Abstract: A queue management system including a user data retrieving circuit configured to retrieve a user property of the user and a queue managing circuit configured to model the plurality of users as a non-Newtonian fluid, to analyze the user properties to assign each user an anisometric polarity parameter, and to solve an objective function for a queue property to cause the plurality of users to collectively act as the non-Newtonian fluid in the queue.

Abstract: Techniques for facilitating the autonomous presentation of a self-driving vehicle are provided. In one example, a method can include a system operatively coupled to a processor, where the system: determines a feature of a self-driving vehicle based on information regarding an entity in a pending transaction; determines a task to be performed by the self-driving vehicle based on the feature; and generates an instruction for the self-driving vehicle to perform the task.

Abstract: Described are techniques for differentiating humans from bots. The techniques including a computer-implemented method comprising presenting a motion-based challenge-response instruction to a user via a user interface of a first device of a plurality of devices associated with the user and communicatively coupled to one another by a network, where the motion-based challenge-response instruction describes at least one motion that is performable by the user and detectable by at least one of the plurality of devices, and where the motion-based challenge-response instruction is configured to differentiate humans from bots. The method further comprises determining that device data from one or more of the plurality of devices matches the at least one motion. The method further comprises authenticating the first device in response to determining that the device data matches the at least one motion, where authenticating the first device indicates that the user is a human.

Abstract: A queue management system including a user data retrieving circuit configured to retrieve a user property of the user and a queue managing circuit configured to model the plurality of users as a non-Newtonian fluid, to analyze the user properties to assign each user an anisometric polarity parameter, and to solve an objective function for a queue property to cause the plurality of users to collectively act as the non-Newtonian fluid in the queue.

Abstract: A queue management method, system, and non-transitory computer readable medium, include managing a queue by modeling a plurality of users in the queue as a non-Newtonian fluid and by modeling the plurality of users as a suspension of particles in the non-Newtonian fluid based on an analysis of cognitive data of each of the plurality of users, a wearable's signals for each user of the plurality of users, and a most likely direction of a movement of each user of the plurality of users to estimate a viscosity of the plurality of users in the non-Newtonian fluid.

Abstract: Described are techniques for differentiating humans from bots. The techniques including a computer-implemented method comprising presenting a motion-based challenge-response instruction to a user via a user interface of a first device of a plurality of devices associated with the user and communicatively coupled to one another by a network, where the motion-based challenge-response instruction describes at least one motion that is performable by the user and detectable by at least one of the plurality of devices, and where the motion-based challenge-response instruction is configured to differentiate humans from bots. The method further comprises determining that device data from one or more of the plurality of devices matches the at least one motion. The method further comprises authenticating the first device in response to determining that the device data matches the at least one motion, where authenticating the first device indicates that the user is a human.

Abstract: A computer-implemented method of generating a graphical user interface based on image analysis is disclosed, the method including cognitively analyzing, by a data processing system, an image, which may be associated with a user, to identify item(s) in the image, obtaining, by the data processing system, available image filter(s) based on the identified item(s), presenting, by the data processing system, the available image filter(s) to the user, receiving, by the data processing system, a selection of an image filter from the one or more of the at image filter(s) from the user, and applying, by the data processing system, an image overlay to the image, the image overlay including the selection of an image filter as a selectable option. The available image filter(s) can be obtained by searching for them based on a relationship, by searching based on image filters associated with the identified item(s) or by using a cognitive suggestion service.

Abstract: A method includes: retrieving an initial flight path for a first unmanned aerial vehicle (UAV), the initial flight path being from a geographical point A to a geographical point B; generating a projected initial energy consumption of the first UAV for completion of a flight along the initial flight path; retrieving a flight path of a second UAV; generating a projected revised energy consumption of the first UAV for completion of a flight along an altered flight path, the altered flight path being a flight path from point A to point B where the first UAV aerodynamically drafts the second UAV for at least a portion of the altered flight path; comparing the projected revised energy consumption to the projected initial energy consumption to determine which of the projected revised energy consumption and the projected initial energy consumption is lower.

Abstract: A computer-implemented method includes receiving, by a computer device, an electronic notice of a current transaction being attempted by a first user at an electronic transaction device, the current transaction requiring access to a joint account, the first user and a second user having authority to access an asset in the joint account; comparing in real time, by the computer device, the current transaction to historical classification data; classifying in real time, by the computer device, the current transaction based on the comparing; and transmitting in real time, by the computer device, to the electronic transaction device an electronic communication indicating the current transaction is approved based on determining one of: the current transaction is classified as pre-approved; and the current transaction is classified as non-pre-approved and the current transaction does not exceed a predetermined threshold.

Abstract: Systems and methods for redirecting notifications, including determining that a first mobile device is in motion at a speed that exceeds a threshold value; determining that the while the first mobile device is in motion at a speed that exceeds the threshold value, the first mobile device is within a threshold distance of the second mobile device; determining, from an input received by the first mobile device that the first mobile device is in a position of a driver of an automobile; determining that a second mobile device is in a position of a passenger of the automobile; and automatically transmitting the notification from the first mobile device to the second mobile device, without providing an indication to a user of the first mobile device that the notification was received by the first mobile device.

Abstract: A computer-implemented method includes: retrieving, by a computer device, an initial flight path for a first unmanned aerial vehicle (UAV), the initial flight path being from a geographical point A to a geographical point B; generating, by the computer device, a projected initial energy consumption of the first UAV for completion of a flight along the initial flight path; retrieving, by the computer device, a flight path of a second UAV; generating, by the computer device, a projected revised energy consumption of the first UAV for completion of a flight along an altered flight path, the altered flight path being a flight path from point A to point B where the first UAV aerodynamically drafts the second UAV for at least a portion of the altered flight path; comparing, by the computer device, the projected revised energy consumption to the projected initial energy consumption to determine which of the projected revised energy consumption and the projected initial energy consumption is lower; establishing, by t

Abstract: Techniques for facilitating the autonomous presentation of a self-driving vehicle are provided. In one example, a method can include a system operatively coupled to a processor, where the system: determines a feature of a self-driving vehicle based on information regarding an entity in a pending transaction; determines a task to be performed by the self-driving vehicle based on the feature; and generates an instruction for the self-driving vehicle to perform the task.

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

Abstract: A computer-implemented method of generating a graphical user interface based on image analysis is disclosed, the method including cognitively analyzing, by a data processing system, an image, which may be associated with a user, to identify item(s) in the image, obtaining, by the data processing system, available image filter(s) based on the identified item(s), presenting, by the data processing system, the available image filter(s) to the user, receiving, by the data processing system, a selection of an image filter from the one or more of the at image filter(s) from the user, and applying, by the data processing system, an image overlay to the image, the image overlay including the selection of an image filter as a selectable option. The available image filter(s) can be obtained by searching for them based on a relationship, by searching based on image filters associated with the identified item(s) or by using a cognitive suggestion service.

Abstract: Techniques for facilitating the autonomous presentation of a self-driving vehicle are provided. In one example, a method can include a system operatively coupled to a processor, where the system: determines a feature of a self-driving vehicle based on information regarding an entity in a pending transaction; determines a task to be performed by the self-driving vehicle based on the feature; and generates an instruction for the self-driving vehicle to perform the task.

Abstract: A queue management method, system, and non-transitory computer readable medium, include managing a queue by modeling a plurality of users in the queue as a non-Newtonian fluid and by modeling the plurality of users as a suspension of particles in the non-Newtonian fluid based on an analysis of cognitive data of each of the plurality of users, a wearable's signals for each user of the plurality of users, and a most likely direction of a movement of each user of the plurality of users to estimate a viscosity of the plurality of users in the non-Newtonian fluid.

Abstract: A queue management method, system, and non-transitory computer readable medium, include a queue management system including a device recognition circuit configured to recognize when a user device enters a queuing zone, and place a user having the user device into a queue with a plurality of users, a user data retrieving circuit configured to retrieve at least one of cognitive data and contextual data of the user, and a queue managing circuit configured to analyze the contextual data and the cognitive data to create a queue property for each user of the plurality of users in the queue based on the analyzed contextual data and the analyzed cognitive data.

Abstract: Techniques for facilitating the autonomous presentation of a self-driving vehicle are provided. In one example, a method can include a system operatively coupled to a processor, where the system: determines a feature of a self-driving vehicle based on information regarding an entity in a pending transaction; determines a task to be performed by the self-driving vehicle based on the feature; and generates an instruction for the self-driving vehicle to perform the task.

Abstract: Systems and methods for redirecting notifications, including determining that a first mobile device is in motion at a speed that exceeds a threshold value; determining that the while the first mobile device is in motion at a speed that exceeds the threshold value, the first mobile device is within a threshold distance of the second mobile device; determining, from an input received by the first mobile device that the first mobile device is in a position of a driver of an automobile; determining that a second mobile device is in a position of a passenger of the automobile; and automatically transmitting the notification from the first mobile device to the second mobile device, without providing an indication to a user of the first mobile device that the notification was received by the first mobile device.

Abstract: Techniques for facilitating the autonomous presentation of a self-driving vehicle are provided. In one example, a method can include a system operatively coupled to a processor, where the system: determines a feature of a self-driving vehicle based on information regarding an entity in a pending transaction; determines a task to be performed by the self-driving vehicle based on the feature; and generates an instruction for the self-driving vehicle to perform the task.