Results 111 to 120 of about 116,333,106 (286)

Efficient In‐Hardware Matrix–Vector Multiplication and Addition Exploiting Bilinearity of Schottky Barrier Transistors Processed on Industrial FDSOI

open access: yesAdvanced Electronic Materials, EarlyView.
ABSTRACT Machine learning and Artificial Intelligence (AI) tasks have stretched traditional hardware to its limits. In‐hardware computation is a novel approach that aims to run complex operations, such as matrix–vector multiplication, directly at the device level for increased efficiency.
Juan P. Martinez   +10 more
wiley   +1 more source

On the Role of Preprocessing and Memristor Dynamics in Reservoir Computing for Image Classification

open access: yesAdvanced Electronic Materials, EarlyView.
ABSTRACT Reservoir computing (RC) is an emerging recurrent neural network architecture that has attracted growing attention for its low training cost and modest hardware requirements. Memristor‐based circuits are particularly promising for RC, as their intrinsic dynamics can reduce network size and parameter overhead in tasks such as time‐series ...
Rishona Daniels   +4 more
wiley   +1 more source

Experimental Demonstration of Temporally Aware Fault‐Tolerant Sensor Fusion Using Memristive Associative Learning

open access: yesAdvanced Electronic Materials, EarlyView.
In dynamic driving scenarios, the proposed approach ensures only temporally aligned sensor inputs to make driving decisions, preventing false activations. By enabling selective hardware‐level learning, it achieves fast, reliable responses under noisy conditions.
Kapil Bhardwaj   +4 more
wiley   +1 more source

Organic Electrochemical Transistors for Energy‐Autonomous Bioelectronics: Materials, Devices, and System Integration

open access: yesAdvanced Electronic Materials, EarlyView.
This review surveys organic electrochemical transistors as core building blocks for energy‐autonomous bio‐integrated electronics. We outline device physics, OMIEC materials, and electrolyte effects that enable sub‐volt, high‐gain operation, and discuss direct coupling with mechanical, thermal, and optical energy harvesters to realize battery‐free ...
Jonggeun Park   +3 more
wiley   +1 more source

The Design of a Low-Noise CMOS Image Sensor Using a Hybrid Single-Slope Analog-to-Digital Converter

open access: yesSensors
In this study, we describe a low-noise complementary metal-oxide semiconductor (CMOS) image sensor (CIS) with a 10/11-bit hybrid single-slope analog-to-digital converter (SS-ADC).
Hyun Seon Choo   +4 more
doaj   +1 more source

Radiation Tolerant 8 - bit Analog to Digital Converter with Successive Approximation [PDF]

open access: yes, 2019
This paper brings implementation of radiation tolerant 8-bit asynchronous analog to digital converter with successive approximation (SAR ADC) in 180 nm CMOS SoI ...
Vančura P.
core  

Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation

open access: yesAdvanced Intelligent Systems, EarlyView.
Ferroelectric and spintronic devices, relying on the control of polarization and magnetization, offer intrinsically fast, durable, energy‐efficient, and low‐latency building blocks for analog in‐memory computing. The hysteretic dynamics of an order parameter are leveraged to provide nonvolatile, multistate memory and nonlinear switching. Brain‐inspired
Dashiell Harrison   +4 more
wiley   +1 more source

A Compact Multijoint Finger Motion Sensing Module for Flexible Exoskeleton Applications

open access: yesAdvanced Intelligent Systems, EarlyView.
Addressing the motion estimation gap in underactuated wearable electronics, a highly integrated sensor alongside a customized readout circuit is proposed. Featuring a screen‐printed layout and optimized horseshoe geometry, this design establishes an optimal feedback mechanism for flexible hand exoskeletons while eliminating wiring clutter.
Huawei Zheng   +3 more
wiley   +1 more source

Single‐Step Analog In‐Memory Matrix Computation in Three‐Dimensional Circuits

open access: yesAdvanced Intelligent Systems, EarlyView.
A wooden model illustrates a 3D memristive array designed for single‐step kernel convolutions. It shows how two‐dimensional input data are mapped into the 3D array and convolved in parallel with stored kernels. Color‐coded connection points represent programmed memory‐element values, with each color corresponding to a specific kernel weight.
Alireza Jaberi Rad   +8 more
wiley   +1 more source

An 8-bit CMOS dynamic voltage reference analog-to-digital converter

open access: yes, 2016
In this project, an 8-bit asynchronous analog-to-digital converter (ADC) is introduced. The proposed ADC is designed to convert the continuous input signal ranging from 0 to 1V to 8 bits discrete output digital signal using 0.18 um CMOS technology ...
Li, Jingjing
core  

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