Abstract: A computer-implemented method, a computer system and a computer program product control participant interaction within remote meeting sessions. The method includes capturing participant data using a device, where the participant data is associated with a participant within the remote meeting session and is selected from a group consisting of: audio data, image data and text data. The method also includes identifying an event in the participant data. The method further includes determining that the participant has not modified a participant interaction mode. Lastly, the method includes modifying the participant interaction mode of the participant when the event is classified as causing a change of the participant interaction mode.

Abstract: Disclosed are techniques for programmatically mapping workloads for storage in different classes of a networked computer data storage environment, using a set of rules or data storage hints and properties of the workloads themselves. With the set of data storage hints, metadata sets are assigned to files of the incoming workloads to the networked computer data storage environment based on the properties of the workloads. Then, a target storage class is determined for each file of the workload from the plurality of storage classes present in the networked computer data storage environment. The workload files are then mapped to a logical bucket that is associated with the plurality of storage classes through a shared namespace, with the assigned metadata set for a file cueing the filesystem modules as to which storage class within the logical bucket to direct the various files of the workload to.

Abstract: According to one embodiment, a method, computer system, and computer program product for web conference recording correction is provided. The embodiment may include capturing a server-side recording of a web conference and a plurality of client-side recordings of the web conference. The embodiment may also include identifying one or more quality issues with the server-side recording. The embodiment may further include generating a reconstruction of the server-side recording that cures the one or more quality issues using one or more recordings within the plurality of client-side recordings.

Abstract: Aspects of the invention perform an operation comprising receiving a plurality of rules associated with a first seat in a mass-transit vehicle, determining a plurality of physical attributes for a first passenger, of a plurality of passengers, based on data describing the first passenger received from a plurality of data sources, determining a plurality of non-physical attributes for the first passenger based on the received data describing the first passenger, determining that at least one of the plurality of physical attributes and the plurality of non-physical attributes of the first passenger satisfy each rule in the set of rules associated with the first seat, computing, based on a machine learning (ML) model a score for the first passenger, determining that the score exceeds a threshold score associated with the first seat, and allocating the first passenger to the first seat in the mass-transit vehicle.

Abstract: An embodiment includes activating, responsive to receiving an update notification, an update mode of a mobile device, wherein the activating of the update mode includes disabling a primary communication interface and enabling a secondary communication interface, and wherein the update notification includes notification of a software update available for the mobile device. The embodiment also includes initiating execution of the software update on the mobile device while the mobile device remains in the update mode. The embodiment also includes deactivating, responsive to completing the software update, the update mode of the mobile device, wherein the deactivating of the update mode includes enabling the primary communication interface and disabling the secondary communication interface.

Abstract: Disclosed are techniques for programmatically mapping workloads for storage in different classes of a networked computer data storage environment, using a set of rules or data storage hints and properties of the workloads themselves. With the set of data storage hints, metadata sets are assigned to files of the incoming workloads to the networked computer data storage environment based on the properties of the workloads. Then, a target storage class is determined for each file of the workload from the plurality of storage classes present in the networked computer data storage environment. The workload files are then mapped to a logical bucket that is associated with the plurality of storage classes through a shared namespace, with the assigned metadata set for a file cueing the filesystem modules as to which storage class within the logical bucket to direct the various files of the workload to.

Abstract: A method, computer system, and a computer program product for image protection are provided. A first device includes a computer and a first camera. The first device identifies a picture that has a hallmark. The first device transmits a message requesting authorization to have a copy of the picture. The message contains data representative of the hallmark. The first device receives a response message. The first device determines whether the response message authorizes capture of a copy of the picture.

Abstract: In an approach, a processor receives a photograph requirement from an image of an application, the photograph requirement associated with a photograph to be uploaded to the application. A processor adjusts a camera setting based on the photograph requirement. A processor captures the photograph in accordance with the adjusted camera setting.

Abstract: A health status of a first user is monitored from a wearable device. The health status is based on a set of one or more health metrics captured by the wearable device. The health status is measured while the wearable device is worn by the first user. It is determined that the first user is participating in a travel event that is related to a travel vehicle. A potential health concern of the first user is detected based on the health status. An intervention action related to the health status is performed, in response to the potential health concern. The intervention action is performed based on the travel event.

Abstract: Computer technology for determining a possibility of an emerging hearing issue in a user based on the user's auditory interactions with a mobile device (for example, a smartphone), a wearable computer device (for example, a smart watch) and/or a virtual assistant (for example, an internet of things (IoT) enabled doorbell).

Abstract: A method, computer system, and a computer program product for image protection are provided. A first device includes a computer and a first camera. The first device identifies a picture that has a hallmark. The first device transmits a message requesting authorization to have a copy of the picture. The message contains data representative of the hallmark. The first device receives a response message. The first device determines whether the response message authorizes capture of a copy of the picture.

Abstract: In an approach, a processor receives a request to access an electronic resource from a device. A processor causes the device to generate a Completely Automated Public Turing test (CAPTCHA), where the CAPTCHA comprises: a virtual keyboard; an ordered string of characters required to be input; and presentation of a highlighted key of the virtual keyboard on the device, wherein (i) the highlighted key is a first key visually distinct from other keys of the virtual keyboard and (ii) the first key corresponds to a character of the ordered string of characters. A processor receives a result of the CAPTCHA from the device. A processor performs an action based on the result.

Abstract: A profile associated with a user that has unintentionally disconnected from an electronic conference is determined. Content missed by the user is determined. A determination is made whether the content missed by the user is relevant to the user based on the determined profile associated with the user and an indicated preference of the user. In response to determining that the content missed by the user is relevant to the user, the content missed by the user is transmitted to a computing device of the user.

Abstract: Aspects of the invention perform an operation comprising receiving a plurality of rules associated with a first seat in a mass-transit vehicle, determining a plurality of physical attributes for a first passenger, of a plurality of passengers, based on data describing the first passenger received from a plurality of data sources, determining a plurality of non-physical attributes for the first passenger based on the received data describing the first passenger, determining that at least one of the plurality of physical attributes and the plurality of non-physical attributes of the first passenger satisfy each rule in the set of rules associated with the first seat, computing, based on a machine learning (ML) model a score for the first passenger, determining that the score exceeds a threshold score associated with the first seat, and allocating the first passenger to the first seat in the mass-transit vehicle.

Abstract: An embodiment includes activating, responsive to receiving an update notification, an update mode of a mobile device, wherein the activating of the update mode includes disabling a primary communication interface and enabling a secondary communication interface, and wherein the update notification includes notification of a software update available for the mobile device. The embodiment also includes initiating execution of the software update on the mobile device while the mobile device remains in the update mode. The embodiment also includes deactivating, responsive to completing the software update, the update mode of the mobile device, wherein the deactivating of the update mode includes enabling the primary communication interface and disabling the secondary communication interface.

Abstract: A profile associated with a user that has unintentionally disconnected from an electronic conference is determined. Content missed by the user is determined. A determination is made whether the content missed by the user is relevant to the user based on the determined profile associated with the user and an indicated preference of the user. In response to determining that the content missed by the user is relevant to the user, the content missed by the user is transmitted to a computing device of the user.

Abstract: Aspects of the present invention disclose a method for performing playback functions of a multimedia feed based on a task of a request and an activity of a user. The method includes one or more processors identifying a task of multimedia of a video sharing application of a computing device. The method further includes determining an activity of a user utilizing a live video feed of a camera of the computing device. The method further includes determining whether the activity of the user correlates to the task of the multimedia. The method further includes in response to determining that the activity of the user correlates to the task of the multimedia, initiating a playback function of the video sharing application of the computing device based at least in part on the activity of the user and the task of the multimedia.

Abstract: Aspects of the invention perform an operation comprising receiving a plurality of rules associated with a first seat in a mass-transit vehicle, determining a plurality of physical attributes for a first passenger, of a plurality of passengers, based on data describing the first passenger received from a plurality of data sources, determining a plurality of non-physical attributes for the first passenger based on the received data describing the first passenger, determining that at least one of the plurality of physical attributes and the plurality of non-physical attributes of the first passenger satisfy each rule in the set of rules associated with the first seat, computing, based on a machine learning (ML) model a score for the first passenger, determining that the score exceeds a threshold score associated with the first seat, and allocating the first passenger to the first seat in the mass-transit vehicle.

Abstract: A computing system is configured to process at least one voice input of a user and output an audio result. The computing system comprises at least one microphone configured to receive the voice input from the user. The computing system further comprises at least one processor configured to at least interpret the voice input and generate the audio result. The computing system also comprises an output speaker device configured to output the audio result. The audio result includes a description of whether one or more behavioral health states associated with the user have been detected.

Abstract: A conference management application for a remote conferencing system stores information on a plurality of users and a plurality of client devices though which the plurality of users communicate with the remote conferencing system. The conference management application transmits information for a remote conference to a user, wherein the information that is transmitted is generated by a cognitive engine via learning mechanisms that iteratively incorporate information on previously completed remote conferences, information on the user, and information on the client device used by the user to communicate with the conference management application.