Shikhar Kwatra

Aspects of the present invention disclose a method to derive optimal notification content to be delivered to one or plurality of users based on congregating contextual information from interconnected devices. The method includes one or more processors identifying an interaction of a user with a computing device. The method further includes determining a first set of conditions of an operating environment that includes the interaction of the user with the computing device. The method further… Show more

Aspects of the present invention disclose a method to derive optimal notification content to be delivered to one or plurality of users based on congregating contextual information from interconnected devices. The method includes one or more processors identifying an interaction of a user with a computing device. The method further includes determining a first set of conditions of an operating environment that includes the interaction of the user with the computing device. The method further includes determining a relationship between the first set of conditions of the operating environment and the interaction of the user with the computing device. The method further includes generating a knowledge base that includes the determined relationship, the first set of conditions of the operating environment, and the interaction of the user with the computing device. The method further includes generating a notification message for the user based on the knowledge base. Show less

A computer-implemented method for adapting a deep learning model to a local environment includes collecting training data; training a common deep learning model using the collected training data; customizing the deep learning model based on characteristics specific to one of a plurality of local devices utilizing transfer learning; and deploying the customized deep learning model to the one of the plurality of local devices. The customized deep learning model may be trained across a… Show more

A computer-implemented method for adapting a deep learning model to a local environment includes collecting training data; training a common deep learning model using the collected training data; customizing the deep learning model based on characteristics specific to one of a plurality of local devices utilizing transfer learning; and deploying the customized deep learning model to the one of the plurality of local devices. The customized deep learning model may be trained across a hierarchy comprising: a central common model trained on data from all devices in the plurality of devices; a location based model trained on a first set of data from devices in the plurality of devices within a location proximity; and a device based model trained on a data from one device in the plurality of devices. Show less

Aspects of the present invention disclose a method for routing one or more autonomous vehicles to minimize a density of autonomous vehicles and passengers passing through network areas with oversubscribed bandwidth. The method includes one or more processors determining a bandwidth requirement of a first autonomous vehicle. The method further includes determining respective bandwidth requirement for one or more additional autonomous vehicles utilizing a wireless network. The method further… Show more

Aspects of the present invention disclose a method for routing one or more autonomous vehicles to minimize a density of autonomous vehicles and passengers passing through network areas with oversubscribed bandwidth. The method includes one or more processors determining a bandwidth requirement of a first autonomous vehicle. The method further includes determining respective bandwidth requirement for one or more additional autonomous vehicles utilizing a wireless network. The method further includes determining a total bandwidth capacity of one or more nodes of the wireless network. The method further includes determining routing instructions from a current location of the first autonomous vehicle to a destination of the first autonomous vehicle based at least in part on the bandwidth requirement of the first autonomous vehicle and the total bandwidth capacity of the one or more nodes of the wireless network. Show less

Provided is a method, a system, and a program product for determining a policy using semi-supervised reinforcement learning. The method includes observing a state of an environment by a learning agent. The method also includes taking an action by the learning agent. The method further includes observing a new state of the environment and calculating a reward for the action taken by the learning agent. The method also includes determining whether a policy related to the learning agent should be… Show more

Provided is a method, a system, and a program product for determining a policy using semi-supervised reinforcement learning. The method includes observing a state of an environment by a learning agent. The method also includes taking an action by the learning agent. The method further includes observing a new state of the environment and calculating a reward for the action taken by the learning agent. The method also includes determining whether a policy related to the learning agent should be changed. The determination is conducted by a teaching agent that inputs the state of the environment and the reward as features. The method can also include changing the policy related to the learning agent upon a determination that a label outputted by the teaching agent exceeds a reward threshold. Show less

A computer-implemented method for assigning one or more conveyor belts to convey a plurality of items. The computer-implemented method determines an availability of one or more conveyor belts, determines a quantity of a plurality of items to be loaded onto the one or more conveyor belts, and assigns the one or more conveyor belts to convey the plurality of items, based on the determined quantity of the plurality of items to be loaded onto the one or more conveyor belts. The computer-implemented… Show more

A computer-implemented method for assigning one or more conveyor belts to convey a plurality of items. The computer-implemented method determines an availability of one or more conveyor belts, determines a quantity of a plurality of items to be loaded onto the one or more conveyor belts, and assigns the one or more conveyor belts to convey the plurality of items, based on the determined quantity of the plurality of items to be loaded onto the one or more conveyor belts. The computer-implemented method further tracks a location of each of the plurality of items on the assigned one or more conveyor belts, associates each of the plurality of items with a user, and directs the user to the one or more conveyor belts based on the tracked location of each of the plurality of items associated with the user. Show less

A tool for mobile thermal load balancing in a data center . The tool determines a heat signature pattern for one or more data center units based on a plurality of heat signatures over a pre - determined time period . The tool determines a high heat signature zone within a confined region of the data center based , at least in part , on a current arrangement of the one or more data center units . Responsive to a determination that a high heat signature zone within the data center exceeds a… Show more

A tool for mobile thermal load balancing in a data center . The tool determines a heat signature pattern for one or more data center units based on a plurality of heat signatures over a pre - determined time period . The tool determines a high heat signature zone within a confined region of the data center based , at least in part , on a current arrangement of the one or more data center units . Responsive to a determination that a high heat signature zone within the data center exceeds a predetermined heat threshold , the tool rearranges the one or more data center units within the high heat signature zone to a region within the data center that balances a thermal load associated with the high heat signature zone across the data center. Show less

An approach for notifying a passenger of a route deviation during travel. The approach includes calculating a passenger route deviation from a predicted travel route and comparing the passenger route deviation to a predefined threshold route deviation. The approach further includes providing the passenger a notification of a route deviation if the deviation exceeds a predefined route deviation threshold. In addition, the approach determines if the passenger acknowledged the route deviation… Show more

An approach for notifying a passenger of a route deviation during travel. The approach includes calculating a passenger route deviation from a predicted travel route and comparing the passenger route deviation to a predefined threshold route deviation. The approach further includes providing the passenger a notification of a route deviation if the deviation exceeds a predefined route deviation threshold. In addition, the approach determines if the passenger acknowledged the route deviation notification within a predetermined time period and if the passenger fails to acknowledge the notification, then provides the notification to one or more third parties. Show less

Embodiments for managing viewer engagement of online content by one or more processor are described. Content posted on an online channel is detected. A viewer engagement component associated with the content is received. A portion of the content is selected based on the received viewer engagement component. A signal representative of the selected portion of the content is generated.

A head mounted display (HMD) device worn by a user in a vehicular computing environment (VCE) can be augmented with video by measuring, within the VCE, a sight angle between a user's directional focus and a vehicle's directional orientation and augmenting, in response to a determination that the measured sight angle exceeds a threshold limit, an interface of the HMD device with a video feed of continuous live content captured within a central viewing area.

Automatically managing ameliorative process that controls undesired code use in an application based on predicted valuation and risk vectors. A multidimensional risk vectors may be received in relation to current and future use of undesired code. Amelioration actions may be classifies by using a custom trained machine learning model. An optimal amelioration action may be selected based on at least one optimization objective function. The selected amelioration action may be taken to control… Show more

Automatically managing ameliorative process that controls undesired code use in an application based on predicted valuation and risk vectors. A multidimensional risk vectors may be received in relation to current and future use of undesired code. Amelioration actions may be classifies by using a custom trained machine learning model. An optimal amelioration action may be selected based on at least one optimization objective function. The selected amelioration action may be taken to control undesired code use in application. Examples of an amelioration action may include changing of the characteristics of a user interface and stopping an application or a component of the application from running. Show less

Selecting and displaying a profile photo may include determining viewer characteristics of a viewer who is triggering an action to open an image file that shows a photo image. A context associated with viewing of the profile photo and photo image characteristics of a plurality of photos may be determined. Based on the viewer characteristics, the photo image characteristics and the context associated with viewing of the profile photo, a photo from the plurality of photos may be selected… Show more

Selecting and displaying a profile photo may include determining viewer characteristics of a viewer who is triggering an action to open an image file that shows a photo image. A context associated with viewing of the profile photo and photo image characteristics of a plurality of photos may be determined. Based on the viewer characteristics, the photo image characteristics and the context associated with viewing of the profile photo, a photo from the plurality of photos may be selected. Responsive to determining that the selected photo is to be transformed, a transformed version of the photo image may be generated and displayed. Show less

A first mobile device may receive user-input data for generation of an electronic message. The electronic message may be generated as the user-input data is received. The first mobile device may identify sensitive information, within the electronic message. The first mobile device may secure the sensitive information. The first mobile device may disable a screen capture function of the first mobile device. The first mobile device may send the electronic message to a second mobile device. The… Show more

A first mobile device may receive user-input data for generation of an electronic message. The electronic message may be generated as the user-input data is received. The first mobile device may identify sensitive information, within the electronic message. The first mobile device may secure the sensitive information. The first mobile device may disable a screen capture function of the first mobile device. The first mobile device may send the electronic message to a second mobile device. The sending of the electronic message to the second mobile device may include the sending of the secured sensitive information. Show less

Embodiments of the invention are directed to a computer-implemented method that includes receiving, by a controller, information of a user. The information is targeted for inclusion within an application document. The method also includes determining a cognitive context of the user. The method also includes generating, by the controller, an output data comprising a suggested content. The suggested content is based at least in part on the determined cognitive context.

Embodiments for managing mobile devices by one or more processors are described. A plurality of mobile devices are detected at a first location. After the plurality of mobile devices are detected at the first location, a first of the plurality of mobile devices is detected traveling to a second location while a second of the plurality of mobile devices remains at the first location. In response to the plurality of mobile devices being detected at the first location and the first of the… Show more

Embodiments for managing mobile devices by one or more processors are described. A plurality of mobile devices are detected at a first location. After the plurality of mobile devices are detected at the first location, a first of the plurality of mobile devices is detected traveling to a second location while a second of the plurality of mobile devices remains at the first location. In response to the plurality of mobile devices being detected at the first location and the first of the plurality of mobile devices being detected traveling to the second location while the second of the plurality of mobile devices remains at the first location, data detected by the second of the plurality of mobile devices at the first location is enabled to be transmitted to the first of the plurality of mobile devices at the second location. Show less

Methods and systems for cognitive state aware accelerated activity completion and amelioration are disclosed . A method includes : collecting data related to a cognitive state of a user and a physical state of the user ; determining a type of an activity performed by the user and an amount of work for the activity ; determining the cognitive state of the user and the physical state of the user based on the data related to the cognitive state of the user and the physical state of the user… Show more

Methods and systems for cognitive state aware accelerated activity completion and amelioration are disclosed . A method includes : collecting data related to a cognitive state of a user and a physical state of the user ; determining a type of an activity performed by the user and an amount of work for the activity ; determining the cognitive state of the user and the physical state of the user based on the data related to the cognitive state of the user and the physical state of the user , determining a predicted completion time for the activ ity based on the type of the activity , the amount of work for the activity , the cognitive state of the user , and the physical state of the user ; and displaying a progress indicator includ ing a portion of the activity that has been completed and an estimated completion time. Show less

Aspects of the present disclosure relate to emergency evacuation. An emergency can be detected at an emergency location. A type of the emergency can be determined. Prospective safe locations proximate to the emergency location can be identified. A safety rating of each prospective safe location can be determined based on the type of emergency. A number of at-risk individuals at the emergency location can be determined. A subset of drop-off locations of the prospective safe locations that have a… Show more

Aspects of the present disclosure relate to emergency evacuation. An emergency can be detected at an emergency location. A type of the emergency can be determined. Prospective safe locations proximate to the emergency location can be identified. A safety rating of each prospective safe location can be determined based on the type of emergency. A number of at-risk individuals at the emergency location can be determined. A subset of drop-off locations of the prospective safe locations that have a safety rating that satisfies a safety threshold can be selected, the subset of drop-off locations satisfying a size limit required for the number of at-risk individuals. A set of autonomous vehicles required for the number of at-risk individuals can then be determined. The set of autonomous vehicles can be deployed to the emergency location. Show less

A computer - implemented method includes: determining, by a computer device, an interaction pattern of a website based on actions of plural users at the website ; generating, by the computer device, a demonstration video based on the inter action pattern; and presenting, by the computer device, the demonstration video to a user visiting the website for a first time .

A user's cognitive state of a user who is using a device is estimated . Based on past history of use of the device and the estimated user's cognitive state , a possible deleterious user action on the device is detected . Based on the detected possible deleterious user action on the device , the device can be caused to perform an amelioration action for time period P.

A method, computer system, and a computer program product for environment personalization is provided. The present invention may include initializing a profile of a user. The present invention may include defining a baseline within the profile of the user. The present invention may include tracking a plurality of user data. The present invention may include storing the tracked plurality of user data in a tracked user database. The present invention may lastly include optimizing an environmental… Show more

A method, computer system, and a computer program product for environment personalization is provided. The present invention may include initializing a profile of a user. The present invention may include defining a baseline within the profile of the user. The present invention may include tracking a plurality of user data. The present invention may include storing the tracked plurality of user data in a tracked user database. The present invention may lastly include optimizing an environmental condition based on the tracked plurality of user data. Show less

Intelligent action recommendation in a conversation monitors content of a conversation among at least two participants in real time. An overall goal of the conversation that represents a motivation for at least one of the participants to engage in the conversation is identified. The overall goal of the conversation is to be achieved upon termination of the conversation. At least one conversational input relevant to the monitored content and having a likelihood of advancing the conversation to… Show more

Intelligent action recommendation in a conversation monitors content of a conversation among at least two participants in real time. An overall goal of the conversation that represents a motivation for at least one of the participants to engage in the conversation is identified. The overall goal of the conversation is to be achieved upon termination of the conversation. At least one conversational input relevant to the monitored content and having a likelihood of advancing the conversation to successful achievement of the overall goal of the conversation is identified. The identified conversational input is communicated to at least one of the participants in the conversation. Show less

A method selects content based on a learning relevancy targeted to specific recipients. One or more processors extract semantic features, which provide meanings of concepts, from each content asset from a plurality of content assets. The processor(s) utilize a clustering algorithm to group entries in the content assets based on the semantic features in order to form hierarchical consolidated entries for the semantic features, where each hierarchical consolidated entry is associated with one of… Show more

A method selects content based on a learning relevancy targeted to specific recipients. One or more processors extract semantic features, which provide meanings of concepts, from each content asset from a plurality of content assets. The processor(s) utilize a clustering algorithm to group entries in the content assets based on the semantic features in order to form hierarchical consolidated entries for the semantic features, where each hierarchical consolidated entry is associated with one of the semantic features. The processor(s) then provide a representation of each of the hierarchical consolidated entries based on a target audience criteria. Show less

A request for use of an application programming interface( API ) is received. Context associated with the request is determined. Based on the context, a challenge is generated, which can be used for determining whether to permit the use of the API. A response to the challenge is received. Based on the response, the request can be facilitated for using the API

An exemplary apparatus includes a memory embodying computer executable instructions and at least one processor, coupled to the memory, and operative by the computer executable instructions to facilitate a method. The method includes tracking a topic and a context of an electronic conversation in a first communication channel by using a machine learning method to process the electronic conversation; identifying confusion in a participant of the electronic conversation regarding a change in the… Show more

An exemplary apparatus includes a memory embodying computer executable instructions and at least one processor, coupled to the memory, and operative by the computer executable instructions to facilitate a method. The method includes tracking a topic and a context of an electronic conversation in a first communication channel by using a machine learning method to process the electronic conversation; identifying confusion in a participant of the electronic conversation regarding a change in the topic or the context; identifying a user-effective communication channel for alerting the participant to the change in the topic or the context; and alerting the participant of the change in the topic or the context via the user-effective communication channel. Show less

A method and system are provided for implementing enhanced cognitive searches optimized to integrate deployment with development testing. An initial body of works is ingested into a system capable of answering questions. A series of queries is analyzed against the initial body of works utilizing a set of scorers utilizing criteria to form assessments, wherein each scorer uses the criteria against the query and the initial body of works to form the assessment. The assessments are analyzed to… Show more

A method and system are provided for implementing enhanced cognitive searches optimized to integrate deployment with development testing. An initial body of works is ingested into a system capable of answering questions. A series of queries is analyzed against the initial body of works utilizing a set of scorers utilizing criteria to form assessments, wherein each scorer uses the criteria against the query and the initial body of works to form the assessment. The assessments are analyzed to determine a usefulness of a set of entries in the initial body of works. Content are deployed using the identified selected first set of entries as deployment ready, enabling enhanced cognitive search results. Show less

A method, computer system, and computer program product for form-based conversation system design are provided. The embodiment may include ingesting, by a processor, a plurality of forms from a given domain. The embodiment may also include extracting indicators of required input fields from the ingested plurality of forms. The embodiment may further include generating a required input list based on the extracted indicators of the required input fields to update a size of the required input… Show more

A method, computer system, and computer program product for form-based conversation system design are provided. The embodiment may include ingesting, by a processor, a plurality of forms from a given domain. The embodiment may also include extracting indicators of required input fields from the ingested plurality of forms. The embodiment may further include generating a required input list based on the extracted indicators of the required input fields to update a size of the required input list. The embodiment may also include determining transactional intents based on the required input list. The embodiments may further include generating a dialog flow that satisfies the determined transactional intents. Show less

Embodiments for managing electronic communications by one or more processors are described. A plurality of historical communications are analyzed. Each of the plurality of historical communications is associated with at least one of a plurality of recipients. Reactions of the plurality of recipients to each of the plurality of historical communications associated therewith are analyzed. The analysis of the reactions includes normalizing the reactions to determine a consensus of the reactions. A… Show more

Embodiments for managing electronic communications by one or more processors are described. A plurality of historical communications are analyzed. Each of the plurality of historical communications is associated with at least one of a plurality of recipients. Reactions of the plurality of recipients to each of the plurality of historical communications associated therewith are analyzed. The analysis of the reactions includes normalizing the reactions to determine a consensus of the reactions. A current communication associated with a sender and the plurality of recipients is analyzed. The current communication is modified based on the analyses of the plurality of historical communications, the reactions of the plurality of recipients, and the current communication. The modified current communication is caused to be transmitted to at least one of the sender and at least some of the plurality of recipients. Show less

Aspects of the present invention generate a vector value representing a state of a host device hosting a videoconference that is attended by a plurality of participant videoconference devices, wherein the host device controls audio and video distributed for the videoconference to others of the participant videoconference devices, evaluate the vector value to determine a change in the vector value during the videoconference, identify a plurality of second host devices of the plurality of… Show more

Aspects of the present invention generate a vector value representing a state of a host device hosting a videoconference that is attended by a plurality of participant videoconference devices, wherein the host device controls audio and video distributed for the videoconference to others of the participant videoconference devices, evaluate the vector value to determine a change in the vector value during the videoconference, identify a plurality of second host devices of the plurality of participant videoconference devices that are each enabled to control the audio and video distributed for the videoconference to others of the participant videoconference devices, and in response to determining that the change in the vector value exceeds a threshold, switch control of the videoconference from the host device to one of the second host devices. Show less

Embodiments of the present invention provide a method, system, and program product for event detection and/or notification of events occurring. A user monitoring system sends messages based on determinations of impacts associated with the user. The monitoring system receives data from at least one computing device affixed to a user. The data corresponds to a pattern of movement of the user. The monitoring system determines that the user is performing an activity that has an associated known… Show more

Embodiments of the present invention provide a method, system, and program product for event detection and/or notification of events occurring. A user monitoring system sends messages based on determinations of impacts associated with the user. The monitoring system receives data from at least one computing device affixed to a user. The data corresponds to a pattern of movement of the user. The monitoring system determines that the user is performing an activity that has an associated known pattern of impacts. The system generates a customized pattern of impacts for the activity by modifying the known pattern of impacts based on the pattern of movement of the user. The system generates a message based on a comparison of measured movement data of the user and the customized pattern of impacts. Show less

An artificial neural network trained to predict the availability of an unused duration of a parking space based on input features is executed. Input features may include at least a contextual situation associated with the second entity, a behavior factor associated with a first entity that has been using the parking space, geographical location and time, events occurring within a threshold distance from the parking space. The artificial neural network may be further trained to output a transfer… Show more

An artificial neural network trained to predict the availability of an unused duration of a parking space based on input features is executed. Input features may include at least a contextual situation associated with the second entity, a behavior factor associated with a first entity that has been using the parking space, geographical location and time, events occurring within a threshold distance from the parking space. The artificial neural network may be further trained to output a transfer affinity based on the predicted availability of an unused duration, the contextual situation associated with the second entity and the behavior factor associated with the first entity. Based at least on the transfer affinity, the second entity can be selected. The unused duration can be transferred to the second entity from the first entity. The transferring can also include storing a payment and associated computation as a blockchain node in a blockchain. Show less

An example operation may include one or more of computing historical patterns related to fraudulent attempts from a transaction log, predicting future fraud attempts from public data, correlating the historical patterns and the predicted future fraud attempts, modifying one or more first endorsement policies based on the correlations, preventing modifying one or more second endorsement policies, the one or more second endorsement policies providing read-only access, and adding the modified one… Show more

An example operation may include one or more of computing historical patterns related to fraudulent attempts from a transaction log, predicting future fraud attempts from public data, correlating the historical patterns and the predicted future fraud attempts, modifying one or more first endorsement policies based on the correlations, preventing modifying one or more second endorsement policies, the one or more second endorsement policies providing read-only access, and adding the modified one or more first endorsement policies to a smart contract. Show less

An example operation may include one or more of computing historical patterns related to fraudulent attempts from a transaction log, predicting future fraud attempts from public data, correlating the historical patterns and the predicted future fraud attempts, modifying one or more endorsement policies based on the correlations, and adding the modified one or more endorsement policies to a smart contract.

Embodiments for controlling a remote sensing device by one or more processors are described. Facial information associated with a plurality of organisms is received. A remote sensing direction for a remote sensing device is selected based on the received facial information. A signal representative of the remote sensing direction is generated.

A method for creating a customized virtual shopping experience may include receiving physical-world shopping data of a first user. The physical-world shopping data may be collected while the first user is physically present in a physical-world shopping environment. The method may also include configuring a virtual shopping environment based at least in part on the physical-world shopping data of the first user, and displaying to the first user the virtual shopping environment.

Embodiments for intelligent cluster learning in an Internet of Things (IoT) computing environment by a processor. One or more interactive actions, engagements, behaviors, communications, biometric data, parameters, or combination thereof relating to one or more IoT devices may be analyzed. A user profile may be clustered into a cluster of profiles according to the one or more interactive actions, engagements, behaviors, communications, biometric data, parameters, or combination thereof using… Show more

Embodiments for intelligent cluster learning in an Internet of Things (IoT) computing environment by a processor. One or more interactive actions, engagements, behaviors, communications, biometric data, parameters, or combination thereof relating to one or more IoT devices may be analyzed. A user profile may be clustered into a cluster of profiles according to the one or more interactive actions, engagements, behaviors, communications, biometric data, parameters, or combination thereof using one or more machine learning operations. Access to one or more functional assets and parameters associated with the one or more IoT devices may be automatically enabled or disabled. Show less

Provided is a system, method, and computer program product for filtering spoken content in a preferred format to a plurality of users within a communication session A processor may detect spoken content from a first user and a second user of a plurality of users within a communication session over a network. Speech features may be extracted from the detected spoken content. The first user and second user may be identified based on the extracted speech features. The spoken content of the first… Show more

Provided is a system, method, and computer program product for filtering spoken content in a preferred format to a plurality of users within a communication session A processor may detect spoken content from a first user and a second user of a plurality of users within a communication session over a network. Speech features may be extracted from the detected spoken content. The first user and second user may be identified based on the extracted speech features. The spoken content of the first user and the second user may be filtered according to preferences determined from profiles of the plurality of users. The spoken content of the first user and the second user may be transmitted to the plurality of users in a preferred format based on preferences from the profiles. Show less

A method, computer system, and a computer program product for adjusting a plurality of environmental conditions of a vehicle based on a plurality of environmental conditions of an expected destination is provided. The present invention may include monitoring the plurality of environmental conditions of a vehicle by utilizing at least one vehicle device sensor. The present invention may then include retrieving the plurality of environmental conditions of an expected destination of the vehicle… Show more

A method, computer system, and a computer program product for adjusting a plurality of environmental conditions of a vehicle based on a plurality of environmental conditions of an expected destination is provided. The present invention may include monitoring the plurality of environmental conditions of a vehicle by utilizing at least one vehicle device sensor. The present invention may then include retrieving the plurality of environmental conditions of an expected destination of the vehicle. The present invention may also include determining a delta between the monitored plurality of environmental conditions of the vehicle and the retrieved plurality of environmental conditions of the expected destination of the vehicle. The present invention may further include adjusting, over a gradual period of time, the monitored plurality of environmental conditions of the vehicle. Show less

A method, computer system, and computer program product for dynamic interaction behavior commentary are provided. The embodiment may include receiving, by a processor, a plurality of posted comments. The embodiment may also include analyzing the plurality of posted comments based on a semantic distance of the topic of discussion measured by content analysis of the plurality of posted comments. The embodiment may further include determining optimal frameworks for a plurality of users in response… Show more

A method, computer system, and computer program product for dynamic interaction behavior commentary are provided. The embodiment may include receiving, by a processor, a plurality of posted comments. The embodiment may also include analyzing the plurality of posted comments based on a semantic distance of the topic of discussion measured by content analysis of the plurality of posted comments. The embodiment may further include determining optimal frameworks for a plurality of users in response to a comment from a user within the plurality of posted comments. The embodiment may also include identifying interaction behavior responses containing statistically significant words or phrases that may improve a tone of the next comment when the user responds to a certain post. The embodiment may further include notifying the user when the next statement is generated based on a pre-identified or dynamically-learned interaction behavior comment. The embodiment may also include prompting the user, via a graphical user interface, with suggested timelines and places where a comment should be inserted. Show less

A context-driven sender communication awareness method, system, and computer program product include detecting an intent of a sender sending an electronic communication to a receiver over a communication channel, establishing a potential risk to the receiver in connection with receiving the electronic communication on a device, determining an estimated time duration in which the established potential risk is applicable, and alerting the sender about the potential risk that results from… Show more

A context-driven sender communication awareness method, system, and computer program product include detecting an intent of a sender sending an electronic communication to a receiver over a communication channel, establishing a potential risk to the receiver in connection with receiving the electronic communication on a device, determining an estimated time duration in which the established potential risk is applicable, and alerting the sender about the potential risk that results from delivering of the electronic communication within the estimated time duration. Show less

Embodiments relate to an intelligent computer platform to support natural language (NL) processing. The request is analyzed and a lexical answer type (LAT) related to the received request is identified. A knowledge graph (KG) related to the LAT is identified and leveraged to extract a first concept related to the LAT and a second concept related to the first concept. First and second cluster are created, with the first cluster having the LAT and first concept as qualifiers, and the second… Show more

Embodiments relate to an intelligent computer platform to support natural language (NL) processing. The request is analyzed and a lexical answer type (LAT) related to the received request is identified. A knowledge graph (KG) related to the LAT is identified and leveraged to extract a first concept related to the LAT and a second concept related to the first concept. First and second cluster are created, with the first cluster having the LAT and first concept as qualifiers, and the second cluster having the first and second concepts as qualifiers. Each of the formed clusters is populated with one or more documents. An inter-cluster assessment is conducted based on the relevancy of the populated document(s) to the received input. In addition, a machine learning model (MLM) corresponding to the KG is identified and utilized to selectively augment the MLM with the LAT, first and second concepts, and a corresponding relationship to the inter-cluster assessment. Show less

Embodiments relate to an intelligent computer platform to receive a request for processing against a corpus. The request is analyzed and a lexical answer type (LAT), a first concept relevant to the received request and a second concept related to the identified first concept, are each identified. The LAT, together with the first and second concepts are utilized to create a first and second cluster. Documents are selectively populated into the clusters based on the respective LAT and concept… Show more

Embodiments relate to an intelligent computer platform to receive a request for processing against a corpus. The request is analyzed and a lexical answer type (LAT), a first concept relevant to the received request and a second concept related to the identified first concept, are each identified. The LAT, together with the first and second concepts are utilized to create a first and second cluster. Documents are selectively populated into the clusters based on the respective LAT and concept qualifiers. The clusters are subject to sorting based on relevancy to the received request. Show less

Methods, computer program products, and systems are presented. The methods include, for instance: predicting an upcoming communication content in a current channel based on learning input data from a plurality of sources relevant to a communication activity of a user. A user response to the predicted content is assessed and a communication channel model for the factors including the input data is selected. A user satisfaction level with the current channel is checked against a predefined… Show more

Methods, computer program products, and systems are presented. The methods include, for instance: predicting an upcoming communication content in a current channel based on learning input data from a plurality of sources relevant to a communication activity of a user. A user response to the predicted content is assessed and a communication channel model for the factors including the input data is selected. A user satisfaction level with the current channel is checked against a predefined threshold for the selected communication channel model. For the current channel that is less than satisfactory, an adaptive action is taken to adapt the current channel to another for the user. Show less

Embodiments for managing an electronic document by one or more processors are described. An entry for a first of a plurality of fillable fields of an electronic document is received. A recommended entry for at least a second of the plurality of fillable fields is determined based on at least one data source associated with a user. A signal representative of the determined recommended entry for the at least a second of the plurality of fillable fields is generated.

Embodiments for managing a chatbot by one or more processors are described. A communication is received from a first individual. The presence of a second individual within a proximity of a speaker is detected. A response to the communication is determined based on the communication and the detected presence of the second individual. The determined response is caused to be executed.

Embodiments for managing communications by one or more processors are described. A communication sent to a first individual is detected. A reaction score for the first individual consuming the communication is calculated based on at least one data source associated with at least one of the first individual and a second individual. The communication is caused to be rendered with an indication of the calculated reaction score by a computing node associated with the first individual.

Embodiments for managing a multi-channel computing environment by one or more processors are described. A user simultaneously interacting with a plurality of computing nodes is detected. A computing node prioritization strategy for future user interaction with at least one of the plurality of computing nodes is determined based on at least one data source associated with at least one of the detected user interaction with the plurality of computing nodes and the user. The future user interaction… Show more

Embodiments for managing a multi-channel computing environment by one or more processors are described. A user simultaneously interacting with a plurality of computing nodes is detected. A computing node prioritization strategy for future user interaction with at least one of the plurality of computing nodes is determined based on at least one data source associated with at least one of the detected user interaction with the plurality of computing nodes and the user. The future user interaction with at least one of the plurality of computing nodes is at least limited based on the determined computing node prioritization strategy. Show less

Embodiments for managing communications by one or more processors are described. Communication content is received from an individual. At least one communication channel to which to send the communication content is selected. The at least one communication channel is selected from a plurality of communication channels based on the communication content and at least one data source associated with the plurality of communication channels. A notification of the at least one selected communication… Show more

Embodiments for managing communications by one or more processors are described. Communication content is received from an individual. At least one communication channel to which to send the communication content is selected. The at least one communication channel is selected from a plurality of communication channels based on the communication content and at least one data source associated with the plurality of communication channels. A notification of the at least one selected communication channel is generated.
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Embodiments for managing voice commands by one or more processors are described. The receiving of a voice command from an individual is detected. An action associated with the voice command is caused to be at least temporarily prevented from being executed based on at least one data source associated with the individual.

Embodiments for implementing intelligent driving comfort adjustment of an autonomous vehicle by a processor. A user experience satisfaction level may be determined during a journey within an autonomous vehicle according to historical user experience satisfaction levels, a user profile, one or more contextual factors, or a combination thereof. One or more performance characteristics of the autonomous vehicle may be adjusted if a user experience satisfaction level is less than a predetermined… Show more

Embodiments for implementing intelligent driving comfort adjustment of an autonomous vehicle by a processor. A user experience satisfaction level may be determined during a journey within an autonomous vehicle according to historical user experience satisfaction levels, a user profile, one or more contextual factors, or a combination thereof. One or more performance characteristics of the autonomous vehicle may be adjusted if a user experience satisfaction level is less than a predetermined threshold. Show less

Embodiments for managing a voice response system by one or more processors are described. At least one communication from an individual is received. A reference to a previous response executed by a voice response system is identified within the at least one received communication. A response to the at least one received communication is determined based on the previous response executed by the voice response system.

Embodiments for managing hazard risk by one or more processors are described. A presence of an individual at a location is detected. A hazard risk score is calculated based on at least one data source associated with at least one of the individual and the location. A notification of the calculated hazard risk score is caused to be generated.

A method for creating content includes making a corpus of images available, adding a plurality of tag data to each of the images, receiving a query, extracting a trigger from the query, identifying a set of the images in the corpus, wherein identified images have tag data matching the extracted trigger, and creating a video comprising the identified images.

Systems and methods for deriving confidence scores based on device sharing are disclosed. In embodiments, a method includes receiving, by a computing device, sharing event data from a remote computing device in a comparative confidence environment, the sharing event data including usage data regarding the sharing of an electronic device between a first participant and a second participant obtained by the remote computing device during a sharing event; calculating, by the computing device, a… Show more

Systems and methods for deriving confidence scores based on device sharing are disclosed. In embodiments, a method includes receiving, by a computing device, sharing event data from a remote computing device in a comparative confidence environment, the sharing event data including usage data regarding the sharing of an electronic device between a first participant and a second participant obtained by the remote computing device during a sharing event; calculating, by the computing device, a comparative confidence score for the first participant and the second participant based on the sharing event data; and enabling, by the computing device, the first participant to gain access to a resource of the second participant based on the comparative confidence score. Show less

A first set of data signals is received from a first user device associated with a first user. Temporal properties associated with the first user are determined from the first set of data signals. The temporal properties may include a current cognitive state of the first user and environment context associated the first user. Responsive to detecting the temporal properties, contact entries associated with the first user device are dynamically structured. A second user is selected from the… Show more

A first set of data signals is received from a first user device associated with a first user. Temporal properties associated with the first user are determined from the first set of data signals. The temporal properties may include a current cognitive state of the first user and environment context associated the first user. Responsive to detecting the temporal properties, contact entries associated with the first user device are dynamically structured. A second user is selected from the dynamically structured contact entries. The first user device may be automatically or autonomously triggered to initiate a communication with the second user via the first user device. Show less

The present invention is a system and method that generates a Table of Contents (TOC) customized to the user knowledge about the concept(s) in the user query and the specific context and preferences of the user. The invention identifies search concepts within the search queries, receives search results, and splits the search results into one or more result segments. In a preferred embodiment, a correlation strength between concepts in one or more of the result segments and the user search… Show more

The present invention is a system and method that generates a Table of Contents (TOC) customized to the user knowledge about the concept(s) in the user query and the specific context and preferences of the user. The invention identifies search concepts within the search queries, receives search results, and splits the search results into one or more result segments. In a preferred embodiment, a correlation strength between concepts in one or more of the result segments and the user search query, along with reference to the user knowledge, context, and/or preferences determine which result segments are selected in sequenced to form the TOC. Show less

Embodiments for managing content by one or more processors are described. A content portion associated with a user is detected. A storage scheme for the content portion is selected based on at least one data source associated with utilization of previous content portions by the user. The content portion is caused to be stored on a computing device according to the selected storage scheme.

A method identifies and removes bias from a machine learning model. A user/computer inputs a plurality of input training data into a machine learning system to generate an output of labeled output data. The user/computer evaluates the labeled output data according to a consistency metric to associate the labeled output data with a corresponding consistency assessment. The user/computer selects each labeled output data having a consistency assessment indicating a consistency assessment that is… Show more

A method identifies and removes bias from a machine learning model. A user/computer inputs a plurality of input training data into a machine learning system to generate an output of labeled output data. The user/computer evaluates the labeled output data according to a consistency metric to associate the labeled output data with a corresponding consistency assessment. The user/computer selects each labeled output data having a consistency assessment indicating a consistency assessment that is greater than a predetermined threshold to form a labeled output data subset, and then creates additional labeling for the labeled output data subset. The user/computer utilizes the additional labeling to distinguish each labeled training data from labeled output data subset as being mislabeled and biased, and then adjusts the learning machine based on the labeled output data subset being mislabeled and biased. Show less

Embodiments for intelligent media data filtering in an Internet of Things (IoT) computing environment by a processor. User preferences for the media data may be determined according to a plurality of identified contextual factors. At least a portion of the media data may be filtered according to one or more user classifications.

A system transfers power between a plurality of devices. Content is displayed to a group of users. An amount of power required by the system to at least complete display of the content is determined. In response to the required amount of power exceeding the power in a rechargeable power source of the system, one or more devices that are associated with users of the group are identified, wherein the identified devices each include a power source. Power is wirelessly received from the identified… Show more

A system transfers power between a plurality of devices. Content is displayed to a group of users. An amount of power required by the system to at least complete display of the content is determined. In response to the required amount of power exceeding the power in a rechargeable power source of the system, one or more devices that are associated with users of the group are identified, wherein the identified devices each include a power source. Power is wirelessly received from the identified one or more devices. Embodiments of the present invention further include a method and program product for transferring power between a plurality of devices in substantially the same manner described above. Show less

A social media control method, system, and computer program product, include detecting a contextual meaning of a content of a third-party post on a user's social media account, classifying the content into user-defined categories based on an overlap between the contextual meaning and the user-defined categories, identifying an undesired piece of information from the content, identifying a trusted online friend within a social media circle of the user, and providing a one-time access control to… Show more

A social media control method, system, and computer program product, include detecting a contextual meaning of a content of a third-party post on a user's social media account, classifying the content into user-defined categories based on an overlap between the contextual meaning and the user-defined categories, identifying an undesired piece of information from the content, identifying a trusted online friend within a social media circle of the user, and providing a one-time access control to the identified trusted online friend to rectify the undesired content in the third-party post. Show less

Embodiments relate to a system, program product, and method for use with an intelligent computer platform and cognitive processing and associated distribution. The embodiments support a mechanism for dynamically sharing critical and non-critical information responsive to a classification model, such that only relevant information or part of the information is shared. As the classification model is subject to modification, the dynamic sharing mechanism is dynamically updated to reflect such… Show more

Embodiments relate to a system, program product, and method for use with an intelligent computer platform and cognitive processing and associated distribution. The embodiments support a mechanism for dynamically sharing critical and non-critical information responsive to a classification model, such that only relevant information or part of the information is shared. As the classification model is subject to modification, the dynamic sharing mechanism is dynamically updated to reflect such modification. Similarly, as an associated document or file is subject to modification, dynamic processing of the document or file takes place responsive to the classification model. The dynamic classification and document processing employ NLP and ML models to support the associated functionality. Show less

Embodiments for rendering content, such as a teleconference, by one or more processors are described. A personalized presentation rendering profile for at least one individual is received. Portions of the content are selected based on the personalized presentation rendering profile. A rendering of the content is caused to be generated. The rendering of the content includes rendering the selected portions of the content in a manner different than other portions of the content.

A method for heat-based control of a surveillance system is provided. The method may include detecting a first pattern of heat transferred from a heat source based on a first sensor dataset corresponding to a first event, determining an expected pattern of heat to be transferred from the heat source during a second event based on the first pattern of heat transfer, and generating a surveillance model based on the expected pattern of heat transfer. The method may further include detecting a… Show more

A method for heat-based control of a surveillance system is provided. The method may include detecting a first pattern of heat transferred from a heat source based on a first sensor dataset corresponding to a first event, determining an expected pattern of heat to be transferred from the heat source during a second event based on the first pattern of heat transfer, and generating a surveillance model based on the expected pattern of heat transfer. The method may further include detecting a second pattern of heat transferred from the heat source based on a second sensor dataset corresponding to the second event, detecting the heat source during the second event with respect to the second pattern of heat transfer, and determining a threat level corresponding to a security risk posed by the heat source with respect to the environment. Show less

An inventive system includes a first electronic device, such as a cellular phone, that implements a method of detecting a voice conversation via the first electronic device; detecting an interruption of continuity of the voice conversation; and adapting operation of the first electronic device to maintain the continuity of the voice conversation. For example, adapting operation of the first electronic device may include auto-completing the voice conversation during the interruption of… Show more

An inventive system includes a first electronic device, such as a cellular phone, that implements a method of detecting a voice conversation via the first electronic device; detecting an interruption of continuity of the voice conversation; and adapting operation of the first electronic device to maintain the continuity of the voice conversation. For example, adapting operation of the first electronic device may include auto-completing the voice conversation during the interruption of continuity. As another example, adapting operation of the first electronic device may include generating a text summary of the voice conversation during the interruption of continuity by activating a speech-to-text function and then transmitting to a second electronic device an electronic signal encoding the text summary. The method may include detecting a level of importance of the voice conversation by identifying a topic of the voice conversation. Show less

Embodiments for managing medical anomalies by one or more processors are described. Medical data associated with an individual is received. The medical data is detected by a first computing device. The first computing device includes a mobile electronic device. The received medical data is compared to stored medical data associated with the individual. Based on the comparison of the received data to the stored data, a control signal for a second computing device is caused to be generated.

According to various embodiments, systems, computer program products, and computer implemented methods for cognitive location and navigation services for custom applications are disclosed. More specifically, the cognitive location and navigation services include, but are not limited to: multilingual, point-specific communication; cognitive navigational guidance through a tourist attraction; and beacon-based communication with a vehicle are disclosed. For instance, one embodiment of… Show more

According to various embodiments, systems, computer program products, and computer implemented methods for cognitive location and navigation services for custom applications are disclosed. More specifically, the cognitive location and navigation services include, but are not limited to: multilingual, point-specific communication; cognitive navigational guidance through a tourist attraction; and beacon-based communication with a vehicle are disclosed. For instance, one embodiment of multilingual, point-specific communication includes receiving a request for delivery of announcements relating to a particular event; receiving or retrieving itinerary information corresponding to the particular event and a user that submitted the request; receiving audio data from a location corresponding to the particular event based at least in part on the itinerary information; translating the audio data into a plurality of translated messages, each translated message being in a different language; and providing at least one of the translated messages to the user that submitted the request. Show less

Embodiments for optimizing media content in an Internet of Things (IoT) environment. User information is collected by a first, embedded IoT computing device associated with a user. The collected user information is transmitted from the first computing device to a second, content-displaying IoT computing device. Characteristics of media content rendered by the second computing device are then rendered according to an analyzation of the user information received from the first computing device.

Embodiments for managing a communication session by one or more processors are described. A communication session including a plurality of communications sent between a plurality of entities is monitored. A recommended communication for the communication session is determined based on the plurality of communications and at least one data source associated with at least one of the plurality of entities. A signal representative of the recommended communication is generated.

Embodiments for managing electronic communications by one or more processors are described. A plurality of electronic messages are received. Each of the plurality of electronic messages is associated with a respective one of a plurality of topics. A portion of the plurality of topics is selected. A signal representative of the plurality of electronic messages that are associated with the selected portion of the plurality of topics is generated.

Embodiments for implementing intelligent web navigation by at least a portion of a processor. One or more uniform resource locators (URLs) may be accessed (e.g., opened) according a user history of Internet activities, user preferences, one or more current user activities, calendar data, or a combination thereof. Selected feedback may be gathered (e.g., collected) from the user relating to the one or more URLs according to activities of the user performed on the one or more URLs. The one or… Show more

Embodiments for implementing intelligent web navigation by at least a portion of a processor. One or more uniform resource locators (URLs) may be accessed (e.g., opened) according a user history of Internet activities, user preferences, one or more current user activities, calendar data, or a combination thereof. Selected feedback may be gathered (e.g., collected) from the user relating to the one or more URLs according to activities of the user performed on the one or more URLs. The one or more URLs may be classified into one of a plurality of classifications to indicate a degree of relevancy to the user. Show less

Embodiments for managing content by one or more processors are described. A rendering of a first content portion by a first computing node is detected. A second content portion is received. The second content portion is associated with the first content portion. A second computing node is selected based on at least one of a location of the second computing node, an activity of an individual, and the second content portion. The second content portion is caused to be rendered by the second… Show more

Embodiments for managing content by one or more processors are described. A rendering of a first content portion by a first computing node is detected. A second content portion is received. The second content portion is associated with the first content portion. A second computing node is selected based on at least one of a location of the second computing node, an activity of an individual, and the second content portion. The second content portion is caused to be rendered by the second computing node. Show less

A negator module of a predictive motion system determines initial parameters for a passenger profile using a virtual reality system of an autonomous vehicle. The negator module receives upcoming driving conditions from an autonomous navigation system of the autonomous vehicle during a ride in which the passenger resides in a seat of the autonomous vehicle and uses the virtual reality system. Using a cognitive model, the negator module predicts a cognitive state of the passenger based on the… Show more

A negator module of a predictive motion system determines initial parameters for a passenger profile using a virtual reality system of an autonomous vehicle. The negator module receives upcoming driving conditions from an autonomous navigation system of the autonomous vehicle during a ride in which the passenger resides in a seat of the autonomous vehicle and uses the virtual reality system. Using a cognitive model, the negator module predicts a cognitive state of the passenger based on the passenger profile and the upcoming driving conditions. The negator module determines commands for actuators coupled to the seat and commands for the virtual reality system that match the predicted cognitive state of the passenger. The negator module sends the commands to the actuators and the virtual reality system to be executed. Show less

Embodiments for using an intelligent hearing aid device by a processor. Audio data may be received and analyzed for a user according to a plurality of user preferences and interests, historical activity patterns of the user, or a combination thereof. One or more hearing assistive actions may be performed in relation to the audio data to facilitate hearing according to the plurality of user preferences and interests, historical activity patterns of the user, or a combination thereof.

Embodiments for intelligent updating of media data by a processor. One or more data sources may be searched to identify updated data content for streamed media data. The data content may be updated in the streamed media data with the updated data content from the one or more data sources according to a defined priority.

Embodiments for facilitating cognitive conflict resolution between parties by a processor. An appropriateness of communications, behavior, actions or events associated with one or more users may be cognitively interpreted according to a plurality of identified contextual factors during a conflict resolution. One or more corrective actions may be suggested to mitigate a possible negative impact of the communications, behavior, actions or events upon the one or more users if the interpreted… Show more

Embodiments for facilitating cognitive conflict resolution between parties by a processor. An appropriateness of communications, behavior, actions or events associated with one or more users may be cognitively interpreted according to a plurality of identified contextual factors during a conflict resolution. One or more corrective actions may be suggested to mitigate a possible negative impact of the communications, behavior, actions or events upon the one or more users if the interpreted appropriateness is less than a predetermined threshold. Show less

Embodiments for intelligent teleconference operations in an Internet of Things (IoT) computing environment by a processor. A communication connection for a conference call session may be cognitively initiated or terminated with one or more users according to one or more parameters associated with a user profile, a schedule of the one or more users, activities of daily living (“ADL”), one or more contextual factors, or a combination thereof.

Embodiments for managing text in rendered images by one or more processors are described. An image rendered by a display device is detected. The rendered image includes an object component and a text component at least partially overlapping the object component. A size of the object component of the image is caused to change. Based on a comparison of the changed size of the object component of the image to a size of the text component of the image, one or more text modification option is caused… Show more

Embodiments for managing text in rendered images by one or more processors are described. An image rendered by a display device is detected. The rendered image includes an object component and a text component at least partially overlapping the object component. A size of the object component of the image is caused to change. Based on a comparison of the changed size of the object component of the image to a size of the text component of the image, one or more text modification option is caused to be rendered by the display device. An indication of a selection of at least one of the one or more text modification option is received. The text component of the image is caused to change based on the selected one or more text modification option. Show less

Embodiments for implementing intelligent illumination and sound characteristics control in an Internet of Things (IoT) computing environment by a processor. An intensity and quality of an illumination and sound characteristics of displayed media content in an IoT computing environment may be monitored and analyzed. A risk factor of one or more users may be estimated for both current settings and a predicted adjustment of the illumination and sound characteristics associated with displayed media… Show more

Embodiments for implementing intelligent illumination and sound characteristics control in an Internet of Things (IoT) computing environment by a processor. An intensity and quality of an illumination and sound characteristics of displayed media content in an IoT computing environment may be monitored and analyzed. A risk factor of one or more users may be estimated for both current settings and a predicted adjustment of the illumination and sound characteristics associated with displayed media content according to the analyzing. The illumination, the sound characteristics, or combination thereof of the displayed media content may be adjusted upon determining the risk factor for the one or more users is above a selected threshold. Show less

A set of learner data associated with a learner is received. The set of learner data includes at least a real-time data stream, e.g., derived from instrumentation, in a social network enabled digital learning environment. Based on the set of learner data, at least one learning improvement strategy is determined for improving the learner's learning capability. Atomic level mentorship activities are generated. Each atomic level mentorship activity is targeted with a specific skill and knowledge… Show more

A set of learner data associated with a learner is received. The set of learner data includes at least a real-time data stream, e.g., derived from instrumentation, in a social network enabled digital learning environment. Based on the set of learner data, at least one learning improvement strategy is determined for improving the learner's learning capability. Atomic level mentorship activities are generated. Each atomic level mentorship activity is targeted with a specific skill and knowledge item and having an estimated duration period. At least one mentorship is identified from at least one social network platform. An initial incentive structure comprising at least an amount of payment and payment modality is created. The atomic level mentorship activities with the initial incentive structure are presented. Show less

A computer system tracks geographical locations traversed by a user to provide location based services. One or more geographical locations traversed by a user are tracked via a portable location device. Geo-fencing areas corresponding to the one or more geographical areas are determined. One or more geo-fencing area profile scores are generated for the user based on attributes of the traversal of the geo-fencing areas. Re-location of the user to a new geographic location is detected via the… Show more

A computer system tracks geographical locations traversed by a user to provide location based services. One or more geographical locations traversed by a user are tracked via a portable location device. Geo-fencing areas corresponding to the one or more geographical areas are determined. One or more geo-fencing area profile scores are generated for the user based on attributes of the traversal of the geo-fencing areas. Re-location of the user to a new geographic location is detected via the portable location device. Location-based services are provided for the new geographic location based on at least one geo-fencing area profile score of the user. Embodiments of the present invention further include a method and program product for tracking geographical locations traversed by a user to provide location based services in substantially the same manner described above. Show less

Embodiments for managing personal device security by one or more processors are described. Information associated with activity of a personal device is received. The information is detected utilizing a sensor coupled to the personal device. A signal representative of the received information is generated. An operational state of the personal device is caused to be changed after the generating of the signal.

Embodiments for intelligent notification mode switching in user equipment (UE) by a processor. Data may be received from one or more UEs associated with one or more users. Electronic communication switching factors associated with the one or more users may be identified. An implication of a switching notification mode on the one or more UEs based on the electronic communication switching factors may be learned. An electronic communication modes of the one or more UEs associated with the one or… Show more

Embodiments for intelligent notification mode switching in user equipment (UE) by a processor. Data may be received from one or more UEs associated with one or more users. Electronic communication switching factors associated with the one or more users may be identified. An implication of a switching notification mode on the one or more UEs based on the electronic communication switching factors may be learned. An electronic communication modes of the one or more UEs associated with the one or more users may be cognitively switched according to the learned implication. Show less

Embodiments for providing intelligent recommendation of guidance instructions to a user by a processor. A user may be cognitively recognized performing a selected task on an item using one or more Internet of Things (“IoT”) computing devices. One or more guidance instructions may be provided/suggested for assisting with performing the selected task according to identified contextual factors. The user may be cognitively guided to perform the selected task using the one or more guidance… Show more

Embodiments for providing intelligent recommendation of guidance instructions to a user by a processor. A user may be cognitively recognized performing a selected task on an item using one or more Internet of Things (“IoT”) computing devices. One or more guidance instructions may be provided/suggested for assisting with performing the selected task according to identified contextual factors. The user may be cognitively guided to perform the selected task using the one or more guidance instructions. Show less

Embodiments for inductive charging multiple devices computing environment by a processor. One or more devices may be prioritized for receiving a power charge via a wireless charging device according to one or more power charging parameters. A selected amount of the power charge may be provided to the one or more prioritized devices, via the wireless charging device, according to the one or more power charging parameters.

Embodiments for managing viewer engagement of live streaming events by one or more processors are described. A plurality of viewer engagement components associated with a live streaming event are received. A grade for each of the plurality of viewer engagement components is determined based on information associated with the live streaming event. A rendering of at least some of the plurality of viewer engagement components by a computing node is caused to at least be delayed based on the… Show more

Embodiments for managing viewer engagement of live streaming events by one or more processors are described. A plurality of viewer engagement components associated with a live streaming event are received. A grade for each of the plurality of viewer engagement components is determined based on information associated with the live streaming event. A rendering of at least some of the plurality of viewer engagement components by a computing node is caused to at least be delayed based on the determined grades. Show less

Embodiments for intelligent design structure selection in an Internet of Things (IoT) computing environment by a processor. Levels of satisfaction and behavior patterns of one or more users having similar user profiles influencing the behavior patterns may be learned and evaluated. One or more design structure solutions may be cognitively suggested according to the levels of satisfaction and the behavior patterns.

Controlling contents of interfaces may include receiving multiple interfaces presented on a display screen. The multiple interfaces may include at least one primary task interface and each of the multiple interfaces may present at least one content item. A user engagement level with respect to content items presented via the multiple interfaces may be estimated. A degree of user effectiveness with respect to progression toward completing a primary task presented via the primary task interface… Show more

Controlling contents of interfaces may include receiving multiple interfaces presented on a display screen. The multiple interfaces may include at least one primary task interface and each of the multiple interfaces may present at least one content item. A user engagement level with respect to content items presented via the multiple interfaces may be estimated. A degree of user effectiveness with respect to progression toward completing a primary task presented via the primary task interface may be determined. A content item may be selected from the multiple interfaces based on the user engagement level and the degree of user effectiveness. A presentation of the selected content item may be made in a controlled manner on an unused portion of at least one of the multiple interfaces. Show less

Embodiments for intelligent notification during an event in an Internet of Things (IoT) computing environment by a processor. During a scheduled event, user activity for one or more users and geolocation of the one or more active UEs linked to the event may be monitored using a machine learning operation. A notification may be provided to one or more UEs associated with the user to alert the user to respond to the query upon determining the user failed to respond to the query during the event… Show more

Embodiments for intelligent notification during an event in an Internet of Things (IoT) computing environment by a processor. During a scheduled event, user activity for one or more users and geolocation of the one or more active UEs linked to the event may be monitored using a machine learning operation. A notification may be provided to one or more UEs associated with the user to alert the user to respond to the query upon determining the user failed to respond to the query during the event. The notification may be terminated or disabled upon learning the user or an alternative user responded to the query. Show less

A smart lens system may include a hardware processor coupled to a smart contact lens, which may include a microprocessor, an image capturing sensor, and a wireless communication interface. The smart lens system may determine reading factors associated with a user with respect to the user reading content item, based on data related to the user's physiological movements captured by the smart contact lens. The reading factors may include a user's cognitive state determined at least from analyzing… Show more

A smart lens system may include a hardware processor coupled to a smart contact lens, which may include a microprocessor, an image capturing sensor, and a wireless communication interface. The smart lens system may determine reading factors associated with a user with respect to the user reading content item, based on data related to the user's physiological movements captured by the smart contact lens. The reading factors may include a user's cognitive state determined at least from analyzing data representing the user's physiological movements. Responsive to determining that the user's cognitive state is above a threshold value, the smart lens system may generate an assistive action associated with the content item and transmit a signal to at least one assistive device to perform the assistive action. The assistive device performs the assistive action responsive to receiving the signal. Show less

A method includes producing a user profile in response to user data; obtaining context for estimating the duration of a down-time; estimating the duration of the down-time; determining experience enhancement factors in response to the user profile and the estimated duration of the down-time; determining an activity selection model in response to the context, the user data, and the experience enhancement factors; generating personalized engaging activities by applying the activity selection… Show more

A method includes producing a user profile in response to user data; obtaining context for estimating the duration of a down-time; estimating the duration of the down-time; determining experience enhancement factors in response to the user profile and the estimated duration of the down-time; determining an activity selection model in response to the context, the user data, and the experience enhancement factors; generating personalized engaging activities by applying the activity selection model to a plurality of potential activities; partitioning the estimated duration of the down-time into segments; sequencing the personalized engaging activities to fit into the segments; and presenting the personalized engaging activities to the user via a computing device. A computer readable medium embodies instructions for the method and an apparatus including a processor is operative to facilitate the method. Show less

A method includes obtaining a user profile that includes a user's affinities to each of a plurality of micro-tasks; estimating a duration of down-time for the user; estimating task selection factors responsive to the user profile and to the estimated duration of down-time; generating a list of micro-tasks responsive to the task selection factors; ranking the list of micro-tasks according to the user's affinities; partitioning the down-time according to the ranked list of micro-tasks; and… Show more

A method includes obtaining a user profile that includes a user's affinities to each of a plurality of micro-tasks; estimating a duration of down-time for the user; estimating task selection factors responsive to the user profile and to the estimated duration of down-time; generating a list of micro-tasks responsive to the task selection factors; ranking the list of micro-tasks according to the user's affinities; partitioning the down-time according to the ranked list of micro-tasks; and presenting one or more of the micro-tasks to the user, according to the partitioning of the down-time, by altering operation of a user device. Show less

A system, computer program product, and method are provided to analyze an interaction associated with a dialogue. An intelligent real-time analytics using natural language processing (NLP) monitors and analyzes customer dialogue. The system performs analytics on a detected or received dialogue to mine data associated with attributes unique to one or more human communication patterns. The NLP-based system generates and measures a tone, and classifies the tone into a category.

Embodiments for facilitating ride scheduling by a processor. An occurrence of an event associated with a user may be predicted based on user data. One or more ride scheduling parameters relating to the event may be determined. One or more ride scheduling models may be determined satisfying the ride scheduling parameters. Facilitate scheduling a vehicle for the user according to the ride scheduling models.

Embodiments for enhancing communications for a user by a processor. An appropriateness of communications may be learned for communicating with a user based on one or more disabilities relating to the user. One or more customized communications may be created based on the learned appropriateness of the communications for the user. The customized communications may be modified, adjusted, and/or polished based on reaction to the customized communications by the user, a caregiver of the user, or a… Show more

Embodiments for enhancing communications for a user by a processor. An appropriateness of communications may be learned for communicating with a user based on one or more disabilities relating to the user. One or more customized communications may be created based on the learned appropriateness of the communications for the user. The customized communications may be modified, adjusted, and/or polished based on reaction to the customized communications by the user, a caregiver of the user, or a combination thereof. Show less

A reward learning system includes a user interface configured to receive modes of user information related to a state of the user. A cognitive computing system includes a reward system. The reward system includes a dynamically upgraded profile model of the user which is updated in accordance with the user information related to the state. The reward system is updated by machine learning employing feedback from user responses measured by the user interface and searched information by the… Show more

A reward learning system includes a user interface configured to receive modes of user information related to a state of the user. A cognitive computing system includes a reward system. The reward system includes a dynamically upgraded profile model of the user which is updated in accordance with the user information related to the state. The reward system is updated by machine learning employing feedback from user responses measured by the user interface and searched information by the cognitive computing system. The reward system includes an increasing reward protocol based on learned user preferences and responses and rewarded in accordance with user achievements. Show less

Embodiments for rendering holographic content by one or more processors are described. A security level associated with holographic content is determined. A security clearance associated with a viewer within a proximity of a holographic display is determined. The holographic content is caused to be rendered in a first mode or a second mode by the holographic display based on the determined security level associated with the holographic content and the determined security clearance associated… Show more

Embodiments for rendering holographic content by one or more processors are described. A security level associated with holographic content is determined. A security clearance associated with a viewer within a proximity of a holographic display is determined. The holographic content is caused to be rendered in a first mode or a second mode by the holographic display based on the determined security level associated with the holographic content and the determined security clearance associated with the viewer.
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Technical solutions are described for controlling an artificial intelligent gaming device. For example, a computer-implemented method includes identifying an electronic opponent profile for an opponent. The computer-implemented method also includes selecting, from a profile repository, a first set of robot profiles, where robots trained using robot profiles from the first set of robot profiles have previously defeated the opponent. The computer-implemented method also includes selecting, from… Show more

Technical solutions are described for controlling an artificial intelligent gaming device. For example, a computer-implemented method includes identifying an electronic opponent profile for an opponent. The computer-implemented method also includes selecting, from a profile repository, a first set of robot profiles, where robots trained using robot profiles from the first set of robot profiles have previously defeated the opponent. The computer-implemented method also includes selecting, from the profile repository, a second set of robot profiles, where robots trained using robot profiles from the second set of robot profiles have previously lost to the opponent. The computer-implemented method also includes generating a current robot profile based on the first set of robot profiles and the second robot profiles. The computer-implemented method also includes configuring a robot according to the current robot profile to play against the opponent.
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During a 3D printing process to form a 3D printed object, an at least partially completed 3D printed object formed by the 3D printing process is scanned. An error on the at least partially completed 3D printed object is detected based on the scanning of the at least partially completed 3D printed object. The error on the at least partially completed 3D printed object is corrected. The correcting of the error includes causing at least some material from the partially completed 3D printed object… Show more

During a 3D printing process to form a 3D printed object, an at least partially completed 3D printed object formed by the 3D printing process is scanned. An error on the at least partially completed 3D printed object is detected based on the scanning of the at least partially completed 3D printed object. The error on the at least partially completed 3D printed object is corrected. The correcting of the error includes causing at least some material from the partially completed 3D printed object to be removed. Show less

Data-analysis-based validation of product review data and linking to product record
data are provided to facilitate forwarding product-related guidance.

Embodiments for intelligent temporary contact sharing between user equipment (UE) by a processor. A temporary exchange of contact data may be provided between a first UE and a second UE via a wireless communication network according to one or more policies, user preferences, historical data, a defined physical or virtual proximity between the first UE and the second UE, or a combination thereof. The contact data may be automatically deleted between the first UE and the second UE according to… Show more

Embodiments for intelligent temporary contact sharing between user equipment (UE) by a processor. A temporary exchange of contact data may be provided between a first UE and a second UE via a wireless communication network according to one or more policies, user preferences, historical data, a defined physical or virtual proximity between the first UE and the second UE, or a combination thereof. The contact data may be automatically deleted between the first UE and the second UE according to the one or more policies, the user preferences, the historical data, the defined physical or virtual proximity between the first UE and the second UE, or a combination thereof. Show less