中科微点-全球专利检索

  1. Login
  2. Sign Up

Search Results

89 records (took 0.022 seconds)

    ADAPTIVE REFERENCE TUNING FOR ENDURANCE ENHANCEMENT OF NON-VOLATILE MEMORIES
    31.
    发明申请
    ADAPTIVE REFERENCE TUNING FOR ENDURANCE ENHANCEMENT OF NON-VOLATILE MEMORIES 有权

    公开(公告)号：US20140281162A1

    公开(公告)日：2014-09-18

    申请号：US14013485

    申请日：2013-08-29

    Applicant: International Business Machines Corporation

    Inventor： Bing Dai ,  Chung H. Lam ,  Jing Li

    IPC: G06F3/06

    CPC classification number: G06F3/0616 ,  G06F3/0653 ,  G06F3/0688 ,  G11C16/28 ,  G11C16/349

    Abstract: A wear leveling technique is employed in a memory device so that the cycling history of a memory block is represented by the cycling history of a representative memory cell or a small number of representative memory cells. A control logic block tracks the cycling history of the one or more representative memory cells. A table tabulating the predicted shift in an optimal value for a reference variable for a sensing circuit as a function of cycling history is provided within the memory device. Prior to sensing a memory cell, the control logic block checks the total number of cycling in the one or more representative memory cells and adjusts the value for the reference variable in the sensing circuit, thereby providing an optimal value for the reference variable in the sensing circuit for each sensing cycle of the memory device.

    SELF-ALIGNED APPROACH FOR DRAIN DIFFUSION IN FIELD EFFECT TRANSISTORS
    32.
    发明申请
    SELF-ALIGNED APPROACH FOR DRAIN DIFFUSION IN FIELD EFFECT TRANSISTORS 审中-公开
    用于场效应晶体管漏极扩散的自对准方法

    公开(公告)号：US20140264557A1

    公开(公告)日：2014-09-18

    申请号：US13833989

    申请日：2013-03-15

    Applicant: International Business Machines Corporation

    Inventor： Chung H. Lam ,  Jing Li

    IPC: H01L21/225 ,  H01L29/78 ,  H01L29/08 ,  H01L29/66

    CPC classification number: H01L21/2254 ,  H01L29/0847 ,  H01L29/66666 ,  H01L29/7827

    Abstract: A method for doping terminals of a field-effect transistor (FET), the FET including a drain region, a source region, and a surround gate surrounding a channel region, the method including depositing a dopant-containing layer, such that the surround gate prevents the dopant-containing layer from contacting the channel region of the FET, the dopant-containing layer including a dopant. The dopant then diffuses the dopant from the dopant-containing layer into at least one of the drain region and source region of the FET.

    Abstract translation: 一种用于掺杂场效应晶体管（FET）的端子的方法，所述FET包括漏极区域，源极区域和围绕沟道区域的环绕栅极，所述方法包括沉积含掺杂剂的层，使得所述环绕栅极 防止含掺杂剂的层与FET的沟道区域接触，含掺杂剂的层包括掺杂剂。 掺杂剂然后将掺杂剂从掺杂剂层扩散到FET的漏极区域和源极区域中的至少一个中。

    Storage management and usage optimization using workload trends
    35.
    发明授权
    Storage management and usage optimization using workload trends 有权

    公开(公告)号：US12287721B2

    公开(公告)日：2025-04-29

    申请号：US17585695

    申请日：2022-01-27

    Applicant: International Business Machines Corporation

    Inventor： Yan Li ,  Run Qian Bj Chen ,  Chen Guang Zhao ,  Qin Qin Zhou ,  Guang Han Sui ,  Jing Li ,  You Bing Li ,  Yu Xiang Chen

    IPC: G06F11/34 ,  G06F9/50

    Abstract: Solutions preparing container images and data for container workloads prior to start times of workloads predicted through workload trend analysis. Local storage space on the node is managed based on workload trends, optimizing local storage of image files without requiring frequent reloading and/or deletion of image files, avoiding network intensive I/O operations when pulling images to local storage by workload scheduling systems. Systems perform collection of historical data including image and workload properties; analyze historical data for workload trends, including predicted start times, image files needed, number of nodes and types of nodes. Based on predicted future workload start times, nodes are selected from an ordered list of node requirements and workload properties. Selected nodes' local storage is managed using predicted future start times of workloads, to avoid removing image files having sooner start times, while removing (as needed) images files predictively utilized for workloads further into the future.

    STORAGE MANAGEMENT AND USAGE OPTIMIZATION USING WORKLOAD TRENDS
    37.
    发明公开
    STORAGE MANAGEMENT AND USAGE OPTIMIZATION USING WORKLOAD TRENDS 审中-公开

    公开(公告)号：US20230236946A1

    公开(公告)日：2023-07-27

    申请号：US17585695

    申请日：2022-01-27

    Applicant: International Business Machines Corporation

    Inventor： Yan Li ,  Run Qian Bj Chen ,  Chen Guang Zhao ,  Qin Qin Zhou ,  Guang Han Sui ,  Jing Li ,  You Bing Li ,  Yu Xiang Chen

    IPC: G06F11/34 ,  G06F9/50

    CPC classification number: G06F11/3442 ,  G06F9/5077 ,  G06F9/505

    Abstract: Solutions preparing container images and data for container workloads prior to start times of workloads predicted through workload trend analysis. Local storage space on the node is managed based on workload trends, optimizing local storage of image files without requiring frequent reloading and/or deletion of image files, avoiding network intensive I/O operations when pulling images to local storage by workload scheduling systems. Systems perform collection of historical data including image and workload properties; analyze historical data for workload trends, including predicted start times, image files needed, number of nodes and types of nodes. Based on predicted future workload start times, nodes are selected from an ordered list of node requirements and workload properties. Selected nodes' local storage is managed using predicted future start times of workloads, to avoid removing image files having sooner start times, while removing (as needed) images files predictively utilized for workloads further into the future.

    ARTIFICIAL INTELLIGENCE (AI) MODEL DEPLOYMENT
    39.
    发明申请
    ARTIFICIAL INTELLIGENCE (AI) MODEL DEPLOYMENT 有权

    公开(公告)号：US20230031636A1

    公开(公告)日：2023-02-02

    申请号：US17387125

    申请日：2021-07-28

    Applicant: International Business Machines Corporation

    Inventor： Lin Dong ,  Dong Xie ,  Jing Li ,  Guang Han Sui ,  Xiao Tian Xu

    IPC: G06N5/04 ,  G06F11/34 ,  G06F16/901

    Abstract: Aspects of the invention include systems and methods configured to provide simplified and efficient artificial intelligence (AI) model deployment. A non-limiting example computer-implemented method includes receiving an AI model deployment input having pre-process code, inference model code, and post-process code. The pre-process code is converted to a pre-process graph. The inference model and the post-process model are similarly converted to an inference graph and a post-process graph, respectively. A pipeline path is generated by connecting nodes in the pre-process graph, the inference graph, and the post-process graph. The pipeline path is deployed as a service for inference.

    Normalization of medical terms with multi-lingual resources
    40.
    发明授权
    Normalization of medical terms with multi-lingual resources 有权

    公开(公告)号：US11308289B2

    公开(公告)日：2022-04-19

    申请号：US16569874

    申请日：2019-09-13

    Applicant: International Business Machines Corporation

    Inventor： Jian Min Jiang ,  Jian Wang ,  Songfang Huang ,  Jing Li ,  Ke Wang

    IPC: G06F40/58 ,  G06F40/44 ,  G06F40/197 ,  G06F40/237

    Abstract: Method and apparatus are presented for receiving a medical or medical condition related input term or phrase in a source language, and translating the term or phrase from the source language into at least one target language to obtain a set of translated terms of the input term. For each translated term in the set of translations, the method and apparatus further translate the set of translations back into the source language to obtain an output list of standard versions of the input term, scoring each entry of the output list as to probability of being the most standard version of the input term, and providing the entry of the output list that has the highest score to a user.

Patent Agency Ranking