查看更多>>摘要：By a News Reporter-Staff News Editor at Network Daily News - Research findingson networks are discussed in a new report. According to news originating from the Chinese Academy ofSciences by NewsRx editors, the research stated, “As neural network inference demands are ever-increasingin intelligent applications, the performance optimization of model serving becomes a challenging problem.”Funders for this research include National Natural Science Foundation of China; China PostdoctoralScience Foundation; Institute of Computing Technology, Chinese Academy of Sciences.The news editors obtained a quote from the research from Chinese Academy of Sciences: “Dynamicbatching is an important feature of contemporary deep learning serving systems, which combines multiplerequests of model inference and executes them together to improve the system’s throughput. However, thebehavior characteristics of each part in deep neural network batching systems as well as their performanceimpact on different model structures are still unknown. In this paper, we characterize the batching systemby leveraging three representative deep neural networks on GPUs, performing a systematic analysis of theperformance effects from the request batching module, model slicing module, and stage reorchestratingmodule.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Network Daily News - Investigatorspublish new report on artificial neural networks. According to news reporting from Zhenjiang, People’sRepublic of China, by NewsRx journalists, research stated, “Salted duck eggs are a type of traditionalChinese pickled delicacy, and moisture and lipid content are important indexes for evaluating the qualityduring processing.”Our news reporters obtained a quote from the research from Jiangsu University: “This study used ahyperspectral imaging (HSI) system in conjunction with chemometrics to investigate the content changeand distribution of moisture and lipid during different salting stages of duck eggs. The HSI was used toobtain reflectance spectral information of salted duck eggs in the 432 961 nm wavelength range. To minimizethe noise in spectral signals, three preprocessing methods including Savitzky-Golay smoothing (SG),Gauss filter smoothing (Gauss), and standard normal variation (SNV) were used. The competitive adaptivereweighted sampling (CARS) was used to select the optimal wavelengths for predicting moisture and lipidcontent, and then the partial least squares regression (PLSR) and artificial neural network (ANN) methodswere used to predict moisture and lipid content quantitatively. Results showed that ANN model couldexhibited a better performance in predicting moisture and lipid content with coefficients of determinationof the protein moisture, yolk moisture and yolk lipid of 0.9306, 0.9552 and 0.8896 respectively. Finally,the ANN model was used to create a distribution map of moisture and lipid content in the profile of saltedduck eggs.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Network Daily News - A new studyon networks is now available. According to news reporting from Hefei, People’s Republic of China, byNewsRx journalists, research stated, “With the goal of promoting the development of myoelectric controltechnology, this paper focuses on exploring graph neural network (GNN) based robust electromyography(EMG) pattern recognition solutions.”Financial supporters for this research include National Natural Science Foundation of China.
查看更多>>摘要：By a News Reporter-Staff News Editor at Network Daily News - A new studyon Networks is now available. According to news reporting out of Yazd, Iran, by NewsRx editors, researchstated, “So far, various data-driven approaches have been presented to obtain channel state information(CSI) in millimeter wave multiple-input-multiple-output wireless networks. In almost all previous works,training and testing channels were assumed to have the same distribution, which may not be the case inpractice.”Our news journalists obtained a quote from the research from Yazd University, “In this article, weaddress this challenge by proposing a learning framework that is a combination of a recurrent neural network(RNN) model and a deep neural network (DNN) for estimating CSI in a dynamic wireless communicationenvironment. Furthermore, we use federated learning to train the learning-based channel estimation model.More specifically, we introduce a two-stage downlink pilot transmission procedure, where in the initial stage,long frame length downlink pilot signals are used to train the introduced RNN-DNN model. Followingthat, users will receive shorter-frame-length pilot signals that can be used for CSI estimation. To speed upthe training procedure of the proposed network, we first generate a pre-trained model and then modify itaccording to the collected data samples. Simulation results demonstrate that, when the channel distributionis unavailable, the proposed approach performs significantly better than the most recent channel estimationalgorithms in terms of estimation performance and computational complexity.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Network Daily News - Investigatorspublish new report on Engineering. According to news reporting originating in Beijing, People’s Republicof China, by NewsRx journalists, research stated, “As an essential passive component in modern wirelesscommunication systems, the design of high-frequency filters has become increasingly crucial. To achievethe target behavior specifications, traditional design methods are constrained by designers’ expertise orreliant on repetitive frequency sweeps using commercial software.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Network Daily News - Researchersdetail new data in Networks. According to news reporting out of Guangzhou, People’s Republic of China, byNewsRx editors, research stated, “In conventional chaotic communication schemes, the receivers mostly useenergy detection methods. However, due to the limitations of this detection method, the initial conditionindex chaos shift keying (CSK) scheme cannot work over the multipath Rayleigh fading channel.”Funders for this research include National Natural Science Foundation of China (NSFC), GuangdongBasic and Applied Basic Research Foundation, National Research Foundation, Singapore, Infocomm MediaDevelopment Authority under its Future Communications Research and Development Programme, InternationalCollaborative Research Program of Guangdong Science and Technology Department, IndustrialResearch and Development Project of Haoyang Electronic Company Ltd..
查看更多>>摘要：By a News Reporter-Staff News Editor at Network Daily News - Investigatorspublish new report on networks. According to news originating from Tamil Nadu, India, by NewsRxcorrespondents, research stated, “This study aims to analyze the finite-time stability performance of bothnon-delayed and delayed fractional-order neural networks.”Our news journalists obtained a quote from the research from Gandhigram Rural Institute (Deemed tobe University): “Our primary aim is to investigate the finite-time stability characteristics by introducing anovel inequality designed for estimating the settling time. This fresh inequality serves as the foundationfor establishing sufficient criteria, formulated as linear matrix inequalities, which guarantee the finite-timestability of both non-delayed and delayed fractional-order neural networks. Additionally, we underscorethe importance of incorporating comprehensive information regarding the lower and upper bounds of theactivation function, especially in the context of the proposed non-delayed model.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Network Daily News - New researchon Oncology-Breast Cancer is the subject of a report. According to news reporting out of Hunan, People’sRepublic of China, by NewsRx editors, research stated, “Current methods utilizing preoperative magneticresonance imaging (MRI)-based radiomics for assessing lymphovascular invasion (LVI) in patients withearly-stage breast cancer lack precision, limiting the options for surgical planning. This study aimed todevelop a sophisticated deep learning framework called ‘Prior Clinico-Radiological Features Informed Multi-Modal MR Images Convolutional Neural Network (PCMM-Net)’ to improve the accuracy of LVI predictionin breast cancer.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Network Daily News - Investigatorspublish new report on Computers-Cloud Computing. According to news reporting originating in Atlanta,Georgia, by NewsRx journalists, research stated, “For highly distributed environments such as edge computing,collaborative learning approaches eschew the dependence on a global, shared model, in favor ofmodels tailored for each location. Creating tailored models for individual learning contexts reduces theamount of data transfer, while collaboration among peers provides acceptable model performance.”
查看更多>>摘要：By a News Reporter-Staff News Editor at Network Daily News - A new studyon Networks is now available. According to news reporting out of Dresden, Germany, by NewsRx editors,research stated, “Recent research widely explored the quantization schemes on hardware. However, forrecent accelerators only supporting 8 bits quantization, such as Google TPU, the lower-precision inputs,such as 1/2-bit quantized neural network models in FINN, need to extend the data width to meet thehardware interface requirements.”Financial support for this research came from Center for Scalable Data Analytics and Artificial Intelligence(ScaDS.AI).
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