Results 61 to 70 of about 55,876 (211)

Low-power adiabatic 9T static random access memory

The Journal of Engineering, 2014
In this paper, the authors propose a novel static random access memory (SRAM) that employs the adiabatic logic principle. To reduce energy dissipation, the proposed adiabatic SRAM is driven by two trapezoidal-wave pulses.
Yasuhiro Takahashi, Nazrul Anuar Nayan, Toshikazu Sekine, Michio Yokoyama   +3 more
doaj   +1 more source

Neuromorphic Denoising with Fully Analog Memristive In‐Memory Computing

Advanced Intelligent Systems, EarlyView.
This article borrows the concepts of episodic memory in human brains to experimentally implement a memristor‐based neuromorphic denoising process. A homogeneous memristor processing unit is experimentally demonstrated for both temporal storage and neural network computation, imitating the synapses in the human brain.
Daijing Shi, Teng Zhang, Yuqi Li, Yaoyu Tao, Bonan Yan, Yuchao Yang   +5 more
wiley   +1 more source

Minimizing Test Power in SRAM through Reduction of Pre-charge Activity

, 2006
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
AL-HASHIMI, B. M., DILILLO, L., GIRARD, P., ROSINGER, P.   +3 more
core   +3 more sources

Lead‐free inorganic halide perovskite‐based synaptic memory for next generation neuromorphic computing

InfoMat, EarlyView.
Lead‐free inorganic halide perovskites enable resistive switching synaptic devices capable of mimicking biological learning and multimodal information processing, offering a promising platform for next‐generation neuromorphic computing and artificial intelligence hardware. Abstract Inorganic halide perovskites (IHPs) have emerged as promising materials
Subhasish Chanda, Deepak Kumar, Iman Biswas, Manisha Sharma, Youngmin Lee, Sejoon Lee, Sanjeev Kumar Sharma, Aniruddha Mondal   +7 more
wiley   +1 more source

A RRAM Integrated 4T SRAM with Self-Inhibit Resistive Switching Load by Pure CMOS Logic Process

Nanoscale Research Letters, 2017
This paper reports a novel full logic compatible 4T2R non-volatile static random access memory (nv-SRAM) featuring its self-inhibit data storing mechanism for in low-power/high-speed SRAM application.
Meng-Yin Hsu, Chu-Feng Liao, Yi-Hong Shih, Chrong Jung Lin, Ya-Chin King   +4 more
doaj   +1 more source

Intrinsic chiroptical responsivity in self‐powered organic photodiodes for polarization‐tunable optical convolution

InfoMat, EarlyView.
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, Weilong Huang, Feihong Zhu, Yongjie Cai, Xiaolong Li, Yang Yang, Xiao Ma, Zhixiang Wei, Wei Chen, Huipeng Chen   +9 more
wiley   +1 more source

Opportunities for 2D‐Material‐Based Multifunctional Devices and Systems in Bioinspired Neural Networks

Small, EarlyView.
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, Maheswari Sivan, Jieming Pan, Zihang Fang, Jianan Li, Zefeng Xu, Shi Zhao, Quanzhen Wan, Evgeny Zamburg, Aaron Voon‐Yew Thean   +9 more
wiley   +1 more source

Modular Acquisition and Stimulation System for Timestamp-Driven Neuroscience Experiments

, 2015
Dedicated systems are fundamental for neuroscience experimental protocols that require timing determinism and synchronous stimuli generation. We developed a data acquisition and stimuli generator system for neuroscience research, optimized for recording ...
A Rokem, DL Spavieri Jr., DM Bolzon, I Nemenman, JS Malik, L Brochini, LOB Almeida de, MS Lewicki, W Meeus   +8 more
core   +1 more source

A Bilayer Rare‐Earth/High‐κ Oxide Memristor for Energy‐Efficient Neuromorphic Intelligence

Small, EarlyView.
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, Muhammad Rabeel, Honggyun Kim, Sobia Nisar, Muhammad Wajid Zulfiqar, Muneeb Ahmad, Rana Faryad Ali, Ghulam Dastgeer, Deok‐kee Kim   +8 more
wiley   +1 more source

M3D-MDA: New scratchpad memory for enhancing GPU performance and energy efficiency

ETRI Journal
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