Abstract: Embodiments are directed to techniques for secure network connectivity. The techniques including a system having a credential server storing a Personal-Public (PP) Service Set. Identifier (SSID) profile configured according to registration information provided from a personal computing device. The system further including a Wireless Access Point (WAP) communicatively coupled to the credential server and configured to implement a PP SSID connection using the PP SSID profile to create a single-device, single-use, password-protected, unadvertised, and encrypted networking channel between the personal computing device and the Internet.

Abstract: Methods, systems, and computer program products for training an artificial intelligence (AI) of a voice response system. Aspects include receiving, by the voice response system from a user, a voice command to perform a requested action and interpreting, by an AI model, the voice command. Aspects also include performing an action based on the interpretation of the voice command and receiving non-verbal feedback from the user. Aspects further include updating the AI model based on a determination that the non-verbal feedback indicates that the user is not satisfied with the action performed.

Abstract: A method, computer system, and a computer program product for task monitoring is provided. The present invention may include training an AI voice response system based on task performance data, wherein the task performance data originates from at least one monitoring device. The present invention may include receiving a request for instructions to complete a task from a user. The present invention may include monitoring a performance of the task by the user, wherein the performance of the task by the user is monitored utilizing at least one monitoring device. The present invention may include determining differences between the performance of the task by the user and a task sequence.

Abstract: A method, computer system, and a computer program product for determining micro-insurance premium values is provided. The present invention may include generating a digital twin based on an object identified by a user. The present invention may include modifying the digital twin using data received from the object identified by the user. The present invention may include simulating a performance of the modified digital twin in a plurality of conditions. The present invention may include determining a micro-insurance premium value for the object.

Abstract: Data-analysis-based processing is provided to detect that a potential traffic event identified by a navigation system for a travel route is FALSE. The processing obtains movement data from multiple devices associated with one or more vehicles passing along the travel route in the vicinity of the potential traffic event, where the multiple devices are multiple electronic devices with Global Positioning System (GPS) capability, and obtains, based on the movement data, relative movement data between devices of the multiple devices associated with the one or more vehicles. Based at least in part on the relative movement data between devices of the multiple devices, the processing ascertains that the detected potential traffic event is FALSE, and initiates an action based on determining that the detected potential travel event is a FALSE traffic event.

Abstract: Detecting spatial positioning between a user's hands and an object, using a wearable device, to provide feedback to a user. Motion data of a person's body motion while performing an action can be received at a computer. The motion data can include sensor data from sensors at a location where the sensors detect the person's body motion. The sensors can include a wearable device on the person's body. The computer can be used to model the person's body motion using the motion data. A set of parameters for acceptable motions is determined based on an action risk assessment of the action. Feedback can be initiated to the person, using the wearable device, based on the person's body motion exceeding a body motion threshold based on the set of parameters for the acceptable motions and the model.

Abstract: Techniques for patterned and correlated electrical activity include receiving user data from a device of a user and anonymized data from other devices of other users, the user data and the anonymized data being received based on the device and the other devices having been co-located. The user data is compared to the anonymized data according to an activity. It is determined that an event occurred based on one or more deviations of the user data from the anonymized data according to the activity, the event being related to a health of the user.

Abstract: Using a sentiment analysis model, a reaction to a presentation of a first content is measured. Using the first content and the reaction, a content generation parameter is determined. Using a first content generation model and the content generation parameter, second content corresponding to the first content is generated. Using a second content generation model and the content generation parameter, third content corresponding to the first content is generated. The first content is adjusted by combining the first content with the second content and the third content, the adjusting resulting in an adjusted content.

Abstract: A method, computer system, and a computer program product for filtering a phone call are provided. An incoming phone call to a phone is detected. Call metadata from the incoming phone call is received. The call metadata is compared to entries of a learned relationship filter. The entries of the learned relationship filter are obtained by monitoring behavior of a phone user on the phone during previous calls to the phone and application usage on the phone so that learned relationships to the phone user are identified and saved. The learned relationship filter provides a filtering response. The filtering response is performed to the incoming phone call.

Abstract: An autonomic function executing in an artificial intelligence environment determines that a fused model responsive to a new problem space has below a threshold level of accuracy in the new problem space. A spliced layer in the fused model is autonomically cloned, the spliced layer having been extracted from a second model and inserted at a location in the fused model. The cloned layer is autonomically inserted at a second location in the fused model. An automatically constructed vector transformation transforms an output vector of a previous layer in an immediately previous location in the model relative to the second location. The cloned layer is automatically fused in the fused model using the transformed output vector as input to the cloned layer, forming a deep fused model that has a revised accuracy that is higher than the accuracy relative to an ontology of the new problem space.

Abstract: 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.

Abstract: A method, a computer program product, and a computer system transmit an authenticated communication. The method being performed by a sending device includes transmitting a request to an authentication server indicating that the authenticated communication is to be transmitted. The method includes receiving a security token from a security device that is co-located with the sending device. The security token is received by the security device from the authentication server. The method includes generating the authenticated communication by incorporating the security token in a communication. The method includes transmitting the authenticated communication to a recipient device.

Abstract: Machine learning model training corpus debiasing includes identifying an attribute of input text selected from the training corpus, the attribute including word(s) of the input text, and the attribute corresponding to an attribute class encompassing different possible class values, recognizing bias in the input text with respect to the attribute class, and generating output text corresponding to the attribute and imparting diversity with respect to the attribute class and relative to the input text, where generating the output text uses an optimization function based on loss objectives to minimize loss in the generated output text as compared to the input text.

Abstract: A method, system, and computer program product for generating context-based tailored emoticons within a communication scenario are provided. The method receives detects an emotion of a user within a communication stream. A set of candidate emojis are generated. A set of emoticons are generated from the set of candidate emojis and a representation of the user. The set of emoticons are presented to the user in a user interface on a computing device associated with the user. The method incorporates a selected emoticon of the set of emoticons into the communication stream with the selected emoticon being selected by the user from the user interface.

Abstract: Non-intrusive image identification includes acquiring an image and connectivity data at a network-connected computing node via a data communications network. The image is captured by an image-capturing device remotely located from the computing node. The connectivity data is associated with one or more devices located within a predetermined vicinity of the image-capturing device. Connectivity data can be correlated with electronically stored networking data associated with the one or more devices to determine an identity of one or more device users. The correlating includes electronically searching one or more network-connected sources of networking data and, based on the connectivity data, matching the one or more devices to the one or more device users. Image-tagging data corresponding to one or more selected individual device users is generated, and the image is tagged with the image-tagging data for identifying one or more individuals appearing in the image.

Abstract: Provided is a method, computer program product, and system for modifying an input command by a virtual assistant. A processor may receive an input command from a user. The processor may determine a contextual environment surrounding a virtual assistant. The processor may detect, based on the contextual environment, sensitive information in the input command. The processor may replace the sensitive information with generic information. The processor may respond to the input command with an output response based, in part, on the generic information.

Abstract: A route from a first physical location to a second physical location is divided into a set of segments using a route optimization engine. Using a user response analysis model, a response to a physical environment associated with a segment in the set of segments is scored, the scoring resulting in a score. Using a content generation model and the score, the physical environment is augmented, the augmenting combining the physical environment and a generated environment.

Abstract: Classification and visualization of user interactions with an interactive computing platform is provided by building and providing a graphical user interface (GUI) of graphical elements for display on a display device. The graphical elements present (i) visualizations of user interactions between users and an interactive computing platform in progression of the users through tasks based on the user interactions and (ii) identified features of the user interactions relative to the tasks and progression of the users therethrough. The building and providing includes, for each of the tasks, building and providing a respective task element that reflects identified features of a set of user interactions of one or more users in progressing through that task. Building a task element for a task includes building the task element as a polygon having vertices corresponding to subtasks of the task and edges between the vertices.

Abstract: Provided is a method, system, and computer program product for analyzing an electronic health record (EHR) using robotic process automation (RPA). A processor may analyze an EHR associated with a user. The processor may identify, based on analyzing the EHR, one or more health parameters that are outside of a threshold range. The processor may determine a set of recommended actions that may be performed to cause the health parameter to fall within the threshold range. The processor may analyze activity data associated with the user. The processor may identify, based on the activity data, a set of known activities performed by the user. The processor may correlate the recommended actions with the known activities to identify a subset of personalized actions that are specific to the user. The processor may send the subset of personalized actions to the user.

Abstract: Aspects of the present invention disclose a method for identifying indications of an attack on a cellular network. The method includes one or more processors scanning a geographic area of a cellular network, wherein the geographic area includes a plurality of transceivers of the cellular network. The method further includes identifying a symptom that impacts a transceiver of the cellular network based at least in part on connectivity between a computing device and the plurality transceivers of the cellular network. The method further includes performing one or more assessments on the transceiver of the cellular network impacted by the symptom. The method further includes determining whether the symptom of the cellular network is associated with an attack on the cellular network based at least in part on the one or more assessments.