Results 91 to 100 of about 31,720 (268)

Parametric Analysis of Spiking Neurons in 16 nm Fin Field‐Effect Transistor Technology

Advanced Intelligent Discovery, EarlyView.
Energy efficient computing has driven a shift toward brain‐inspired neuromorphic hardware. This study explores the design of three distinct silicon neuron topologies implemented in 16 nm fin field‐Effect transistor technology. While the Axon‐Hillock design achieves gigahertz throughput, its functional fragility persists. The Morris–Lecar model captures
Logan Larsh, Raiyan Siddique, Sarah S. Sharif, Yaser Mike Banad   +3 more
wiley   +1 more source

A Memristor‐Based In‐Memory Computing System‐on‐Chip with Efficient Depthwise Convolution

Advanced Intelligent Systems, EarlyView.
We present a memristor‐based in‐memory computing (IMC) architecture that enables efficient depthwise convolution (DWC) acceleration. Fabricated in a system‐on‐chip with crossbar arrays, the design improves memory utilization. Experimental validation demonstrates the first hardware acceleration of DWC in IMC, achieving a digital comparable inference ...
Wenhao Song, Fuxi Cai, Sangsu Park, Zhaoyan Li, Seonghun Lee, Mingyi Rao, Woohyung Choi, Seungin Shin, Yan Zhu, Sujin Chae, Myoungsub Kim, Mingche Wu, Hyejung Choi, Yuan Dao, Jaeyun Yi, Youngman Cho, Seon Yong Cha, Ning Ge, Qiangfei Xia, Soo Gil Kim, Miao Hu, J. Joshua Yang   +21 more
wiley   +1 more source

User privacy prevention model using supervised federated learning‐based block chain approach for internet of Medical Things

CAAI Transactions on Intelligence Technology, EarlyView., 2023
Abstract This research focuses on addressing the privacy issues in healthcare advancement monitoring with the rapid establishment of the decentralised communication system in the Internet of Medical Things (IoMT). An integrated blockchain homomorphic encryption standard with an in‐build supervised learning‐based smart contract is designed to improvise ...
Chandramohan Dhasarathan, Mohammad Kamrul Hasan, Shayla Islam, Salwani Abdullah, Shailesh Khapre, Dalbir Singh, Abdulaziz A. Alsulami, Ali Alqahtani   +7 more
wiley   +1 more source

Physics‐Grounded Probabilistic Bits for Hardware‐Efficient Intelligent Inference and Optimization

Advanced Intelligent Systems, EarlyView.
Si–SiNx interface traps are harnessed as a complementary metal–oxide–semiconductor‐compatible source of controllable randomness for probabilistic bits. Pulse‐width‐programmed stochastic capture converts nanoscale defect dynamics into Boltzmann‐consistent binary outputs, while a physics‐based Simulation Program with Integrated Circuit Emphasis model ...
Dokyoung Lee, Jun‐Young Park, Joon‐Kyu Han, Sungho Kim   +3 more
wiley   +1 more source

Parallelizing Parallel Programs [PDF]

Proceedings of the ACM International Conference on Parallel Architectures and Compilation Techniques, 2020
Roberto Castañeda Lozano, Murray Cole, Björn Franke   +2 more
openaire   +1 more source

Energy‐Aware Perturbation Optimization for Memristor‐Array Convolutional Neural Networks

Advanced Intelligent Systems, EarlyView.
Memristor‐array inference becomes more energy efficient when layer inputs are reshaped before computation. Sinusoidal perturbation encoding with dual‐threshold screening reduces active voltage pulses and contracts ADC input‐current ranges, jointly lowering crossbar and peripheral energy while preserving accuracy across hardware MNIST validation, deep ...
Ao Xu, Lun Lu, Youpeng Wu, Yao Guo, Yi Li, Yinan Wang, Qingjiang Li   +6 more
wiley   +1 more source

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

Advanced 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, Koushik Kumar, Fatemeh Kiani, Yi Huang, Ali Abdel‐Maksoud, Zheshun Xiong, Yunzhi Ling, Wuyu Zhao, Qiangfei Xia   +8 more
wiley   +1 more source

An ant colony genetic fusion routing algorithm based on soft define network

IET Networks, EarlyView., 2022
Abstract Aiming at the problem that there are many paths in data forwarding in soft define network (SDN) network, and the optimal path is difficult to find, combined with the advantages of ant colony algorithm and Genetic algorithm (GA), a routing control strategy based on the ant colony genetic fusion algorithm is proposed.
Kaixin Zhao, Yong Wei, Yang Zhang
wiley   +1 more source

Sociodemographic Factors Associated with Hours Worked by Primary Carers in Australia

Australian Journal of Social Issues, EarlyView.
ABSTRACT Primary caregivers constitute a major unpaid workforce in Australia. The aim of this study was to determine the sociodemographic factors that are associated with carer workloads. Multinomial logistic regression modelling was applied to the nation‐wide Australian Government survey.
Andrew J. Hamilton
wiley   +1 more source

Analysis of energy expenditure and behavioral characteristics in different mouse strains under normal and disease conditions

Animal Models and Experimental Medicine, EarlyView.
Mouse metabolic and behavioral phenotypes are tightly linked to strain, age and disease state, with distinct dysregulation in each disease model, underscoring the need for standardized preclinical experimental conditions. Abstract Background Metabolic and behavioral traits in mice exhibit substantial variability across strains, ages, and disease states,
Jiacheng Zeng, Yuanjun Ji, Yan Zou, Jing Tan, Teng Wu, Conghui Shen, Tongsheng Huang, Shijie Xiong, Mengying Liu, Maoquan Yang, Jingwei Lai, Jiangwei Ma, Junhong Wan, Xinlu Fu, Jiang Qian, Hui Li, Ludong Yuan, Weibin Cai   +17 more
wiley   +1 more source