Abstract: A method for monitoring user purchase making activity is described. The method includes logging a potential user purchase and purchase communications corresponding to a potential option available for purchase by a user. The method also includes predicting whether loss aversion is a factor in a purchase making process of the potential option available for purchase by the user. The method further includes determining a purchase recommendation in response to identifying that the loss aversion is the factor in the potential purchase making process of the potential option available for purchase by the user. The method also includes displaying the purchase recommendation based on a use frequency of the option purchased by the user.

Abstract: A system and method for quieting unwanted sound. As a non-limiting example, various aspects of this disclosure provide a system and method, for example implemented in a premises-based or home audio system, for quieting unwanted sound at a particular location.

Abstract: A system and method for providing zone-specific media to a user. As a non-limiting example, various aspects of this disclosure provide a system and method that flexibly selects and provides media content (e.g., audio content), where such content is selected based, at least in part, on a user location (e.g., location within a premises).

Abstract: Various techniques are described utilizing one or more unmanned aerial vehicles (UAVs, or “drones”) for various disaster and/or catastrophe-related purposes. UAVs may collect data in an attempt to predict the occurrence and/or extent of a catastrophe and/or to mitigate the impact of a catastrophe before and, if not at that time, once it has occurred. The UAVs may perform various tasks such that the damage to property caused by a catastrophe (or potential catastrophe) may be eliminated or mitigated. A UAV may receive a flight path based on an energy consumption related condition and operate based on the flight path. Operating based on the flight path includes docking the UAV with a power supply device for charging a power source of the UAV.

Abstract: A method for a credible information guide is described. The method includes identifying a source of content accessed by a user as a non-credible information source if a credibility score is less than a credibility threshold. The method also includes determining a similarity of a message between content of the non-credible information source and a credible content from one or more credible information sources. The method further includes recommending a selected information source to the user, having a credibility score between the non-credible information source and the one or more credible information sources when a lack of message similarity is determined. The method also includes continuing the recommending of selected information sources having gradually increasing credibility scores until a credible source accessed by the user.

Abstract: The invention describes ultrasound-responsive particles comprising a polypeptide shell. The surface of the particle has one or more indentations which are generally able to entrap a gas bubble. The particles are capable of generating inertial cavitation on exposure to ultrasound. The particles are therefore useful in methods of treatment which involve inertial cavitation and in the delivery of drugs to target sites via inertial cavitation.

Abstract: The invention describes ultrasound-responsive particles having a core containing one or more therapeutic or diagnostic agents, and a polypeptide shell. The surface of the particle has one or more indentations which are generally able to entrap a gas bubble. The particles are capable of generating inertial cavitation on exposure to ultrasound. The inertial cavitation properties of the particles can be used to enhance delivery of the therapeutic or diagnostic agents to target sites in vivo.

Abstract: Unmanned aerial vehicles (UAVs) may facilitate the generation of a virtual reconstruction model of a vehicle collision. UAVs may collect data (including images) related to the vehicle collision, such as with the insured's permission, which may be received by an external computing device associated with the insurer and utilized to perform a photogrammetric analysis of the images to determine vehicle impact points, the road layout at the scene of the collision, the state of the traffic light at the scene of the collision, the speeds and directions of vehicles, etc. This data may be used to generate a virtual reconstruction model of the vehicle collision. An insurer may use the virtual reconstruction model to perform various insurance-related tasks, such as allocating fault to drivers or autonomous vehicles involved in the vehicle collision, and adjustment of insurance pricing based upon the fault allocation.

Abstract: Various techniques are described utilizing one or more unmanned aerial vehicles (UAVs, or “drones”) for various disaster and/or catastrophe-related purposes. UAVs may collect data in an attempt to predict the occurrence and/or extent of a catastrophe and/or to mitigate the impact of a catastrophe before and, if not at that time, once it has occurred. The UAVs may perform various tasks such that the damage to property caused by a catastrophe (or potential catastrophe) may be eliminated or mitigated. A UAV may receive a flight path based on an energy consumption related condition and operate based on the flight path. Operating based on the flight path includes docking the UAV with a power supply device for charging a power source of the UAV.

Abstract: Examples are disclosed that relate to computing devices, head-mounted display devices and methods for remote collaborations. In one example a computing device receives receive a spatial mapping of a first three-dimensional environment and determines that a volumetric space in the spatial mapping satisfies at least one collaboration criterion. The collaboration criterion comprises a first object in the first three-dimensional environment and a second object in a second three-dimensional environment sharing a common semantic label. Based on determining that the volumetric space satisfies the collaboration criterion, a shared hologram is displayed by a first display device at the first object in the first environment and by a second display device at the second object in the second three-dimensional environment.

Abstract: A financial institution computing system includes an account database with a plurality of transaction parameters with respect to a financial account of a customer, a receptiveness metrics circuit structured to extract the plurality of transaction parameters from the account database, the transaction parameters including at least one financial transaction record, and indicative of a mode of the customer, and determine one or more receptiveness metrics attributed to the customer based on the mode of the customer, the one or more receptiveness metrics indicating likelihoods of the customer converting an interaction from the financial institution, wherein the interaction includes an avatar that is an aged version of the customer, and an interaction generation circuit structured to transmit the interaction to the customer at an optimal time based on the one or more receptiveness metrics.

Abstract: An electronic gaming system includes a processor configured to execute instructions, which when executed, cause the processor to at least receive a wager amount from an electronic gaming machine (EGM), where the wager amount is associated with a player wager in a base bingo game played by a player of the EGM. The instructions also cause the processor to receive a bingo card parameter from the EGM, where the received bingo card parameter is associated with a bingo card provided to the player in the base bingo game, determine, based upon the wager amount, an award eligibility probability, and determine, based at least in part upon the award eligibility probability, whether the player is eligible to receive an award, and in response, compare the received bingo card parameter to a plurality of bingo card parameters, the plurality of bingo card parameters defining a paytable. Moreover, the instructions may cause the processor to determine, based upon the comparison, whether to provide the award to the player.

Abstract: A method for inferring intent and discrepancies in a label coding scheme is described. The method includes compiling data indicating how one or more individuals labeled unstructured content according to the label coding scheme comprising a plurality of labels. The method also includes analyzing a context associated with a content labeled in a particular manner by the one or more individuals. The method further includes detecting discrepancies of meaning for a particular label used by the one or more individuals. The method also includes inferring a strategic thinking of the one or more individuals associated with the discrepancies of meaning detected for the particular label. The method further includes displaying recorded metadata associated with the strategic thinking and the discrepancies of meaning detected for the particular label between the one or more individuals regarding a coded dataset.

Abstract: A method for inferring intent and discrepancies in a label coding scheme is described. The method includes compiling data indicating how one or more individuals labeled unstructured content according to the label coding scheme comprising a plurality of labels. The method also includes analyzing a context associated with a content labeled in a particular manner by the one or more individuals. The method further includes detecting discrepancies of meaning for a particular label used by the one or more individuals. The method also includes inferring a strategic thinking of the one or more individuals associated with the discrepancies of meaning detected for the particular label. The method further includes displaying recorded metadata associated with the strategic thinking and the discrepancies of meaning detected for the particular label between the one or more individuals regarding a coded dataset.

Abstract: A method for capturing and deorbiting space debris includes: deploying a space debris capturing device in planetary orbit; receiving an initial target set including a first database of space debris targets that are within range of the space debris capturing device; performing a first algorithm to convert the initial target set to an accessible target set including a second database of space debris targets that are within range of the space debris capturing device; performing a second algorithm to convert the accessible target set to a final target set including a third database of space debris targets to be captured by the space debris capturing device capturing the first space debris target via a capture mechanism of the space debris capturing device; jettisoning the capture mechanism and the first captured space debris target into a decaying orbit; one of the remaining space debris targets of the third database; and positioning the space debris capturing device and the final captured space debris target int

Abstract: A financial institution computing system includes an account database with a plurality of transaction parameters with respect to a financial account of a customer, a receptiveness metrics circuit structured to extract the plurality of transaction parameters from the account database, the transaction parameters including at least one financial transaction record, and indicative of a mode of the customer, and determine one or more receptiveness metrics attributed to the customer based on the mode of the customer, the one or more receptiveness metrics indicating likelihoods of the customer converting an interaction from the financial institution, wherein the interaction includes an avatar that is an aged version of the customer, and an interaction generation circuit structured to transmit the interaction to the customer at an optimal time based on the one or more receptiveness metrics.

Abstract: A method for inferring intent and discrepancies in a label coding scheme is described. The method includes compiling data indicating how one or more individuals labeled unstructured content according to the label coding scheme comprising a plurality of labels. The method also includes analyzing a context associated with a content labeled in a particular manner by the one or more individuals. The method further includes detecting discrepancies of meaning for a particular label used by the one or more individuals. The method also includes inferring a strategic thinking of the one or more individuals associated with the discrepancies of meaning detected for the particular label. The method further includes displaying recorded metadata associated with the strategic thinking and the discrepancies of meaning detected for the particular label between the one or more individuals regarding a coded dataset.

Abstract: Examples are disclosed that relate to computing devices, head-mounted display devices and methods for remote collaborations. In one example a computing device receives a first spatial mapping of a first environment and a second spatial mapping of a second environment. The computing device determines that a first volumetric space in the first environment and a second volumetric space in the second environment each satisfy at least one collaboration criterion. Based on this determination, an indication of the first volumetric space is displayed by a first display device in the first environment, and an indication of the second volumetric space is displayed by a second display device in the second environment.

Abstract: A method for labeling a data set by a coding model includes generating multiple sets of related initial labels based on processing a data set with a group of initial labels. The method also includes determining a quantity of occurrences, within the data set, of each one of the group of initial labels and each related initial label of the multiple sets of related initial labels. The method further includes determining, for each initial label of the group of initial labels, a breadth score based on the number of occurrences of each related initial label. The method still further includes updating one or more of the group of initial labels based on respective breadth scores satisfying a label updating condition. The method also includes labeling the data set based on the group of initial labels and the multiple sets of related initial labels.

Abstract: Systems and methods for generating predicted preferences are disclosed. The method includes implementing, with a computing device having a processor and a non-transitory computer-readable memory, a conjoint architecture comprising: an autoencoder trained to transform input data including one or more choices and one or more features into a latent representation, and a choice classification network trained to predict one or more predicted preferences from the latent representation extracted by the autoencoder. The method further includes outputting, from the choice classification network, the one or more predicted preferences.