International Business Machines Corporation

Kyndryl, Inc.

Manvendra Gupta

Peter H Burton

Donna Karen Byron

Stewart Jason Hyman

Rhonda L Childress

Hagop Amendjian

Peter George Finn

Shahir A Daya

Luc Desrosiers

Helena Litani

Leon H Cash, Jr

Peter C Bahrs

Anne Kline

Sangeeta Gautam

Thomas S Bergman

Michael R Marsonet

Terrence A Paul

Rebecca D Young

Diaa EIDin Mya Nasr

Diaa EIDin M Y A Nasr

A method and associated system for processing content, including document, received from a search of information. A subject of each received document is determined. A contributor who is associated with, and is not an author of, each respective document is determined. Each contributor is queried as to a veracity of each respective document, after which a communication from each contributor verifying the veracity of each respective document is received. An education type of an author of each respective document is classified as being formal education, self-taught, or experience as indicative of an expertise level of the author of each respective document. A plurality of credentials of each contributor is received and confirmed. Prior to the subject of each received document having been determined, signatures are published to the Internet. The signatures include signed content of each respective document signed by the contributor associated with each respective document.

Authority based content filtering

A method and system for generating summary details is provided. The method includes retrieving event data of associated with a user. Attributes are extracted from the event data and the event data is segmented into logical groups of related activities performed by the user. Key information and associated attributes of each logical group are identified and in response the user is evaluated. The logical groups of related activities are ranked and presented to the user. In response, an engagement summary associated with the user and the logical groups is generated.

Engagement summary generation

Embodiments of the present disclosure relate to augmented reality (AR) safety enhancement. In embodiments, an eye-gaze time indicating a period in which a user using an AR application is viewing a screen of a mobile device running the AR application can be determined. The eye-gaze time can then be compared to an eye-gaze threshold. In response to a determination that the eye-gaze time exceeds the eye-gaze threshold, an alert can be issued to the mobile device running the AR application. In embodiments, a set of proximity data can be received. The set of proximity data can be analyzed to determine a number of nearby devices. A determination can be made whether the number of nearby devices exceeds a safety threshold. When a determination is made that the number of nearby devices exceeds the safety threshold, an alert can be issued to a device having a running AR application.

Augmented reality safety

A method and system for automatically determining a processing path is provided. The method includes generating an input criteria associated with performing a hardware apparatus implemented process. Metadata describing the input criteria is generated and stored. Weighting factors associated with the metadata are generated and a specialized hardware apparatus executing the hardware apparatus implemented process is enabled. Measurement characteristics associated with conditions resulting from the specialized hardware apparatus executing the hardware apparatus implemented process are retrieved from a plurality of hardware sensors. A resource database catalog for hardware based data processing resources is queried and an optimization process for determining an optimized processing path for processing the metadata with respect to the resource database hardware based data and the measurement characteristics is executed. The optimized processing path is executed resulting in specified control decisions associated with controlling the specialized hardware apparatus.

Processing path determination

An approach is provided for securing data. A concept associated with a domain is identified as a concept of data in a first call. The identified concept is associated to policies. Based on (i) a determination that attribute names of the data in a second call match a second concept associated with the domain and (ii) a match between a pattern and field values of the data, the second concept is identified as the previously identified concept associated with the first call and an inference score is determined. Based on the inference score exceeding a threshold and the second concept being associated with the policies, the second call is blocked, thereby securing the data according to the policies, before a completion of a transaction that includes the second call, and without requiring a validation of the second concept by a human administrator.

Cognitive API policy manager

Aspects control data transfers within group of networked devices. The devices are assigned a power values indicative of a relative quality of power supply, connection values indicative of a relative quality of network connections available, and master state values as a function of a comparing historical usage data. The devices with a highest combination value generated from the assigned master state, power and connection values is set as a master device to receive the data item and transfer the data item to each of other devices as client devices relative to the master device.

Adaptive communication control device

A computer receives one or more media content source locations. The computer determines two or more media content items associated with the one or more received media content source locations. The computer negotiates digital rights associated with the two or more media content items. The computer pre-fetches the two or more media content items from the one or more media content source locations. The computer determines at least one digital characteristic of a first media content item of the two or more media content items does not match at least one digital characteristic of a second media content item of the two or more media content items. The computer resamples the first media content item of the two or more media content items. The computer publishes a composition of the two or more media content items to appear as one linked asset with uniform digital characteristics.

Video composition by dynamic linking

An approach is provided for personalizing an error message for a user. Corrective actions performed by the user are monitored. The corrective actions include the user visiting online forums. The corrective actions cause a resolution of an instance of an error condition described in the error message and which specifies an error in an operation of a software application. Based on the monitored corrective actions, sources of information accessed by the user to resolve the error condition instance are determined. The sources include online forums visited by the user. After resolution of the error condition instance, another instance of the same error condition is detected, and in response, the error message is augmented with a summary of the sources including the online forums and/or hyperlinks that access the sources including the online forums. The augmented error message is presented to the user.

Personalizing error messages based on user behavior

An approach is provided for securing data. Concept expansion on a data structure and names of attributes of the data is performed. Values of fields of the data are matched to a pattern in a repository that includes patterns that specify concepts. Based on the concept expansions and the field values matched to the pattern, a concept of the data is identified and an inference score is determined. The inference score indicates whether the identified score requires a validation. If the inference score exceeds a threshold score, a policy associated with the concept is identified and an action to secure the data based on the policy is performed. If the inference score does not exceed the threshold score, (i) a validation of the concept is received or (ii) an indication that the identified concept is not valid and a new concept of the data are received.

A method and associated system for filtering content received from a search of information. Documents are received from the search. The search is based on a search request received from a requester. A subject of each received document is determined. A contributor associated with each document received as a result of the search is determined. Credentials of each contributor are received. For each received document, a determination is made of (i) a credential score for each credential of the contributor with respect to the subject of the document and (ii) a ranking score of the contributor on the subject of the document. The ranking score is determined based on the credential scores. The received documents are filtered, by using the ranking scores, to remove at least one document from the received documents, resulting in a set of remaining documents. The set of remaining documents are returned to the requester.

Authority based content-filtering

An approach is provided for personalizing an error message for a user. A modified help system monitors interactions with the help system and includes instructions about error conditions. The instructions are in formats that match four learning styles indicating a preference for visual input, spoken verbal input, written verbal input, and a combination of visual and verbal input. Selections of content to resolve error conditions and types of interactions are recorded. Learning format, learning type, interactivity level, interactivity type, and semantic density of the selected content are determined. A learning style model is generated. Based on the model, the learning style of the user is determined to be one of the four learning styles. A predetermined error message describing a detected error condition is retrieved. The error message is augmented with an instruction in a format that matches the learning style of the user and is presented to the user.

Personalizing error messages based on user learning styles

A system, program and method are provided for monitoring and detecting changes for infrastructure orchestration templates. A computer provisions a stack using an existing template. The computer detects a change in the stack, wherein the detecting includes comparing at least one configuration element of the stack to at least one definition stored within a repository of a system. The computer determines whether the change is relevant to the existing template. In response to the change being relevant, the computer determines a type of change in the stack. The computer performs either updating a relevant section of the existing template or creating a new template by adding a new portion, which defines a new configuration element according to the type of change in the stack.

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Brampton, Canada

Manvendra Gupta