Abstract: In some examples an electronic device includes an image sensor and a processor. The processor is to determine an angle of an eye gaze of a user in relation to an optical axis of the image sensor and adjust, responsive to a determination that the angle exceeds a threshold angle, an active area of a display device.

Abstract: In some examples an electronic device includes an image sensor and a processor. The processor is to determine an angle of an eye gaze of a user in relation to an optical axis of the image sensor and adjust, responsive to a determination that the angle exceeds a threshold angle, an active area of a display device.

Abstract: In some examples, an electronic device comprises an image sensor and a processor. The processor is to detect a feature of a frame of a video received via the image sensor, determine whether the feature indicates an object of interest, and, responsive to a determination that the feature indicates the object of interest, limit a first field of view of the image sensor to the object of interest and overlay the first field of view with a second field of view. The second field of view is unlimited.

Abstract: In some examples, an electronic device includes a network interface and a processor. The processor is to analyze an audiovisual signal received via the network interface to identify a topic, identify information related to the topic, and cause a display device to display a visual asset for the information in a video representing the audiovisual signal.

Abstract: In some examples, an electronic device comprises an image sensor and a processor. The processor is to detect a feature of a frame of a video received via the image sensor, determine whether the feature indicates an object of interest, and, responsive to a determination that the feature indicates the object of interest, limit a first field of view of the image sensor to the object of interest and overlay the first field of view with a second field of view. The second field of view is unlimited.

Abstract: Executable code causes a processor to segment a first frame to determine a background portion of the first frame, and segment a second frame to determine a background portion of the second frame. The executable code causes the processor to compare the background portion of the first frame to the background portion of the second frame to determine a difference between the first frame and the second frame. The executable code also causes the processor to alter the background portion of the second frame responsive to the difference. The executable code causes the processor to display the altered second frame on a display.

Abstract: In some examples, the disclosure describes a device, comprising: a processor resource; and a non-transitory memory resource storing machine-readable instructions stored thereon that, when executed, cause the processor resource to: intercept image data captured at a computing device, determine information associated with the computing device, generate a data bar that includes the determined information, and overlay the data bar on the image data.

Abstract: In some examples, a non-transitory machine-readable medium stores machine-readable instructions. When executed by a controller of an electronic device, the machine-readable instructions cause the controller to detect a user presence, determine first and second measurements, where the first and the second measurements indicate first and second distances to the user presence, and, responsive to a determination that the second measurement is less than the first measurement and a determination that the second measurement is within a distance threshold, wake the electronic device from a power saving mode.

Abstract: In some examples, the disclosure describes a device, comprising: a processor resource, and a non-transitory memory resource storing machine-readable instructions stored thereon that, when executed, cause the processor resource to: determine an emotion based on a facial expression of a user captured within an image, apply a plurality of alterations to the image to exaggerate the facial expression of the user when the emotion has continued for a threshold quantity of time, and remove the plurality of alterations to the image when the emotion of the user has changed.

Abstract: In some examples, a system receives, from a source associated with a first domain, a first intent for the first domain, the first intent not included in a collection of intents for which a chatbot is able to fulfill requests, the collection of intents comprising a second intent for a second domain different from the first domain. The system adds the first intent to an intent repository containing the collection of intents, the intent repository accessible by the chatbot in fulfilling requests corresponding to intents contained in the intent repository, wherein after the adding of the first intent, the intent repository comprises the first intent for the first domain and the second intent for the second domain.

Abstract: In an example in accordance with the present disclosure, an electronic device is described. The electronic device includes a camera to capture an image of a user facing the electronic device. An image analyzer of the electronic device determines a characteristic of the user from the image of the user. The electronic device also includes a presentation controller. The presentation controller 1) selects a presentation characteristic based on a determined characteristic of the user and 2) alters a display of the electronic device based on a selected presentation characteristic.

Abstract: In an example implementation according to aspects of the present disclosure, a system, method, and storage medium for processing digital image file metadata characteristics. The system includes a processor and memory. The processor executes machine readable instructions to receive a set of digital image files from a first client application. The processor extracts a set of metadata from the set of digital image files. The processor identifies a set of common characteristics within the set of metadata. The processor groups the set of digital image files based on the set of common characteristics. The processor evaluates an association between the set of common characteristics and a second user. Responsive to the evaluation, the processor sends the grouped set of digital image files to a second client application.

Abstract: An example of a non-transitory computer-readable medium storing machine-readable instructions. The instructions may cause the processor to receive a configuration file that identifies data sources coupled to the processor. The instructions may cause the processor to collect a data set from the data source based on data from the configuration file. The instructions may cause the processor to create a statistical analysis based on the data set and transmit the statistical analysis to a server.

Abstract: In an example implementation according to aspects of the present disclosure, a system comprising a memory, a storage medium, and a processor communicatively coupled to both the memory and the storage medium. The system receives a lifecycle change event, wherein the lifecycle change event corresponds to a component change in a unit. The system updates a first distributed cryptographic ledger with a first entry corresponding to the component indicating the lifecycle change. The system updates a second distributed cryptographic ledger with a second entry corresponding to the unit indicating the lifecycle change. The system transmits the first entry and the second entry to a plurality of nodes, wherein the nodes validate the first entry and the second entry.

Abstract: An example system may include a processor and a non-transitory machine-readable storage medium storing instructions executable by the processer to generate a real-time transcript of a live delivery of a presentation; provide a unique identification to an attendee within a physical proximity to the live delivery of the presentation; and provide, responsive to receiving the unique identification from a device associated with the attendee, the real-time transcript to the device associated with the attendee for display.

Abstract: An example of a non-transitory computer-readable medium storing machine-readable instructions. The instructions may cause the processor to receive a configuration file that identifies data sources coupled to the processor. The instructions may cause the processor to collect a data set from the data source based on data from the configuration file. The instructions may cause the processor to create a statistical analysis based on the data set and transmit the statistical analysis to a server.

Abstract: An example system may include a processor and a non-transitory machine-readable storage medium storing instructions executable by the processer to transmit, to an edge device, a model to predict an identity of a drawn input; transmit, to the edge device, instructions to cause the edge device to: generate a challenge corresponding to the model, apply the model to a response to the challenge to generate an output, and determine whether the response is generated by a human based on the output; and determine whether to grant the edge device access to a remote resource based on the determination of whether the response is generated by a human.

Abstract: Example implementations relate to determining user domain knowledge. An example non-transitory machine-readable medium can include instructions executable by a processor to retrieve from a provider on a computing device telemetry data associated with a user of the computing device, map user domain knowledge relationships based on the retrieved telemetry data and determine a domain knowledge of the user based on the mapped relationships.

Abstract: In one example in accordance with the present disclosure, a system is described. The system includes a database to maintain, for each of a number of computing devices, time-based operating characteristics and changes to computer readable program code for each of a number of computing devices. A comparator of the system, for a target computing device associated with a change to its computer readable program code, identifies from the database a similar computing device that executed a same change. An estimator of the system generates an estimated impact of the change to the target computing device based on an impact of the same change on the similar computing device.

Abstract: An example computing device can include a processing resource and a memory resource storing instructions thereon, the instructions executable by the processing resource to: log commands directed to the computing device, identify missed utterances from the logged commands, extract features from the missed utterances, wherein the features include an entity and a key phrase associated with the missed utterances, generate a list of the missed utterances based on a priority associated with the features associated with each of the missed utterances, and provide a portion of the missed utterances to a service for resolution, wherein the portion of the missed utterances are above a threshold priority within the list of the missed utterances.