Results 81 to 90 of about 2,153 (243)

Toward Capacitive In‐Memory‐Computing: A Device to Systems Level Perspective on the Future of Artificial Intelligence Hardware

open access: yesAdvanced Intelligent Discovery, EarlyView.
Capacitive, charge‐domain compute‐in‐memory (CIM) stores weights as capacitance,eliminating DC sneak paths and IR‐drop, yielding near‐zero standbypower. In this perspective, we present a device to systems level performance analysis of most promising architectures and predict apathway for upscaling capacitive CIM for sustainable edge computing ...
Kapil Bhardwaj   +2 more
wiley   +1 more source

Further Results on Resistance Distance and Kirchhoff Index in Electric Networks

open access: yesDiscrete Dynamics in Nature and Society, 2016
In electric circuit theory, it is of great interest to compute the effective resistance between any pairs of vertices of a network, as well as the Kirchhoff index.
Qun Liu, Jia-Bao Liu, Jinde Cao
doaj   +1 more source

Resistance Distance and Kirchhoff Index of $Q$ -Double Join Graphs

open access: yesIEEE Access, 2019
Let Q(G) be the graph derived from G by inserting a new vertex into every edge of G and by connecting edges of these new vertices that are on adjacent edges of G, and Q-double join of G, G1 and G2 denoted by GQ v{G1, G2}, is the graph derived from Q(G ...
Weizhong Wang, Tingyan Ma, Jia-Bao Liu
doaj   +1 more source

Neuromorphic Photonic Processing and Memory With Spiking Resonant Tunneling Diode Neurons and Neural Networks

open access: yesAdvanced Intelligent Systems, EarlyView.
This work shows resonant tunneling diode‐based opto‐electronic spiking neurons enabling fast edge detection in time series, a two‐layer photonic spiking neural network for complex classification, and a depth‐tunable photonic spiking memory system. Neuromorphic computing—modeled after the functionality and efficiency of biological neural systems—offers ...
Dafydd Owen‐Newns   +8 more
wiley   +1 more source

Review of Memristors for In‐Memory Computing and Spiking Neural Networks

open access: yesAdvanced Intelligent Systems, EarlyView.
Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari   +2 more
wiley   +1 more source

Ferroelectric Tunnel Junction Memristor Crossbar Array with Annealing Optimization for In‐Memory Computing

open access: yesAdvanced Intelligent Systems, EarlyView.
A 48 × 48 ferroelectric tunnel junction (FTJ) crossbar array is fabricated and optimized through postmetallization annealing, enabling stable polarization switching and reliable multilevel conductance programming. Half‐bias operation, accurate vector–matrix multiplication with less than 1% error, and CIFAR‐10 image classification with near‐software ...
Sangwook Youn, Hwiho Hwang, Hyungjin Kim
wiley   +1 more source

Resistance Distance and Kirchhoff Index of Generalized Subdivision-Vertex and Subdivision-Edge Corona for Graphs

open access: yesIEEE Access, 2019
Let G be a connected graph. The subdivision graph S(G) of a graph (G) is the graph obtained by inserting a new vertex into every edge of G. The set of such new vertices is denoted by I(G).
Qun Liu
doaj   +1 more source

Hybrid Convolutional Neural Network‐Analytical Model for Prediction of Line Edge Roughness‐Induced Performance Variations in Fin‐Shaped Field‐Effect Transistor Devices and SRAM

open access: yesAdvanced Intelligent Systems, EarlyView.
This work presents a hybrid model for predicting the electrical characteristics of fin‐shaped field‐effect transistor devices and SRAM with line edge roughness. The model consists of a convolutional neural network (CNN) and an analytical model that simulates the electrical characteristics of transistors using the outputs of CNN, enabling fast and ...
Jaehyuk Lim   +4 more
wiley   +1 more source

The resistance distance and the Kirchhoff index of the k -th semi total point graphs [PDF]

open access: yesTransactions on Combinatorics, 2015
The k -th semi total point graph R^k (G) of a graph G , is a graph obtained from G by adding k vertices corresponding to each edge and connecting them to endpoint of edge considered.
Denglan Cui, Yaoping Hou
doaj  

Device‐Level Implementation of Reservoir Computing With Memristors

open access: yesAdvanced Intelligent Systems, EarlyView.
Reservoir computing (RC) is an emerging computing scheme that employs a reservoir and a single readout layer, which can be actualized in the nanoscale with memristors. As a comprehensive overview, the principles of RC and the switching mechanisms of memristors are discussed, followed by actual demonstrations of memristor‐based RC and the remaining ...
Sunbeom Park, Hyojung Kim, Ho Won Jang
wiley   +1 more source

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