Results 81 to 90 of about 2,034 (261)

Lattice Disorder in CuI Enables Filament‐Free Transparent Memristors

Advanced Science, EarlyView.
Transparent Cu1‐xAgxI thin‐film memristors rely on internal ion transport to produce reversible resistive‐switching effects. Direct elemental characterizations observe obvious Cu and Ag redistribution driven by applied bias, proving mobile ions drive the device's resistive‐switching responses.
Yuzhao Ouyang, Ke Qu, Haonan Wang, Jianquan Liu, Wei Li, Zhuoran Ji, Jialin Yang, Qiuxiang Zhu, Zhenzhong Yang, Xiaodong Tang, Hui Peng, Bobo Tian, Chungang Duan, Chang Yang   +13 more
wiley   +1 more source

Temporally Correlated Stochastic Spiking Neural Networks Enabled by 2D Ferroelectric Synapse‐Neuron Integration

Advanced Science, EarlyView.
We demonstrate a stochastic spiking neural network by integrating an α‐ln2Se3/h‐BN/CIPS FeFET synapse with an Au/CIPS/Au neuron. Unlike conventional memoryless stochastic neurons, the proposed neuron generates stochastic spikes through the evolution of internal ferroelectric polarization states, giving rise to intrinsic temporal correlations and ...
Hanseo Jeon, Ui Do Ji, Sangmin Lee, Gihyeon Bhin, Chang Yong Park, Ji‐Sang Park, Byungchul Jang, Sungjoo Lee   +7 more
wiley   +1 more source

An Efficient Fuzzy Method for Handwritten Character Recognition

, 2004
The main challenge in handwritten character recognition involves the development of a method that can generate descriptions of the handwritten objects in a short period of time. Due to its low computational requirement, fuzzy logic is probably the most efficient method available for on-line character recognition.
Ranawana, R, Palade, V, Bandara, G
openaire   +2 more sources

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

Advanced 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, Duna Wattad, Ronny Ronen, David Saad, Shahar Kvatinsky   +4 more
wiley   +1 more source

VashaNet: An automated system for recognizing handwritten Bangla basic characters using deep convolutional neural network

Machine Learning with Applications
Automated character recognition is currently highly popular due to its wide range of applications. Bengali handwritten character recognition (BHCR) is an extremely difficult issue because of the nature of the script.
Mirza Raquib, Mohammad Amzad Hossain, Md Khairul Islam, Md Sipon Miah   +3 more
doaj   +1 more source

Oxygen‐Scavenging‐Driven Interlayer Engineering for Balancing Linearity and Retention in IGZO Synaptic Memristors

Advanced Electronic Materials, EarlyView.
Oxygen‐scavenging‐induced self‐formed interlayers regulate Schottky‐barrier modulation in IGZO memristors, producing a fundamental trade‐off between synaptic update linearity and retention. A preserved AlOx interlayer moderates voltage distribution and enables gradual, nearly linear conductance updates, whereas a soft‐broken SiO2 interlayer provides a ...
Jae Woo Lee, Dong Hyeop Shin, Seung Joo Myoung, Soohong Eo, Wonjung Kim, Seeun Lee, Changwook Kim, Junjong Lee, Yoon Jung Lee, Sung‐Jin Choi, Sungjun Kim, Dae Hwan Kim   +11 more
wiley   +1 more source

Predictable and Scalable Analog Matrix–Vector Multiplication in Memristor Crossbars via Closed‐Form Wire‐Resistance Compensation

Advanced Electronic Materials, EarlyView.
Wire resistance and sneak paths severely compromise the performance of large memristor crossbars. A predictive closed‐form distributed line‐resistance model, combined with a fourmatrix geometry‐averaging algorithm, eliminates these parasitic limitations.
Davide Rossetti, Yichun Xu, Ludovica Asselta, J. Joshua Yang, R. Stanley Williams, Fernando Corinto   +5 more
wiley   +1 more source

Kurdish standard EMNIST-like character dataset

Data in Brief
A dataset was created by collecting handwritten samples of distinct Kurdish characters. The dataset consists primarily of 58 characters, and approximately 3800 adult volunteers who are native Kurdish speakers participated in the collection process.
Hamsa D. Majeed, Goran Saman Nariman, Renas Sardar Azeez, Bawar Bilal Abdulqadir   +3 more
doaj   +1 more source

Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation

Advanced 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, Kevin Nadaud, Josquin Harrison, Guillaume F. Nataf, Laura Bégon‐Lours   +4 more
wiley   +1 more source

Historical birth records from 1896 to 1944 from the Basel maternity hospital, Switzerland, reveal significant obstetric selection pressures

The Anatomical Record, EarlyView.
Abstract Maternal and neonatal morbidity and mortality have declined dramatically during the last century. Historical data are therefore important sources to study the evolutionary selection pressures related to childbirth and how they have fluctuated over time.
Mirella Woodert, Guillermo Bravo Morante, Viktoria A. Krenn, Cédric Cordey, Nicole Torres‐Tamayo, Kaspar Staub, Nicole M. Webb, Martin Haeusler   +7 more
wiley   +1 more source