Neural response detector
    11.
    发明专利

    公开(公告)号:GB2581455B

    公开(公告)日:2020-12-30

    申请号:GB202008075

    申请日:2018-10-31

    Applicant: IBM

    Abstract: Aspects provide human detector devices based on neuronal response, wherein the devices are configured to obtain electroencephalogram signals from an entity during a presentation of first sensory information to the entity, and compares the obtained electroencephalogram signals to each of a plurality of trained electroencephalogram signal profile portions that are labeled as the first sensory information that represent electroencephalogram signals most commonly generated by different persons as a function of presentation to the persons of sensory information corresponding to the first sensory information. Thus, the configured processor determines whether the entity is a human as a function of a strength of match of the obtained electroencephalogram signals to ones of the trained electroencephalogram signal profile portions labeled as first sensory information that have highest most-common weightings.

    Optimizing user satisfaction when training a cognitive hierarchical storage-management system

    公开(公告)号:GB2578981A

    公开(公告)日:2020-06-03

    申请号:GB202000528

    申请日:2018-07-18

    Applicant: IBM

    Abstract: A cognitive hierarchical storage-management system receives feedback describing users' satisfaction with the way that prior data-access requests have been serviced. The system uses this feedback to associate each previously requested data element's metadata and storage tier with a level of user satisfaction. As feedback continues to be received, the system uses machine-learning methods to identify how closely specific metadata patterns correlate with certain levels of user satisfaction and with certain storage tiers. The system then uses these associations when determining whether it should migrate data associated with a particular metadata pattern to a different tier.

    Species and object recognition in photographs

    公开(公告)号:GB2568779A

    公开(公告)日:2019-05-29

    申请号:GB201815272

    申请日:2018-09-19

    Applicant: IBM

    Abstract: A method is provided of identifying an object from a photograph, wherein the photograph comprises one or more markers from a list of predefined markers stored in a database. Each marker includes a property of the object, a measured value of the property, identification of an entity that measured the value of the property, and an association with one or more species of object. One or more species of object associated with each marker present in the photograph is identified by comparing the measured values of the properties with classifiers of species listed in the database. A species confidence level is determined for each identified species by comparing the measured values with threshold values stored in the database for each identified species, and the species having the highest confidence level is selected. Alternatively, a species matching factor for each identified species is determined as a numerical percentage of markers required to meet or exceed a threshold value for the identified species. A ratio of strength of each marker is determined for each object species by multiplying a species weighting factor with the species matching factor. A species confidence level is then determined by comparing the strength ratios of the markers with threshold values stored in the database for each identified species.

    Automated management of confidential data in cloud environments

    公开(公告)号:GB2533098B

    公开(公告)日:2016-12-14

    申请号:GB201421826

    申请日:2014-12-09

    Applicant: IBM

    Abstract: A shared networked storage may be separated from a key vault system. A storage request with data to be stored and the storage request with a confidentiality rating may be received. The confidentiality rating may indicate a level of confidentiality the data is associated with. The storage request with the data and the confidentiality rating may be received via a shared networked storage access interface by a security layer. The data to be stored by the key vault system and the confidentiality rating may be encrypted on request of the security layer and into a data container. The shared networked storage may be categorized into Cloud zones. Each Cloud zone may be assigned a trust level. The data container may be stored in one of the Cloud zones of the shared networked storage. The trust level of the one of the Cloud zones may correspond to the confidentiality rating.

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