in a 28nm FD-SOI platform (ePCM) is discussed.
A. Redaelli, A. Gandolfo, G. Samanni, E. Gomiero, E. Petroni, L. Scotti, A. Lippiello, P. Mattavelli, J. Jasse, D. Codegoni, A. Serafini, R. Ranica, C. Boccaccio, J. Sandrini, R. Berthelon, J.-C. Grenier, O. Weber, D. Turgis, A. Valery, S. Del Medico, V. Caubet, J.-P. Reynard, D. Dutartre, L. Favennec, A. Conte, F. Disegni, M. De Tomasi, A. Ventre, M. Baldo, D. Ielmini, A. Maurelli, P. Ferreira, F. Arnaud, F. Piazza, P. Cappelletti, R. Annunziata, R. Gonella   +36 more
doaj   +1 more source

A Software-Circuit-Device Co-Optimization Framework for Neuromorphic Inference Circuits

IEEE Access, 2022
Neuromorphic circuits, which usually use analog computation for vector-matrix multiplication (VMM) in neural networks (NN), are promising machine learning accelerators with much lower latency and power consumption than digital ones. Analog computation is
Paul Quibuyen, Tom Jiao, Hiu Yung Wong
doaj   +1 more source

TCAD Simulation Studies on Ultra-Low-Power Non-Volatile Memory

Micromachines, 2023
Ultra-Low-Power Non-Volatile Memory (UltraRAM), as a promising storage device, has attracted wide research attention from the scientific community. Non-volatile data retention in combination with switching at ≤2.6 V is achieved through the use of the ...
Ziming Xu, Jinshun Bi, Mengxin Liu, Yu Zhang, Baihong Chen, Zijian Zhang   +5 more
doaj   +1 more source

Device Variation Effects on Neural Network Inference Accuracy in Analog In‐Memory Computing Systems

Advanced Intelligent Systems, 2022
In analog in‐memory computing systems based on nonvolatile memories such as resistive random‐access memory (RRAM), neural network models are often trained offline and then the weights are programmed onto memory devices as conductance values.
Qiwen Wang, Yongmo Park, Wei D. Lu
doaj   +1 more source

Emerging MXenes for Functional Memories [PDF]

Small Science, 2021
MXenes are a rapidly growing family of 2D materials. The composition, morphology, structure, surface chemistry, and structural configuration of MXenes directly affect their electrochemical performance. For example, when used as the source and drain electrodes in a transistor, MXenes provide increased chemically active interfaces, reduced ion diffusion ...
Yue Gong, Xuechao Xing, Yan Wang, Ziyu Lv, Ye Zhou, Su-Ting Han   +5 more
openaire   +3 more sources

Memory Devices for Flexible and Neuromorphic Device Applications

Advanced Intelligent Systems, 2021
Recently, consumer electronics have moved toward data‐centric applications due to the development of smart electronic devices. Moreover, electronic devices have become highly portable, wearable, and lightweight.
Dongshin Kim, Ik-Jyae Kim, Jang-Sik Lee
doaj   +1 more source

Emergence of memory [PDF]

Europhysics Letters (EPL), 2002
We propose a new self-organizing mechanism behind the emergence of memory in which temporal sequences of stimuli are transformed into spatial activity patterns. In particular, the memory emerges despite the absence of temporal correlations in the stimuli.
Klemm, Konstantin, Alstrøm, Preben
openaire   +3 more sources