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检索条件"机构=Semiconductor Neural Network Intelligent Perception and Computing Technology"
61 条 记 录,以下是31-40 订阅
排序:
Optimizing FPGA-Based DCN Accelerator with On-Chip Dataflow Reordering and Serial-Parallel computing Array
Optimizing FPGA-Based DCN Accelerator with On-Chip Dataflow ...
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High Performance Big Data and intelligent Systems (HPBD&IS)
作者: Ming Zhang Jian Xu Jinzhong He Hong Qin AnnLab Institute of Semiconductors Chinese Academy of Sciences Beijing China Beijing Key Laboratory of Semiconductor Neural Network Intelligent Sensing and Computing Technology Beijing China College of Materials Science and Opto-Electronic Technology & School of Integrated Circuits University of Chinese Academy of Sciences Beijing China
Deep convolutional neural networks (DCNs) have recently experienced rapid development in the direction of lightweight and edge deployment. However, accelerators for DCNs face challenges in balancing computational and ...
来源: 评论
RLEPSO: Reinforcement learning based Ensemble particle swarm optimizer  4
RLEPSO: Reinforcement learning based Ensemble particle swarm...
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4th International Conference on Algorithms, computing and Artificial Intelligence, ACAI 2021
作者: Yin, Shiyuan Liu, Yi Gong, GuoLiang Lu, Huaxiang Li, Wenchang Institute of Semiconductors Chinese Academy of Sciences Beijing China Institute of Semiconductors Chinese Academy of Sciences University of Chinese Academy of Sciences China Academy of Sciences Brain Science and Intelligent Technology Excellence Innovation Center Beijing Key Laboratory of Semiconductor Neural Network Intelligent Sensing and Computing Technology Beijing China
Evolution is the driving force behind the evolution of biological intelligence. Learning is the driving force behind human civilization. The combination of evolution and learning can form an entire natural world. Now,... 详细信息
来源: 评论
Larger receptive Field and Context Information for Pose estimation:Larger Gaussian kernel  5
Larger receptive Field and Context Information for Pose esti...
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5th International Conference on High Performance Big Data and intelligent Systems, HDIS 2023
作者: Ma, Junxiao Yang, Kai Ke, Zunwang Wang, Gang Zhang, Yugui Cao, Fengcai Zhou, Qi Fei, Yang School of Information Beijing Forestry University Beijing100083 China CGNPC Uranium Industry Development Co. Ltd. Beijing100020 China School of Software Xinjiang University Urumqi830046 China School of Computing and Data Engineering NingboTech University Ningbo315100 China AnnLab Institute of Semiconductors Chinese Academy of Sciences Beijing100083 China Beijing Key Laboratory of Semiconductor Neural Network Intelligent Sensing and Computing Technology Beijing100083 China School of Integrated Circuits University of Chinese Academy of Sciences Beijing100049 China Co. Ltd Beijing100176 China School of Semiconductor Science and Technology South China Normal University GuangZhou510631 China
The field of pose estimation has a wide range of application prospects in various industries in the current era. With the continuous development of deep learning techniques, the effects in the field of human pose esti... 详细信息
来源: 评论
Deep Learning Strategies for Addressing Anomalous Exposure in Image Processing: The FARDBUNet Approach  5
Deep Learning Strategies for Addressing Anomalous Exposure i...
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5th International Conference on High Performance Big Data and intelligent Systems, HDIS 2023
作者: Zhou, Qi Yang, Kai Ke, Zunwang Wang, Gang Zhang, Yugui Jia, Yizhen Cao, Fengcai Ma, Junxiao Liu, Changlin Zhang, Kaijie Wu, Min School of Semiconductor Science and Technology South China Normal University GuangZhou510631 China CGNPC Uranium Industry Development Co. Ltd. Beijing100020 China School of Software Xinjiang University Urumqi830046 China School of Computing and Data Engineering NingboTech University Ningbo315100 China AnnLab Institute of Semiconductors Chinese Academy of Sciences Beijing100083 China Beijing Key Laboratory of Semiconductor Neural Network Intelligent Sensing and Computing Technology Beijing100083 China School of Integrated Circuits University of Chinese Academy of Sciences Beijing100049 China Co. Ltd Beijing100176 China School of Information Beijing Forestry University Beijing100083 China
In real-world scenarios, capturing scenes with excessive dynamic range often leads to the partial loss of highlight or dark area information due to irradiance variations and limitations in the capture capabilities of ... 详细信息
来源: 评论
Acq: Improving Generative Data-Free Quantization Via Attention Correction
SSRN
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SSRN 2023年
作者: Li, Jixing Guo, Xiaozhou Dai, Benzhe Gong, Guoliang Jin, Min Chen, Gang Mao, Wenyu Lu, Huaxiang Institute of Semiconductors Chinese Academy of Sciences Beijing100083 China University of Chinese Academy of Sciences Beijing100089 China Semiconductor Neural Network Intelligent Perception and Computing Technology Beijing Key Laboratory Beijing100083 China Materials and Optoelectronics Research Center University of Chinese Academy of Sciences Beijing100083 China College of Microelectronics University of Chinese Academy of Sciences Beijing China
Data-free quantization aims to achieve model quantization without accessing any authentic sample. It is significant in an application-oriented context involving data privacy. Converting noise vectors into synthetic sa... 详细信息
来源: 评论
DoctorGPT: A Large Language Model with Chinese Medical Question-Answering Capabilities
DoctorGPT: A Large Language Model with Chinese Medical Quest...
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High Performance Big Data and intelligent Systems (HPBD&IS)
作者: Wenqiang Li Lina Yu Min Wu Jingyi Liu Meilan Hao Yanjie Li AnnLab Institute of Semiconductors Chinese Academy of Sciences Beijing China School of Electronic Electrical and Communication Engineering & School of Integrated Circuits University of Chinese Academy of Sciences Beijing China Beijing Key Laboratory of Semiconductor Neural Network Intelligent Sensing and Computing Technology Beijing China
Large Language Models (LLMs) have made incredible strides recently in understanding and reacting to user intents. However, these models typically excel in English and have not been specifically trained for medical app...
来源: 评论
ACQ: Improving Generative Data-free Quantization Via Attention Correction
arXiv
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arXiv 2023年
作者: Li, Jixing Guo, Xiaozhou Dai, Benzhe Gong, Guoliang Jin, Min Chen, Gang Mao, Wenyu Lu, Huaxiang Institute of Semiconductors Chinese Academy of Sciences Beijing100083 China University of Chinese Academy of Sciences Beijing100049 China Semiconductor Neural Network Intelligent Perception and Computing Technology Beijing Key Laboratory Beijing100083 China Materials and Optoelectronics Research Center University of Chinese Academy of Sciences Beijing100049 China College of Microelectronics University of Chinese Academy of Sciences Beijing100049 China
Data-free quantization aims to achieve model quantization without accessing any authentic sample. It is significant in an application-oriented context involving data privacy. Converting noise vectors into synthetic sa... 详细信息
来源: 评论
Rec-Symnet: Symbolic network-Based Rectifiable Learning Framework for Symbolic Regression
SSRN
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SSRN 2023年
作者: Liu, Jingyi Li, Weijun Yu, Lina Wu, Min Sun, Linjun Li, Wenqiang Li, Yanjie Institute of Semiconductors Chinese Academy of Sciences Beijing100083 China Center of Materials Science and Optoelectronics Engineering School of Integrated Circuits University of Chinese Academy of Sciences Beijing100049 China Beijing Key Laboratory of Semiconductor Neural Network Intelligent Sensing and Computing Technology Beijing100083 China
Symbolic regression (SR) can be utilized to unveil the underlying mathematical expressions that describe a given set of observed data. At present, SR can be categorized into two methods: learning-from-scratch and lear... 详细信息
来源: 评论
Fitting Curves with Fractional Implicit Polynomials: A PSO-Assisted Monomial Combination Optimization Framework
Fitting Curves with Fractional Implicit Polynomials: A PSO-A...
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Artificial Intelligence technology (ACAIT), Asian Conference on
作者: Yuerong Tong Lina Yu Weijun Li Jingyi Liu Luyang Hou Linjun Sun Min Wu AnnLab Institute of Semiconductors Chinese Academy of Sciences Beijing China School of Materials Science and Optoelectronic Technology & School of Integrated Circuits University of Chinese Academy of Sciences Beijing China Beijing Key Laboratory of Semiconductor Neural Network Intelligent Sensing and Computing Technology Beijing China Beijing University of Posts and Telecommunications Beijing China
Implicit polynomial can efficiently represent the object contour for the curve fitting, and fractional implicit polynomial (FIP) is capable of describing complex objects at lower degree. However, both of IP and FIP ba... 详细信息
来源: 评论
A Fault Detection Method for Tree Contact Single-Phase-To-Ground Fault
SSRN
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SSRN 2023年
作者: Wu, Juping Xv, Huikai Jin, Min Gong, Guoliang Chen, Gang Mao, Wenyu Lu, Huaxiang Chen, Tianxiang Institute of Semiconductors CAS Beijing100083 China University of Chinese Academy of Sciences Beijing China Semiconductor Neural Network Intelligent Perception and Computing Technology Beijing Key Laboratory Beijing China Collage of Microelectronics University of Chinese Academy of Sciences Beijing China Materials and Optoelectronics Research Center University of Chinese Academy of Sciences Beijing China Tianjin University of Science and Technology Tianjin300457 China College of Nuclear Technology and Automation Engineering Chengdu University of Technology Chengdu610059 China
High impedance fault(HIF), especially tree contact single-phase-to-ground fault(TSF), often occurs in resonant grounding systems and are difficult to detect. Therefore, there is an urgent need for an effective TSF det... 详细信息
来源: 评论