Abstract: Computer-implemented methods for wireless power transfer among multiple vehicles are provided. Aspects include identifying a group of vehicles, from a plurality of vehicles, that require charging and identifying a wireless charging capability of each vehicle of the group of vehicles. Aspects also include deploying wireless power chargers to the vehicles of the group of vehicles that do not have wireless charging capability and charging each vehicle of the group of vehicles using a wireless power transfer module. The charging of the group of vehicles is performed while the vehicles are in motion.

Abstract: According to an aspect, a computer-implemented method includes identifying applications in a network environment that perform periodic data extraction and data transmission operations and identifying a frequency and a data transmission load for each of the operations. Aspects also include predicting an available bandwidth in the network environment based at least in part on the periodic data extraction and data transmission operations and based on a determination that the available bandwidth in the network environment will fall below a threshold value during a time interval instructing the applications to modify the one or more of the periodic data extraction and data transmission operations to increase the frequency associated with the one or more of the periodic data extraction and data transmission operations.

Abstract: A method and system provide computer system security for a focus computer system (FCS). The method comprises creating a security digital twin (SDT) for the FCS with an associated security ontology for the FCS. A potential threat analyzer receives a potential threat object (PTO), and maps it to an enterprise attack vector pattern. The method further comprises searching, on another computer system (OCS) for a predicted attack pattern having a similar pattern to the enterprise attack vector pattern. Conditioned upon finding the predicted attack pattern, and using a potential threat handler locating an action mitigation plan (AMP) related to the predicted attack pattern in the data fabric associated with the OCS, the method further comprises copying the OCS predicted attack pattern to an FCS predicted attack pattern store, copying the OCS AMP to an FCS AMP store, and defending the FCS from the PTO using the AMP.

Abstract: A method comprising establishing a local communication network among and between a plurality of onboard vehicle computers respectively located in a plurality of vehicles, polling the vicinity of each vehicle to determine a set of qualified mobile device(s) that meet the following criteria: (i) the qualified mobile device is located within one of the vehicles of the plurality of vehicles, (ii) the qualified mobile device is configured and equipped to join the local network, and (iii) the qualified mobile device consents to join the local network, and adding the set of qualified mobile device(s) to the local network.

Abstract: At a mirrored operator, a current operand snapshot is received from a source operator. The current operand snapshot comprises configuration data of a set of source operands managed by the source operator, and the set of source operands comprises at least one source operand. A set of mirrored operands is configured by the mirrored operator according to the current operand snapshot, resulting in a first configuration of the set of mirrored operands. At the mirrored operator, a change request is received from the source operator. The change request comprises a request to modify a configuration of the set of source operands. The first configuration of the set of mirrored operands is modified by the mirrored operator according to the change request.

Abstract: A computer-implemented method according to one embodiment includes establishing a handshake between a security and compliance center (SCC) and a first operator of a first cluster via a manager component therebetween. An operand mapping of the SCC is updated, and the established handshake is used to cause the update to be communicated to the first operator of the first cluster. A computer program product according to another embodiment includes a computer readable storage medium having program instructions embodied therewith. The program instructions are readable and/or executable by a computer to cause the computer to perform the foregoing method. A system according to another embodiment includes a processor, and logic integrated with the processor, executable by the processor, or integrated with and executable by the processor. The logic is configured to perform the foregoing method.

Abstract: A set of one or more media items is identified by a first computer system configured to host media items for various users. The set of media items has a first relationship. A content analysis is performed on the set of one or more media items. The content analysis is based on a first machine-learning model. A first content pattern contained within the set of media items is determined based on the content analysis. A first set of one or more altered media items is generated in response to the first content pattern.

Abstract: A method can include obtaining personal data of a user and generating, based at least in part on the personal data of the user, a taste profile of the user. The taste profile can include a set of food characteristics that corresponds to one or more food preferences of the user. The method can include obtaining contextual data that corresponds to a location of the user. The method can include generating, based at least in part on the taste profile and the contextual data, a food recommendation. The food recommendation can include a predicted food preference of the user. The method can include transmitting the food recommendation to the user.

Abstract: A system for providing a travel recommendation to a user device includes a memory having instructions therein and at least one processor in communication with the memory. The at least one processor is configured to execute the instructions to receive communications of event data from the user device and generate an event schedule based at least in part on the event data. The at least one processor is also configured to execute the instructions to receive communications of travel context data and generate, using a cascaded machine learning model, a predicted optimal travel itinerary based at least in part on the event schedule and the travel context data. The at least one processor is also configured to execute the instructions to communicate the predicted optimal travel itinerary for reception by the user device.

Abstract: A set of one or more media items is identified by a first computer system configured to host media items for various users. The set of media items has a first relationship. A content analysis is performed on the set of one or more media items. The content analysis is based on a first machine-learning model. A first content pattern contained within the set of media items is determined based on the content analysis. A first set of one or more altered media items is generated in response to the first content pattern.

Abstract: A method for directional based commands includes responsive to initializing an augmented reality device associated with a user, establishing a field of view for the augmented reality device associated with the user. The method establishes boundaries for a directional command area, where the directional command area includes a plurality of devices configurable to receive commands from the augmented reality device associated with the user. The method receives a first command performable by at least two devices from the plurality of devices and receives orientation data from the augmented reality device associated with the user. The method determines a first device from the plurality of devices for performing the first command based at least on the orientation data and the field of view of view for the augmented reality device associated with the user and sends the first command to the first device.

Abstract: A method includes providing a smart contact lens including an array of beamforming microphones, wherein the smart contact lens is worn by a user and the array of beamforming microphones receive sound from different directions, determining a gaze direction of the user, filter the sound received by the array of beamforming microphones based on the gaze direction of the user to determine filtered sound, and output the filtered sound via a bone conduction hearing device.

Abstract: A method includes providing a smart contact lens including an array of beamforming microphones, wherein the smart contact lens is worn by a user and the array of beamforming microphones receive sound from different directions, determining a gaze direction of the user, filter the sound received by the array of beamforming microphones based on the gaze direction of the user to determine filtered sound, and output the filtered sound via a bone conduction hearing device.

Abstract: A system for providing a travel recommendation to a user device includes a memory having instructions therein and at least one processor in communication with the memory. The at least one processor is configured to execute the instructions to receive communications of event data from the user device and generate an event schedule based at least in part on the event data. The at least one processor is also configured to execute the instructions to receive communications of travel context data and generate, using a cascaded machine learning model, a predicted optimal travel itinerary based at least in part on the event schedule and the travel context data. The at least one processor is also configured to execute the instructions to communicate the predicted optimal travel itinerary for reception by the user device.

Abstract: A method can include obtaining personal data of a user and generating, based at least in part on the personal data of the user, a taste profile of the user. The taste profile can include a set of food characteristics that corresponds to one or more food preferences of the user. The method can include obtaining contextual data that corresponds to a location of the user. The method can include generating, based at least in part on the taste profile and the contextual data, a food recommendation. The food recommendation can include a predicted food preference of the user. The method can include transmitting the food recommendation to the user.