Sequential SLC read optimization
    11.
    发明授权

    公开(公告)号:US11776615B2

    公开(公告)日:2023-10-03

    申请号:US17673302

    申请日:2022-02-16

    Abstract: Systems and methods for read operations and management are disclosed. More specifically, this disclosure is directed to receiving a first read command directed to a first logical address and receiving, after the first read command, a second read command directed to a second logic address. The method also includes receiving, after the second read command, a third read command directed to a third logical address and determining that the first logical address and the third logical address correspond to a first physical address and a third physical address, respectively. The first physical address and the third physical address can be associated with a first word line of a memory component while the second logical address corresponds to a second physical address associated with a second word line of the memory component. The method includes executing the first read command and the third read command sequentially.

    Map update using images
    16.
    发明授权

    公开(公告)号:US12259257B2

    公开(公告)日:2025-03-25

    申请号:US17557897

    申请日:2021-12-21

    Abstract: Methods and apparatuses associated with updating a map using images are described. An apparatus can include a processing resource and a memory resource having instructions executable to a processing resource to monitor a map including a plurality of locations, receive, at the processing resource, the memory resource, or both, and from a first source, image data associated with a first location, identify the image data as being associated with a missing portion, an outdated portion, or both, of the map, and update the missing portion, the outdated portion, or both, of the map with the image data.

    SMART NOSE WITH MACHINE LEARNING
    17.
    发明公开

    公开(公告)号:US20240272703A1

    公开(公告)日:2024-08-15

    申请号:US18438912

    申请日:2024-02-12

    CPC classification number: G06F3/011 G01N33/0034 G06V10/10

    Abstract: Methods, apparatuses, and systems associated with a smart nose with machine learning are described. A system can include a smart nose device configured to receive an odor and create a first odor vector associated with the odor. The system can include an image detection device configured to receive a plurality of images while the odor is received and identify a plurality of objects within the plurality of images. The system can also include a computing device to refine the first odor vector based on the identified plurality of objects, create, utilizing a machine learning model, a second odor vector based on the refined first odor vector and an odor pattern database, and predict the odor based on the second odor vector.

    GARBAGE COLLECTION IN A MEMORY COMPONENT USING AN ADJUSTED PARAMETER

    公开(公告)号:US20220171562A1

    公开(公告)日:2022-06-02

    申请号:US17673408

    申请日:2022-02-16

    Abstract: Systems, apparatuses, and methods related to media management, including “garbage collection,” in memory or storage systems or sub-systems, such as solid state drives, are described. For example, a criticality value can be determined and used as a basis for managing a garbage collection operation on a data block. A controller or the system or sub-system may determine that a criticality value associated with performing a garbage collection operation satisfies a condition. Based on determining that the condition is satisfied, a parameter associated with performing the garbage collection operation can be adjusted. The garbage collection operation is performed on the data block stored on the memory component using the adjusted parameter.

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