Abstract: A method includes: determining, by a videoconference server, a level of tolerated risk for a videoconference between a presenter and an attendee; obtaining, by the videoconference server, sensor data from at least one sensor at a location where a user device of the attendee displays the videoconference; generating, by the videoconference server, a current risk score based on the sensor data; determining, by the videoconference server, the current risk score exceeds the level of tolerated risk; and presenting, by the videoconference server and in response to the determining the current risk score exceeds the level of tolerated risk, an alert to the presenter of the videoconference.

Abstract: A method includes: determining, by a videoconference server, a level of tolerated risk for a videoconference between a presenter and an attendee; obtaining, by the videoconference server, sensor data from at least one sensor at a location where a user device of the attendee displays the videoconference; generating, by the videoconference server, a current risk score based on the sensor data; determining, by the videoconference server, the current risk score exceeds the level of tolerated risk; and presenting, by the videoconference server and in response to the determining the current risk score exceeds the level of tolerated risk, an alert to the presenter of the videoconference.

Abstract: Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: determining a current transportation mode of a user with use of data of a user passenger vehicle associated to the user and data of a user auxiliary passenger vehicle associated to the user, wherein the user passenger vehicle is capable of carrying the user auxiliary vehicle, and wherein the user auxiliary vehicle is configured to be hand carried by the user; evaluating a current route of the user in dependence on the current transportation mode of the user as determined by the determining; and providing one or more output in dependence on the evaluating.

Abstract: Methods, computer program products, and systems are presented. The methods can include, for instance: generating a plurality of deep transfer learning networks. Further, the methods can include, for instance: encoding one or more transfer layers.

Abstract: Methods, computer program products, and systems are presented. The methods include, for instance: generating a plurality of deep transfer learning networks including a source deep transfer learning network for a source domain and a target deep transfer learning network for a target domain. Transfer layers of the source deep transfer learning network are encoded to a chromosome, diversified, and integrated with the target deep transfer learning network and the target deep transfer learning network passing a predefined fitness threshold condition is produced.

Abstract: Pairing a user response and associated context with a neural network associated with a virtual assistant computer during a dynamic text conversation with an end user. The virtual assistant computer receives a detected user generated text input; determines context of the detected user generated text input; compares the context of the detected user generated text input by comparing a confidence score representing context of the user generated input to a classification associated with each of a plurality of existing nodes of a neural network. For confidence scores below a threshold relative to the classification associated with each of the existing nodes of the neural network, the virtual assistant computer creates a new node within the neural network and assigns the context of the user generated text to the new node.

Abstract: A method includes a digital subscription management system (DSMS) receiving from a source system a request to perform an edit of at least one data object, the DSMS sending a request for response (RFR) to subscribing systems having a copy of the at least one data object, the DSMS receiving a response from the subscribing systems, and the DSMS performing the edit.

Abstract: According to one embodiment, a method, computer system, and computer program product for adjusting a microclimate of a structure. The embodiment may include assigning a best-fit microclimate profile for the structure. The embodiment may include identifying heat sources of the structure and respective activity patterns of each identified heat source. The embodiment may include correlating each identified activity pattern to a respective temperature influence on the microclimate. The embodiment may include adjusting a thermostat of the structure based on the identified activity patterns with correlated temperature influences and other factors. The thermostat controls temperature settings for the microclimate.

Abstract: A computer-implemented method, system and computer program product for initiating a conversation by a virtual agent. The boundary of a widget of a webpage the user is utilizing is determined. The user's interactions or lack of interactions with the widget within the determined boundary of the widget of the webpage is then determined, such as based on tracking the eye gaze or focus of the user. If it is determined that the user is experiencing difficulty in utilizing the widget, then the content associated with the widget is extracted. The extracted widget content is then mapped to the virtual agent content. The virtual agent is instructed to initiate a conversation based on the extracted widget content. In this manner, the virtual agent will now be able to dynamically initiate a conversation with the user to assist the user in addressing a problem the user is currently experiencing with the widget.

Abstract: An approach is provided in which an information handling system receives a request for a product from a first entity that includes multiple components. The information handling system determines that the components include a set of printable 3D components and a set of non-printable 3D components. Next, the information handling system sends a set of component instructions to a second entity to print the set of printable 3D components and, in turn, sends a set of assembly instructions to the second entity to assemble the product using the set of 3D printable components and the set of non-printable 3D components.

Abstract: According to a computer-implemented method, a chat data set is received, which chat data set includes information indicative of a plurality of natural language chat transcripts of chats that occurred between a virtual agent and a human. Machine logic analyzes the chat data set to identify an error that occurred in the operation of the virtual agent. The machine logic updates a chat model based on the chat data set.

Abstract: According to a computer-implemented method, a virtual agent log data set is received which log data set includes information indicative of operation of a virtual agent. Machine logic analyzes the virtual agent log data set to identify an error that occurred in the operation of the virtual agent. The machine logic also determines an error correction for correcting conditions in the virtual agent that resulted in the error. The error correction is sent to the virtual agent.

Abstract: Embodiments of the present invention provide notification management across a plurality of electronic communication devices based on the present situational context of the intended communication recipient. Some types of relevant situational context information include the geographic location of the intended recipient, what electronic communication devices they may have in their possession, calendar or schedule information, the presence of other people, the identity of other people present in their vicinity, their relationship to the communication sender, and context information concerning the sender, such as how frequently the sender has attempted to communicate with the intended recipient and news information relevant to the known or assumed location of the sender. Notifications are managed by adjusting which electronic communication devices emit notifications and what type of notifications are emitted.

Abstract: A method and system for modifying media content is provided. The method includes enabling access to first media content. Audio and video data of the first media content is analyzed with respect to external data associated with the first media content and resulting attributes are identified. An overall rating value associated with the first media content is assigned and micro-scenes of the first media content are defined. Each said micro-scene includes audio/video frames of the first media content comprising similar content of the resulting attributes. A micro-rating value for each micro-scene is assigned and the media content the micro-scenes and each micro-rating value is stored in a database.

Abstract: A method and system for modifying an audible command is provided. The method includes continuously receiving audible commands associated with a context of interactions between a user and individuals. The audible commands are analyzed with respect to associated actions and user attributes of the audible commands are identified. Specified information required for executing each command of the audible commands and portions of the specified information associated with specified individuals of the individuals are determined. Digital audio samples of the user are retrieved and assigned to the portions of the specified information with respect to each command. The associated actions are modified with respect to the specified individuals and self-learning software code comprising the modified actions is generated and executed such that the commands are executed with respect to the modified actions.

Abstract: Pairing a user response and associated context with a neural network associated with a virtual assistant computer during a dynamic text conversation with an end user. The virtual assistant computer receives a detected user generated text input; determines context of the detected user generated text input; compares the context of the detected user generated text input by comparing a confidence score representing context of the user generated input to a classification associated with each of a plurality of existing nodes of a neural network. For confidence scores below a threshold relative to the classification associated with each of the existing nodes of the neural network, the virtual assistant computer creates a new node within the neural network and assigns the context of the user generated text to the new node.

Abstract: A system and method compare performance of virtual assistants. A user selects metrics for evaluating two or more virtual assistants, and these metrics may be weighted by the user. One or more chat sessions from each virtual assistant are then analyzed using the weighted metrics to generate a score for each chat session. The scores of chat sessions of different virtual assistants are then compared according to the selected weighted metrics, and a recommendation of a virtual assistant may be made based on the score comparison. The evaluation of multiple virtual assistants allows comparing these virtual assistants to determine which provides the better customer service according to the selected weighted metrics.

Abstract: A method and system for modifying media content is provided. The method includes enabling access to first media content. Audio and video data of the first media content is analyzed with respect to external data associated with the first media content and resulting attributes are identified. An overall rating value associated with the first media content is assigned and micro-scenes of the first media content are defined. Each said micro-scene includes audio/video frames of the first media content comprising similar content of the resulting attributes. A micro-rating value for each micro-scene is assigned and the media content the micro-scenes and each micro-rating value is stored in a database.

Abstract: Methods, computer program products, and systems are presented. The methods include, for instance: generating a plurality of deep transfer learning networks including a source deep transfer learning network for a source domain and a target deep transfer learning network for a target domain. Transfer layers of the source deep transfer learning network are encoded to a chromosome, diversified, and integrated with the target deep transfer learning network and the target deep transfer learning network passing a predefined fitness threshold condition is produced.

Abstract: A computer-implemented method, system and computer program product for initiating a conversation by a virtual agent. The boundary of a widget of a webpage the user is utilizing is determined. The user's interactions or lack of interactions with the widget within the determined boundary of the widget of the webpage is then determined, such as based on tracking the eye gaze or focus of the user. If it is determined that the user is experiencing difficulty in utilizing the widget, then the content associated with the widget is extracted. The extracted widget content is then mapped to the virtual agent content. The virtual agent is instructed to initiate a conversation based on the extracted widget content. In this manner, the virtual agent will now be able to dynamically initiate a conversation with the user to assist the user in addressing a problem the user is currently experiencing with the widget.