Results 51 to 60 of about 1,314,055 (250)

Domain Wall Memory-Based Design of Deep Neural Network Convolutional Layers

IEEE Access, 2020
In the hardware implementation of deep learning algorithms such as, convolutional neural networks (CNNs) and binarized neural networks (BNNs), multiple dot products and memories for storing parameters take a significant portion of area and power ...
Jinil Chung, Woong Choi, Jongsun Park, Swaroop Ghosh   +3 more
doaj   +1 more source

FPGA Implementation of Keyword Spotting System Using Depthwise Separable Binarized and Ternarized Neural Networks

Sensors, 2023
Keyword spotting (KWS) systems are used for human–machine communications in various applications. In many cases, KWS involves a combination of wake-up-word (WUW) recognition for device activation and voice command classification tasks.
Seongwoo Bae, Haechan Kim, Seongjoo Lee, Yunho Jung   +3 more
doaj   +1 more source

Binarized Neural Networks

, 2016
We introduce a method to train Binarized Neural Networks (BNNs) - neural networks with binary weights and activations at run-time and when computing the parameters' gradient at train-time. We conduct two sets of experiments, each based on a different framework, namely Torch7 and Theano, where we train BNNs on MNIST, CIFAR-10 and SVHN, and achieve ...
Hubara, Itay, Soudry, Daniel, Yaniv, Ran El   +2 more
openaire   +2 more sources

Memristor crossbar array for binarized neural networks

AIP Advances, 2019
Memristor crossbar arrays were fabricated based on a Ti/HfO2/Ti stack that exhibited electroforming-free behavior and low device variability in a 10 x 10 array size.
Yong Kim, Won Hee Jeong, Son Bao Tran, Hyo Cheon Woo, Jihun Kim, Cheol Seong Hwang, Kyeong-Sik Min, Byung Joon Choi   +7 more
doaj   +1 more source

Lung X-ray Segmentation using Deep Convolutional Neural Networks on Contrast-Enhanced Binarized Images

Mathematics, 2020
Automatically locating the lung regions effectively and efficiently in digital chest X-ray (CXR) images is important in computer-aided diagnosis. In this paper, we propose an adaptive pre-processing approach for segmenting the lung regions from CXR ...
Hsin-Jui Chen, Shanq-Jang Ruan, Sha-Wo Huang, Yan-Tsung Peng   +3 more
doaj   +1 more source

ModuloNET: Neural Networks Meet Modular Arithmetic for Efficient Hardware Masking

Transactions on Cryptographic Hardware and Embedded Systems, 2021
Intellectual Property (IP) thefts of trained machine learning (ML) models through side-channel attacks on inference engines are becoming a major threat. Indeed, several recent works have shown reverse engineering of the model internals using such attacks,
Anuj Dubey, Afzal Ahmad, Muhammad Adeel Pasha, Rosario Cammarota, Aydin Aysu   +4 more
doaj   +1 more source

Partially Binarized Deep MUSIC for Multiple Target Angle Estimation Using Wireless Sensor Array Systems [PDF]

Journal of Electromagnetic Engineering and Science
In this paper, a partially binarized deep learning-based MUltiple SIgnal Classification (MUSIC) algorithm for estimating the angle-of-arrivals (AoAs) of multiple targets using wireless sensor array systems is proposed.
Jongsung Kang, Joonhyeon Jun, Jaehyun Park, Hyungju Kim, Byung Jang Jeong   +4 more
doaj   +1 more source

Smart Crop Growth Monitoring Based on System Adaptivity and Edge AI

IEEE Access, 2022
This work proposes a smart crop growth monitoring system that contains an adaptive cryptography engine to ensure the security of sensor data and an edge artificial intelligence (AI) based estimator to classify the pest and disease severity (PDS) of ...
Chun-Hsian Huang, Bo-Wei Chen, Yi-Jie Lin, Jia-Xuan Zheng   +3 more
doaj   +1 more source

Binarized Neural Network with Silicon Nanosheet Synaptic Transistors for Supervised Pattern Classification

Scientific Reports, 2019
In the biological neural network, the learning process is achieved through massively parallel synaptic connections between neurons that can be adjusted in an analog manner.
Sungho Kim, Bongsik Choi, Jinsu Yoon, Yongwoo Lee, Hee-Dong Kim, Min-Ho Kang, Sung-Jin Choi   +6 more
doaj   +1 more source

“Ghost” and Attention in Binary Neural Network

IEEE Access, 2022
As the memory footprint requirement and computational scale concerned, the light-weighted Binary Neural Networks (BNNs) have great advantages in limited-resources platforms, such as AIoT (Artificial Intelligence in Internet of Things) edge terminals ...
Ruimin Sun, Wanbing Zou, Yi Zhan
doaj   +1 more source