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    DATA RECOVERY SYSTEM FOR MEMORY DEVICES
    11.
    发明申请
    DATA RECOVERY SYSTEM FOR MEMORY DEVICES 有权

    公开(公告)号：US20220342748A1

    公开(公告)日：2022-10-27

    申请号：US17858579

    申请日：2022-07-06

    Applicant: Micron Technology, Inc.

    Inventor： Richard Edward Fackenthal ,  Sean Stephen Eilert

    IPC: G06F11/10 ,  G06F12/0804

    Abstract: Systems, methods, and apparatus related to data recovery in memory devices. In one approach, a memory device encodes stored data. The memory device reads a codeword from a storage media and determines that a number errors in the codeword exceeds an error correction capability of the memory device. The errors are due, for example, to one or more stuck bits. In response to this determination, one or more data patterns are written to the storage media at the same address from which the codeword is read. The data patterns are read to identify bit locations of the stuck bits. The identified locations are used to correct bit errors of the read codeword that correspond to the identified locations. The corrected code word is sent to a host device (e.g., which requested data from the memory device using a read command).

    Distributed computing based on memory as a service
    13.
    发明授权
    Distributed computing based on memory as a service 有权

    公开(公告)号：US11061819B2

    公开(公告)日：2021-07-13

    申请号：US16424424

    申请日：2019-05-28

    Applicant: Micron Technology, Inc.

    Inventor： Ameen D. Akel ,  Samuel E. Bradshaw ,  Kenneth Marion Curewitz ,  Sean Stephen Eilert ,  Dmitri Yudanov

    IPC: G06F12/00 ,  G06F12/10 ,  H04L29/08 ,  H04W84/04

    Abstract: Systems, methods and apparatuses of distributed computing based on Memory as a Service are described. For example, a set of networked computing devices can each be configured to execute an application that accesses memory using a virtual memory address region. Each respective device can map the virtual memory address region to the local memory for a first period of time during which the application is being executed in the respective device, map the virtual memory address region to a local memory of a remote device in the group for a second period of time after starting the application in the respective device and before terminating the application in the respective device, and request the remote device to process data in the virtual memory address region during at least the second period of time.

    Data duplication in a non-volatile memory
    14.
    发明授权
    Data duplication in a non-volatile memory 有权

    公开(公告)号：US11048580B2

    公开(公告)日：2021-06-29

    申请号：US16796848

    申请日：2020-02-20

    Applicant: Micron Technology, Inc.

    Inventor： Samuel E. Bradshaw ,  Justin Eno ,  Sean Stephen Eilert ,  Sai Krishna Mylavarapu

    IPC: G06F11/00 ,  G06F11/10 ,  G06F3/06

    Abstract: Exemplary methods, apparatuses, and systems include a memory controller receiving a user payload to be written to a memory. The memory controller determines a plurality of locations within the memory within which the user payload will be written. After detecting the destination of the user payload, the memory controller detects, within a data structure, the presence of an identifier of a first location within a user data portion of the plurality of locations. The memory controller writes the user payload to the user data portion of the plurality of locations and, in response to detecting the presence of the identifier in the data structure, writes a copy of one or more bits in the user payload written to the first location to a spare data portion of the plurality of locations.

    FEATURE DICTIONARY FOR BANDWIDTH ENHANCEMENT
    15.
    发明申请
    FEATURE DICTIONARY FOR BANDWIDTH ENHANCEMENT 有权

    公开(公告)号：US20210056350A1

    公开(公告)日：2021-02-25

    申请号：US16545854

    申请日：2019-08-20

    Applicant: Micron Technology, Inc.

    Inventor： Kenneth Marion Curewitz ,  Ameen D. Akel ,  Hongyu Wang ,  Sean Stephen Eilert

    IPC: G06K9/62 ,  G06N3/08 ,  G06F13/16

    Abstract: A system having multiple devices that can host different versions of an artificial neural network (ANN) as well as different versions of a feature dictionary. In the system, encoded inputs for the ANN can be decoded by the feature dictionary, which allows for encoded input to be sent to a master version of the ANN over a network instead of an original version of the input which usually includes more data than the encoded input. Thus, by using the feature dictionary for training of a master ANN there can be reduction of data transmission.

    Intelligent Content Migration with Borrowed Memory
    17.
    发明申请
    Intelligent Content Migration with Borrowed Memory 审中-公开

    公开(公告)号：US20200379908A1

    公开(公告)日：2020-12-03

    申请号：US16424421

    申请日：2019-05-28

    Applicant: Micron Technology, Inc.

    Inventor： Kenneth Marion Curewitz ,  Ameen D. Akel ,  Samuel E. Bradshaw ,  Sean Stephen Eilert ,  Dmitri Yudanov

    IPC: G06F12/0837 ,  G06F12/1027 ,  G06F12/1009 ,  G06F11/14 ,  G06F9/38

    Abstract: Systems, methods and apparatuses to intelligently migrate content involving borrowed memory are described. For example, after the prediction of a time period during which a network connection between computing devices having borrowed memory degrades, the computing devices can make a migration decision for content of a virtual memory address region, based at least in part on a predicted usage of content, a scheduled operation, a predicted operation, a battery level, etc. The migration decision can be made based on a memory usage history, a battery usage history, a location history, etc. using an artificial neural network; and the content migration can be performed by remapping virtual memory regions in the memory maps of the computing devices.

    Distributed machine learning with privacy protection
    20.
    发明授权
    Distributed machine learning with privacy protection 有权

    公开(公告)号：US11755884B2

    公开(公告)日：2023-09-12

    申请号：US16545813

    申请日：2019-08-20

    Applicant: Micron Technology, Inc.

    Inventor： Sean Stephen Eilert ,  Shivasankar Gunasekaran ,  Ameen D. Akel ,  Kenneth Marion Curewitz ,  Hongyu Wang

    IPC: G06N3/04 ,  G06N3/045 ,  G06N20/20 ,  G06N3/048

    CPC classification number: G06N3/045 ,  G06N3/048 ,  G06N20/20

    Abstract: A system having multiple devices that can host different versions of an artificial neural network (ANN). In the system, changes to local versions of the ANN can be combined with a master version of the ANN. In the system, a first device can include memory that can store the master version, a second device can include memory that can store a local version of the ANN, and there can be many devices that store local versions of the ANN. The second device (or any other device of the system hosting a local version) can include a processor that can train the local version, and a transceiver that can transmit changes to the local version generated from the training. The first device can include a transceiver that can receive the changes to a local version, and a processing device that can combine the received changes with the master version.

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