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中国科学：信息科学（英文版）
中国科学：信息科学（英文版）

周光召

月刊

1674-733X

informatics@scichina.org

010-64015683

100717

北京东黄城根北街16号

中国科学：信息科学（英文版）/Journal Science China Information SciencesCSCDCSTPCDEISCI
查看更多>>《中国科学》是中国科学院主办、中国科学杂志社出版的自然科学专业性学术刊物。《中国科学》任务是反映中国自然科学各学科中的最新科研成果，以促进国内外的学术交流。《中国科学》以论文形式报道中国基础研究和应用研究方面具有创造性的、高水平的和有重要意义的科研成果。在国际学术界，《中国科学》作为代表中国最高水平的学术刊物也受到高度重视。国际上最具有权威的检索刊物SCI，多年来一直收录《中国科学》的论文。1999年《中国科学》夺得国家期刊奖的第一名。
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    SAM3D:zero-shot 3D object detection via the segment anything model

    Dingyuan ZHANGDingkang LIANGHongcheng YANGZhikang ZOU...
    327-328页
      原文链接:
    • 万方数据
    • 维普

    A smart hybrid memory scheduling approach using neural models

    Yanjie ZHENHuijun ZHANGYongheng DENGWeining CHEN...
    329-330页
      原文链接:
    • 万方数据
    • 维普

    Adaptive joint configuration optimization for collaborative inference in edge-cloud systems

    Zheming YANGWen JIZhi WANG
    331-332页
      原文链接:
    • 万方数据
    • 维普

    Linear shallow neural network to accelerate transmitter dispersion eye closure quaternary(TDECQ)assessment

    Junjiang XIANGZejun CHENYijun CHENGHailin YANG...
    333-334页
      原文链接:
    • 万方数据
    • 维普

    FUSE:a federated learning and U-shape split learning-based electricity theft detection framework

    Xuan LINaiyu WANGLiehuang ZHUShuai YUAN...
    335-336页
      原文链接:
    • 万方数据
    • 维普

    Improved RF power performance via electrostatic shielding effect using AlGaN/GaN/graded-AlGaN/GaN double-channel structure

    Chunzhou SHILing YANGMeng ZHANGHao LU...
    337-338页
      原文链接:
    • 万方数据
    • 维普

    An analysis of TinyML@ICCAD for implementing AI on low-power microprocessor

    Guoqing LIJingwei ZHANGMeng ZHANGTuo LI...
    339-340页
      原文链接:
    • 万方数据
    • 维普

    CATCAM:a 28 nm constant-time alteration TCAM enabling less than 50 ns update latency

    Chenchen DENGTianzhu XIONGZhaoshi LIZhiwei LIU...
    341-342页
    查看更多>>摘要：Ternary content-addressable memory(TCAM)is an indis-pensable component of lookup tables in switches or routers.However,it suffers from expensive and inflexible update op-erations and cannot fulfill the demand for rule updates in switches enabling software-defined networking(SDN).The main reason is that TCAM stores rules from top to bottom in decreasing order of priority for disambiguation.Updating a TCAM is similar to the insertion sort that takes O(n)time,where n is the number of inserted rules.This study proposed a constant-time alteration ternary CAM(CATCAM)that can accomplish both lookup queries and update requests in nanoseconds.It decouples rule priorities from physical addresses by encoding the priority ordering between rules separately in an 8T SRAM array.The traversal is enabled by the computing-in-memory technique by writing incoming rules to empty rows without shuffling existing entries.
      原文链接:
    • 万方数据
    • 维普