METHODS AND APPARATUS TO OPTIMIZE WORKFLOWS
    2.
    发明申请

    公开(公告)号:US20190317805A1

    公开(公告)日:2019-10-17

    申请号:US16451974

    申请日:2019-06-25

    Abstract: Methods, apparatus, systems and articles of manufacture are disclosed that optimize workflows. An example apparatus includes an intent determiner to determine an objective of a user input, the objective indicating a task to be executed in an infrastructure, a configuration composer to compose a plurality of workflows based on the determined objective, a model executor to execute a machine learning model to create a confidence score relating to the plurality of workflows, and a workflow selector to select at least one of the plurality of workflows for execution in the infrastructure, the selection of the at least one of the plurality of workflows based on the confidence score.

    Methods and apparatus to optimize workflows

    公开(公告)号:US12242889B2

    公开(公告)日:2025-03-04

    申请号:US18301755

    申请日:2023-04-17

    Abstract: Methods, apparatus, systems and articles of manufacture are disclosed that optimize workflows. An example apparatus includes an intent determiner to determine an objective of a user input, the objective indicating a task to be executed in an infrastructure, a configuration composer to compose a plurality of workflows based on the determined objective, a model executor to execute a machine learning model to create a confidence score relating to the plurality of workflows, and a workflow selector to select at least one of the plurality of workflows for execution in the infrastructure, the selection of the at least one of the plurality of workflows based on the confidence score.

    METHODS AND APPARATUS TO OPTIMIZE WORKFLOWS
    7.
    发明公开

    公开(公告)号:US20230342196A1

    公开(公告)日:2023-10-26

    申请号:US18301755

    申请日:2023-04-17

    CPC classification number: G06F9/4881 G06N20/00

    Abstract: Methods, apparatus, systems and articles of manufacture are disclosed that optimize workflows. An example apparatus includes an intent determiner to determine an objective of a user input, the objective indicating a task to be executed in an infrastructure, a configuration composer to compose a plurality of workflows based on the determined objective, a model executor to execute a machine learning model to create a confidence score relating to the plurality of workflows, and a workflow selector to select at least one of the plurality of workflows for execution in the infrastructure, the selection of the at least one of the plurality of workflows based on the confidence score.

    METHODS AND APPARATUS TO DETECT SIDE-CHANNEL ATTACKS

    公开(公告)号:US20220019666A1

    公开(公告)日:2022-01-20

    申请号:US17385589

    申请日:2021-07-26

    Abstract: Methods, apparatus, systems and articles of manufacture to identify a side-channel attack are disclosed. Example instructions cause one or more processors to generate an event vector based on one or more counts corresponding to tasks performed by a central processing unit; determine distances between the event vector and weight vectors of neurons in a self-organizing map; select a neuron of the neurons that results based on a determined distance; identify neurons that neighbor the selected neuron; and update at least one of a weight vector of the selected neuron or weight vectors of the neighboring neurons based on the determined distance of the selected neuron.

    Methods and apparatus to detect side-channel attacks

    公开(公告)号:US11074344B2

    公开(公告)日:2021-07-27

    申请号:US16226137

    申请日:2018-12-19

    Abstract: Methods, apparatus, systems and articles of manufacture to identify a side-channel attack are disclosed. An example apparatus includes a vector-to-neuron processor to map an event vector to a neuron of a trained self-organizing map; a buffer processor to identify a task pair based on the neuron and an adjacent neuron of the neuron; a buffer to store data corresponding to the identified task pair; an attack identifier to, when information stored in the buffer corresponds to more than a threshold number of task pairs corresponding to the identified task pair, identify a malware attack; and a mitigation technique selector to select a technique for mitigating the malware attack.

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