Abstract: According to embodiments of the present invention, techniques are provided for producing energy from one or more energy production sources. Energy consumption and energy production sources for an entity in a geographic location are analyzed. Sensor data based on the analysis of the entity is collected, wherein the sensor data includes crowdsourced sensor data. A model is generated based on the collected sensor data and the analysis of the entity, wherein the model includes optimization criteria for energy production. The model is utilized to determine an energy production source and energy production for the entity. Occurrence of a triggering event is detected, and the energy production source is adjusted based on the detected triggering event. The model is updated based on newly collected sensor data.

Abstract: Using natural language analysis of content at URLs accessed by a user, content metadata is generated. From the content metadata and from activity information associated with a set of URLs accessed by the user, a class model is generated that represents a probability that content referenced by a URL will distract the user. Using the class model to analyze content referenced by a received URL, a probability is forecasted that the content referenced by the received URL will distract the user.

Abstract: Approaches presented herein enable aggregating a set of defined electronic devices to provide a synchronized presentation experience across the devices. Electronic devices for primary and secondary presenters are registered. Identifiers for the devices are defined to link them together and understand which device plays which function related to a presentation session. A synchronization configuration is created in terms of primary and secondary presenter roles. A synchronized presentation stream is generated for display with aggregated synchronization enabled based on the synchronization configuration.

Abstract: From social media content using a processor and a memory, a class model is constructed that is representative of a type and a level of toxicity associated with the content. A first social media message is analyzed, using a processor and a memory, to compute a first toxicity score associated with the first social media message and assign the first social media message to a first class of the class model. A second social media message is analyzed, using a processor and a memory, to compute a second toxicity score associated with the second social media message and assign the second social media message to a second class of the class model. Based on the first toxicity score, the first class, the second toxicity score, and the second class, a toxicity trend is forecasted. In response to the toxicity trend being forecasted to increase, a remedial measure is applied to reduce the toxicity trend.

Abstract: Disclosed embodiments provide techniques for automatically synchronizing a visual presentation with a live presenter. Visual presentation slides are preprocessed to determine one or more topics for each slide. A topic index contains one or more topics corresponding to slides of the presentation. As a presenter provides a verbal presentation for corresponding slides, natural language processing analyzes the verbal presentation and creates one or more temporal verbal topic categories. The temporal verbal topic categories are used to search the topic index to find one or more slides that best match the current temporal verbal topic categories. In this way, the slides can automatically follow the discussion of the presenter, enabling improved presentations that can enhance the user experience, increase audience engagement, and improve the dissemination of information.

Abstract: Bystander effect management can include determining a likelihood of a bystander effect on at least one chat participant engaging in a chat discourse over an electronic communications network. The likelihood can be determined by a bystander effect perception (BEP) model generated based on collaboration interaction metrics derived from prior discourses conducted over the electronic communications network by a chat group. A bystander effect reaction (BER) can be generated in response to determining that the likelihood of the bystander effect exceeds a predetermined threshold, the BER being determined based on the BEP model to be more likely than not to enhance collaboration among at least some chat participants engaging in the chat discourse. A notification based on the BER can be conveyed to one or more chat participants engaging in the chat discourse over the electronic communications network.

Abstract: While a teleconference is occurring, data of a teleconference is analyzed to determine first participant data associated with a first speaker and second participant data associated with a second speaker. At a different application, addition of a first speaker indicator and a second speaker indicator to a text entry of a user is caused, the first speaker indicator added concurrently with identification that the first speaker is speaking and the second speaker indicator added concurrently with identification that the second speaker is speaking. At the different application, addition of key information to a text entry of a user is caused, the key information comprising participant data associated with the first speaker and second participant data associated with the second speaker.

Abstract: Utilizing a computing device to share a social media post with automatically generated dynamic text in a social media service in real time. A computing device receives a social media post from a social media user computer. The computing device monitors social media activities of a social media user computer. The computing device accesses one or more social media activities of social media follower computers. The computing device compares social media activities of the social media user computer with the one or more social media activities of social media follower computers. The computing device aligns the received social media post to a preference model. The computing device generates dynamic text in real time to accompany the received social media post. The computing device outputs the generated dynamic text to the social media user computer to accompany the received social media post.

Abstract: Based on analyzing social media content, a model is constructed representing development of a first user's posts and interactions with other users over time. Using the model, a likelihood is computed that a post of the first user represents constructive dialogue. Using the model, the likelihood, and the post, a trajectory of future posts is forecasted. Responsive to forecasting a negative trajectory, a remedial action to positively alter the trajectory is applied.

Abstract: A computer system performs an action on an object identified from a command. A command is analyzed to perform an action on a target object, wherein the command includes a term for the target object that refers to a plurality of different candidate objects. The target object is identified from the plurality of different candidate objects based on historical associations of the term with specific ones of the candidate objects, recent interactions with the different candidate objects, and a state of the candidate objects provided by network devices. The action is performed on the identified target object. Embodiments of the present invention further include a method and program product for performing an action on an object identified from a command in substantially the same manner described above.

Abstract: Embodiments of the present invention provides methods, computer program products, and a system for providing a shipping and billing address for online product purchases based on a fingerprint of a user. Embodiments of the present invention can be used to request a live scan of a fingerprint, identify a stored address based on the fingerprint, and complete a shipping and billing address section for an online purchase using the stored address. Embodiments of the present invention can be used to collect a fingerprint from a user, match the fingerprint to a database of fingerprints, and acquire a stored address mapped to the fingerprint. Embodiments of the present invention can be used quickly provide a shipping and billing address for an online purchase based on a double-tap gesture made by a user on an electronic device.

Abstract: Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: examining ledger data of a blockchain ledger; examining node data of a plurality of candidate nodes, wherein the examining node data includes examining data of candidate nodal networks associated to respective ones of the plurality of candidate nodes; and transitioning blockchain ledger access in dependence on the examining of the ledger data and in dependence on the examining of the node data, wherein the transitioning blockchain ledger access includes transitioning blockchain ledger access between a first candidate node and a second candidate node of the plurality of candidate nodes.

Abstract: Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: examining ledger data of a blockchain ledger; examining node data of a plurality of candidate nodes, wherein the examining node data includes examining data of candidate nodal networks associated to respective ones of the plurality of candidate nodes; and transitioning blockchain ledger access in dependence on the examining of the ledger data and in dependence on the examining of the node data, wherein the transitioning blockchain ledger access includes transitioning blockchain ledger access between a first candidate node and a second candidate node of the plurality of candidate nodes.

Abstract: Approaches for optimized computer display rendering for user vision conditions are provided. A computer-implemented method includes: detecting, by a computer device, a user at the computer device; sending, by the computer device, data associated with the user to a server; receiving, by the computer device, settings from the server; and automatically rendering, by the computer device, a display of the computer device using the settings.

Abstract: The exemplary embodiments disclose a system and method, a computer program product, and a computer system for managing the distinctiveness of multimedia. The exemplary embodiments may include detecting an input of multimedia data, extracting one or more features from the multimedia data, and determining a distinctiveness of the multimedia based on applying one or more models to the extracted one or more features.

Abstract: Data regarding actions of a population of one or more persons may be received from a plurality of sensors. A baseline of behavior of the population may be determined using the data. Additional data regarding actions of an identified person may be received from one or more of the plurality of sensors. It may be determined that an amount of deviation between the actions of the identified person and the baseline of behavior exceeds a threshold deviation using the additional data. A notification for the identified person relating to the deviation may be generated in response to determining that the amount of deviation is above the threshold deviation.

Abstract: A method, computer system, and computer program product for using sensor data to modify navigation commands. The method may include predicting a user's navigational action and modifying a navigation command based on comparing the user's predicted navigational action to a recommended navigational action. The modifying the navigation command may include communicating a navigation command to a user based on the user's predicted navigational action deviating from a predetermined navigational action. The modifying the navigation command may include suppressing a queued navigation command to a user based on the user's predicted navigational action conforming to a predetermined navigational action. Predicting the user's navigational action may be based on information received from one or more sensors embedded in a vehicle.

Abstract: A mobile device, computer program product for a mobile device and a computer-implemented method of operating a mobile device is disclosed. The mobile device includes a sensor, an animal database and a processor. The sensor receives data regarding an animal proximate the mobile device. The processor compares the data to the animal database to determine a type of animal at the mobile device, and performs an action on the mobile device based on the type of animal in order to manipulate a behavior of the animal.

Abstract: A method of determining the utility of publicly available source code includes analyzing, by one or more processors of a computer system, source code of an application in development, determining, by the one or more processors of the computer system, efficacy of a publicly available target code sample based a discriminant function analysis model, computing, by the one or more processors of the computer system, a goodness of fit assessment of the publicly available target code sample to the application in development based on the analyzing the source code of the application in development, and determining, by the one or more processors of the computer system, whether to use the publicly available target code sample based on the goodness of fit assessment.

Abstract: A method of avoiding speech collisions among participants during teleconferences includes, during a teleconference, performing, using computer hardware, audio analysis of voices of a plurality of participants of the teleconference, determining, using the computer hardware, an emotive state for each of the plurality of participants during the teleconference, generating, using the computer hardware, a user frequency model for each of the plurality of participants based on the audio analysis and the emotive state, and adjusting, using the computer hardware, frequency of a voice of at least one of the plurality of participants during the teleconference based on the user frequency models of the plurality of participants to avoid a speech collision.