SYSTEMS, METHODS AND APPARATUS FOR DATA QUALITY ASSESSMENT AND LEARNING FOR AUTOMATED DEVICES

    公开(公告)号:US20230244191A1

    公开(公告)日:2023-08-03

    申请号:US18148362

    申请日:2022-12-29

    CPC classification number: G05B13/0265

    Abstract: Methods, apparatus, systems and articles of manufacture (e.g., physical storage media) to perform data quality assessment and learning for automated agents are disclosed. An example apparatus disclosed herein includes processor circuitry to calculate a data quality score for data generated by sensors of an autonomous agent. The processor circuitry also generates a reputation score based on the data quality score and the data generated by the sensors. The reputation score indicates a level of confidence in an accuracy of the data quality score. Usage of the data by an action circuitry of the autonomous agent is controlled based on the data quality score and the reputation score. The data quality score and the reputation score are a first value and a second value, respectively.

    SECURE APPLICATION COMMUNICATIONS THROUGH SIDECARS

    公开(公告)号:US20230198959A1

    公开(公告)日:2023-06-22

    申请号:US17556671

    申请日:2021-12-20

    CPC classification number: H04L63/0428 G06F9/547

    Abstract: Embodiments described herein are generally directed to a transparent and adaptable mechanism for performing secure application communications through sidecars. In an example, a set of security features is discovered by a first sidecar of a first microservice of multiple microservices of an application. The set of security features are associated with a device of multiple devices of a set of one or more host systems on which the first microservice is running. Information regarding the set of discovered security features is made available to the other microservices by the first sidecar by sharing the information with a discovery service accessible to all of the microservices. A configuration of a communication channel through which a message is to be transmitted from a second microservice to the first microservice is determined by a second sidecar of the second microservice by issuing a request to the discovery service regarding the first microservice.

    Management of microservices failover

    公开(公告)号:US11561868B1

    公开(公告)日:2023-01-24

    申请号:US17560857

    申请日:2021-12-23

    Abstract: Embodiments described herein are generally directed to intelligent management of microservices failover. In an example, responsive to an uncorrectable hardware error associated with a processing resource of a platform on which a task of a service is being performed by a primary microservice, a failover trigger is received by a failover service. A secondary microservice is identified by the failover service that is operating in lockstep mode with the primary microservice. The secondary microservice is caused by the failover service to takeover performance of the task in non-lockstep mode based on failover metadata persisted by the primary microservice. The primary microservice is caused by the failover service to be taken offline.

    APPARATUS, ARTICLES OF MANUFACTURE, AND METHODS FOR MANAGING PROCESSING UNITS

    公开(公告)号:US20220413943A1

    公开(公告)日:2022-12-29

    申请号:US17705256

    申请日:2022-03-25

    Abstract: interface circuitry to detect a request to obtain a resource request from a workload and processor circuitry including one or more of: at least one of a central processing unit, a graphic processing unit or a digital signal processor, the at least one of the central processing unit, the graphic processing unit or the digital signal processor having control circuitry, arithmetic and logic circuitry, and one or more registers, the processor circuitry to execute instructions to: determine if resources are available for the workload on an infrastructure processing unit managed system; negotiate with the infrastructure processing unit to determine if an executing workload can be migrated; in response to determining that an executing workload can be migrated, cause the executing workload to be migrated; and cause the workload to execute on the resource.

    PREDICTIVE ANALYTICS MODEL MANAGEMENT USING COLLABORATIVE FILTERING

    公开(公告)号:US20220004174A1

    公开(公告)日:2022-01-06

    申请号:US17480168

    申请日:2021-09-21

    Abstract: In one embodiment, a computing device includes interface circuitry and processing circuitry. The processing circuitry receives, via the interface circuitry, a data stream captured at least partially by sensor(s), which contains feature values corresponding to an unlabeled instance of a feature set. The processing circuitry then groups the data stream into a data stream group, which is assigned from a set of data stream groups based on the feature values in the data stream. The processing circuitry then selects a predictive model for the data stream group from a set of predictive models, which are each trained to predict a target variable for a corresponding data stream group. The processing circuitry then predicts the target variable for the data stream using the predictive model, which infers the target variable based on the set of feature values in the data stream.

    Drone control registration
    19.
    发明授权

    公开(公告)号:US11209815B2

    公开(公告)日:2021-12-28

    申请号:US15088949

    申请日:2016-04-01

    Abstract: A drone includes technology for tracking controllers. A controller registration module (CRM) in the drone enables the drone to receive a first controller identifier from a first remote device. In response to receiving the first controller identifier, the CRM registers the first remote device as the current controller for the drone. Registering comprises adding the first controller identifier to a drone control registration record (DCRR) in the drone. Also, the DCRR is added to a block chain in remote storage. The CRM then receives a second controller identifier from a second remote device. In response, the CRM registers the second remote device as the current controller. Registering comprises creating an updated DCRR that identifies the second controller as the current controller. The updated DCRR is then added to the block chain. Other embodiments are described and claimed.

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