DYNAMIC PERMISSION MANAGEMENT OF STORAGE BLOCKS

    公开(公告)号:US20220391117A1

    公开(公告)日:2022-12-08

    申请号:US17303674

    申请日:2021-06-04

    IPC分类号: G06F3/06 G06N20/00

    摘要: A method, a computer program product, and a system of dynamically managing permissions of storage blocks. The method includes predicting at least one storage block that will be accessed by a user on a storage device and predicting a time window when the storage block will be accessed the user. The predictions can be performed by a machine learning model trained using the historical accesses and access times of the user. The method also includes granting the user an access to the storage block during the time window and monitoring whether the storage block is accessed by the user. The method also includes determining, based on the monitoring, that the user accessed the storage block, and revoking the access to the storage block granted to the user after a predetermined access time.

    ORDERING ANNOTATION SETS FOR MACHINE LEARNING

    公开(公告)号:US20220261597A1

    公开(公告)日:2022-08-18

    申请号:US17175896

    申请日:2021-02-15

    IPC分类号: G06K9/62 G06N20/00

    摘要: Embodiments are disclosed for a method. The method includes receiving an annotation set for a machine learning model. The annotation set includes multiple data points relevant to a task for the machine learning model. The method also includes determining total weights corresponding to the data points. The total weights are determined based on multiple ordering constraints indicating multiple data classes and corresponding weights. The corresponding weights represent a relative priority of the data classes with respect to each other. The method further includes generating an ordered annotation set from the annotation set. The ordered annotation set includes the data points in a sequence based on the determined total weights.

    INTERACTION NEURAL NETWORK FOR PROVIDING FEEDBACK BETWEEN SEPARATE NEURAL NETWORKS

    公开(公告)号:US20220207621A1

    公开(公告)日:2022-06-30

    申请号:US17136249

    申请日:2020-12-29

    摘要: A method for providing feedback between separate neural networks to predict crop yield of a polyculture by combining the crop yield predictions from the neural networks is described. The method includes configuring a set of neural networks, each neural network in the set of neural networks predicting crop yield for a respective crop from a set of crops based on a set of crop growth time series, one crop growth time series for each respective crop, the set of crops being grown in a polyculture. A crop simulator generates the set of crop growth time series based on application rates of farm inputs that are provided to the crop simulator. The method further includes determining a predicted crop yield of the polyculture at a timepoint after a predetermined duration by iteratively changing and applying application rates of farm inputs based on the crop growth time series.

    Recording a separated sound from a sound stream mixture on a personal device

    公开(公告)号:US11307825B1

    公开(公告)日:2022-04-19

    申请号:US17187868

    申请日:2021-02-28

    摘要: The method provides for one or more processor receiving on a personal device, a mixture of sounds within a sound stream from multiple sources. The one or more processors identifying one or more sounds of the mixture of sounds from the multiple sources, based on a sound separation technique. The one or more processors displaying on a user interface of the personal device an icon corresponding respectively to a classification of the one or more sounds identified from the multiple sources. The one or more processors receiving a selection of a sound from the mixture of the multiple sounds, based on an action by a user of the personal device selecting the icon displayed on the user interface of the personal device, and the one or more processors recording the sound from the mixture of the multiple sounds selected by the user.