Results 161 to 170 of about 25,251 (300)

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

Next-generation reservoir computing based on memristor array [PDF]

open access: diamond, 2022
Kuan Ren   +4 more
openalex   +1 more source

Investigation of Analog Memristor Characteristics for Hardware Synaptic Weight in Multilayer Neural Network

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The systematic design of memristor‐based neural network is provided by analog conductance state parameters to accurately emulate the software‐based high‐resolution weight at discrete device level. The requirement of discrete analog conductance of memristor device is measured as ≈50 states with nonlinearity value of ≈0.142 within the deviation range of ...
Jingon Jang, Yoonseok Song, Sungjun Park
wiley   +1 more source

Spikoder: Dual‐Mode Graphene Neuron Circuit for Hardware Intelligence

open access: yesAdvanced Intelligent Systems, EarlyView.
Spikoder, a graphene leaky integrate‐and‐fire circuit that operates as an encoder and a neuron in a spiking neural network (SNN), is introduced. A Spikoder‐driven double‐layer SNN shows an accuracy of 97.37% for the classification of the Modified National Institute of Standards and Technology dataset, demonstrating its potential as a key building block
Kannan Udaya Mohanan   +4 more
wiley   +1 more source

Cryogenic Neuromorphic Synaptic Behavior in 180 nm Silicon Transistors for Emerging Computing Systems

open access: yesAdvanced Intelligent Systems, EarlyView.
This study investigates the neuromorphic plasticity behavior of 180 nm bulk complementary metal oxide semiconductor (CMOS) transistors at cryogenic temperatures. The observed hysteresis data reveal a signature of synaptic behavior in CMOS transistors at 4 K.
Fiheon Imroze   +8 more
wiley   +1 more source

All-Printed Flexible Memristor with Metal–Non-Metal-Doped TiO2 Nanoparticle Thin Films [PDF]

open access: gold, 2022
Maryam Khan   +5 more
openalex   +1 more source

Fully CMOS‐Compatible 3‐T Embedded NOR Flash Memory Achieving 28 ns Long‐Term Potentiation/Long‐Term Depression for High‐Speed Online Training Accelerators

open access: yesAdvanced Intelligent Systems, EarlyView.
A fully complementary metal–oxide–semiconductor process‐compatible novel 3‐T embedded NOR flash is demonstrated on a 28 nm fully depleted silicon‐on‐insulator platform. The proposed memory achieves record‐fast 28‐long‐term potentiation and depression , offering high‐speed and highly reliable synaptic behavior for online training in neuromorphic ...
Jae Seung Woo   +4 more
wiley   +1 more source

Real‐Time and Rapid Dynamic Missile Identification Utilizing a TiOx Memristor Array

open access: yesAdvanced Intelligent Systems, EarlyView.
Real‐time missile target identification is demonstrated using an artificial intelligence model based on step‐weighted long–short‐term memory networks and a TiOx memristor array. The approach classifies five projectile types with enhanced early‐stage prediction through data augmentation and custom training strategies. Achieving 94.4% accuracy, the model
Mingyu Kim, Gwanyeong Park, Gunuk Wang
wiley   +1 more source

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