Results 91 to 100 of about 3,076,045 (348)

Multi‐Diseases Detection with Memristive System on Chip

Advanced Intelligent Systems, EarlyView.
A robust disease detection system, which is capable of the early prevention of acute myocardial infarction and the detection of liver cancer, is implemented on a memristive system‐on‐chip (SoC). A fully integrated SoC is utilized to ensure the system's portability, low latency, high accuracy, and energy efficiency for medical analysis.
Zihan Wang, Daniel W. Yang, Zerui Liu, Evan Yan, Heming Sun, Ning Ge, Miao Hu, Wei Wu   +7 more
wiley   +1 more source

Online Admission of Parallel Real-Time Tasks [PDF]

, 2015
6th Real-Time Scheduling Open Problems Seminar (RTSOPS 2015), Lund, Sweden.No abstract (2 page paper) Parallel real-time tasks can be assigned into a multiprocessor system in many different ways, with regards to the schedulability of the task ...
Maia, Cláudio, Nogueira, Luís, Pinho, Luís Miguel   +2 more
core  

Nanomechanical Systems for Reservoir Computing Applications

Advanced Intelligent Systems, EarlyView.
Nanoelectromechanical systems (NEMS) are known for their strong nonlinear response, which can be conducive for reservoir computing. In this work, the authors build an NEMS‐based reservoir and investigate the classification accuracy as a function of drive levels and operation points.
Enise Kartal, Yunus Selcuk, Humayun Ahmed, Batuhan E. Kaynak, M. Taha Yildiz, Ramazan Tufan Erdogan, Cenk Yanik, Mehmet Selim Hanay   +7 more
wiley   +1 more source

Scaling Monte Carlo Tree Search on Intel Xeon Phi

, 2015
Many algorithms have been parallelized successfully on the Intel Xeon Phi coprocessor, especially those with regular, balanced, and predictable data access patterns and instruction flows.
Herik, Jaap van den, Mirsoleimani, S. Ali, Plaat, Aske, Vermaseren, Jos   +3 more
core   +1 more source

Configurable Kernel Map Implementation in Memristor Crossbar for Convolution Neural Network

Advanced Intelligent Systems, EarlyView.
A configurable kernel map implementation using a memristor crossbar array is presented. The crossbar array area can be configured based on the number of read cycles per inference, which directly affects the inference speed. The algorithm underlying this scheme is described, and convolutional neural network operations are experimentally validated using ...
Gyeonghae Kim, Sangwook Youn, Jinwoo Park, Hyungjin Kim   +3 more
wiley   +1 more source

Elastic Scheduling for Parallel Real-Time Systems [PDF]

Leibniz Transactions on Embedded Systems, 2019
The elastic task model was introduced by Buttazzo et al.~in order to represent recurrent real-time workloads executing upon uniprocessor platforms that are somewhat flexible with regards to timing constraints.
Orr, James, Gill, Chris, Agrawal, Kunal, Li, Jing, Baruah, Sanjoy   +4 more
doaj   +1 more source

Bioinspired Fully On‐Chip Learning Implemented on Memristive Neural Networks

Advanced Intelligent Systems, EarlyView.
This work proposes a memristive neural network based on van der Waals ferroelectric memristors and contrastive Hebbian learning, enabling fully on‐chip learning. The system achieves over 98% accuracy in pattern recognition with low power consumption (0.321 nJ/image) and high robustness, paving the way for efficient, bioinspired neuromorphic computing ...
Zhixing Wen, Ge Wang, Xiao Luo, Lei Liang, Fan Yang, Xuemei Wang, Qiui Zhang, Jiangang Chen, Qing Liu, Fucai Liu   +9 more
wiley   +1 more source

Design of FPGA-Based Accelerator for Convolutional Neural Network under Heterogeneous Computing Framework with OpenCL

International Journal of Reconfigurable Computing, 2018
CPU has insufficient resources to satisfy the efficient computation of the convolution neural network (CNN), especially for embedded applications. Therefore, heterogeneous computing platforms are widely used to accelerate CNN tasks, such as GPU, FPGA ...
Li Luo, Yakun Wu, Fei Qiao, Yi Yang, Qi Wei, Xiaobo Zhou, Yongkai Fan, Shuzheng Xu, Xinjun Liu, Huazhong Yang   +9 more
doaj   +1 more source

Improving Long‐Term Glucose Prediction Accuracy with Uncertainty‐Estimated ProbSparse‐Transformer

Advanced Intelligent Systems, EarlyView.
Wearable devices collect blood glucose and other physiological data, which serve as inputs to the prediction model. After data embedding, a structure utilizing ProbSparse self‐attention and a one‐step generative head within a Transformer‐based model is introduced, which is concurrently designed for deployment on edge devices, enabling real‐time ...
Wei Huang, Ni Fan, Weiping Wang, Jinqiang Wang, Xiaojuan Qi, Shiming Zhang   +5 more
wiley   +1 more source

Real-time multi-task diffractive deep neural networks via hardware-software co-design

Scientific Reports, 2021
Deep neural networks (DNNs) have substantial computational requirements, which greatly limit their performance in resource-constrained environments.
Yingjie Li, Ruiyang Chen, Berardi Sensale-Rodriguez, Weilu Gao, Cunxi Yu   +4 more
doaj   +1 more source