Abstract: Disclosed are techniques for extracting, identifying, and consuming imprecise temporal elements (“ITEs”). A user input may be received from a client device. A prediction may be generated of one or more time intervals to which the user input refers based upon an ITE model. The user input may be associated with the prediction, and provided to the client device.

Abstract: A server may be configured to receive first pose data from a virtual reality device, generate second pose data, including a pose prediction, based at least on the first pose data, render a map representation based at least on the pose prediction, determine regions of the map representation based on a likelihood of view of each of the regions, perform foveation in each of the regions and generate an encoded frame based on the regions and a network parameter, and send the encoded frame and second pose data to the device. The encoding may associate each of the regions with a quality level and base the foveation on each region's associated quality level. The foveation may use different quantization parameters for each of the regions and/or use rendering foveation for each of regions. Network conditions such as latency, bandwidth, and/or jitter may be considered for bit allocation in the foveation.

Abstract: Disclosed are techniques for extracting, identifying, and consuming imprecise temporal elements (“ITEs”). A user input may be received from a client device. A prediction may be generated of one or more time intervals to which the user input refers based upon an ITE model. The user input may be associated with the prediction, and provided to the client device.

Abstract: Disclosed are techniques for extracting, identifying, and consuming imprecise temporal elements (“ITEs”). A user input may be received from a client device. A prediction may be generated of one or more time intervals to which the user input refers based upon an ITE model. The user input may be associated with the prediction, and provided to the client device.

Abstract: A computing system for calculating a total calorie count is provided. The computing system comprising an electronic personal assistant application program executed on a client computing device, and including a purchase tracking module configured to receive notifications of purchases made for individual food items, a calorie tracking module configured to identify calorie counts associated with each purchased food item and to calculate a calorie count statistic based thereon, a calorie apportionment module configured to apportion the calorie counts of the food items to a user so that the calorie count statistic is based upon an apportioned total of the calorie counts of the food items that have been apportioned to the user; and a graphical user interface module configured to display a graphical user interface including an indicator of the calorie count statistic on a display associated with the client computing device.

Abstract: A client computing device is disclosed that comprises a processor and an electronic personal assistant application program. The personal assistant application program may be configured to capture user data associated with user activities across a plurality of computer programs. The user data may be sent to a personal assistant user data interpretation engine. A health-related suggestion based on at least a subset of the user data and anonymized statistics of a user population retrieved from an aggregated knowledge base may be received. The health-related suggestion may be displayed on a display associated with the client computing device.

Abstract: A server may be configured to receive first pose data from a virtual reality device, generate second pose data, including a pose prediction, based at least on the first pose data, render a map representation based at least on the pose prediction, determine regions of the map representation based on a likelihood of view of each of the regions, perform foveation in each of the regions and generate an encoded frame based on the regions and a network parameter, and send the encoded frame and second pose data to the device. The encoding may associate each of the regions with a quality level and base the foveation on each region's associated quality level. The foveation may use different quantization parameters for each of the regions and/or use rendering foveation for each of regions. Network conditions such as latency, bandwidth, and/or jitter may be considered for bit allocation in the foveation.

Abstract: A computing system comprises an electronic personal assistant application program executed on a client computing device. Included are a health insurance retriever configured to retrieve health insurance information of a user, a history combiner configured to combined aggregated histories of a plurality of users into an anonymized combined time and location-based data, and a health recommender configured to identify at least one health condition of the user, determine a health recommendation at least on the identified health condition, and output the health recommendation including the recommended health care service, providers, and an indication of insurance coverage of the recommended service at each of the providers.

Abstract: A server may be configured to receive first pose data from a virtual reality device, generate second pose data, including a pose prediction, based at least on the first pose data, render a map representation based at least on the pose prediction, determine regions of the map representation based on a likelihood of view of each of the regions, perform foveation in each of the regions and generate an encoded frame based on the regions and a network parameter, and send the encoded frame and second pose data to the device. The encoding may associate each of the regions with a quality level and base the foveation on each region's associated quality level. The foveation may use different quantization parameters for each of the regions and/or use rendering foveation for each of regions. Network conditions such as latency, bandwidth, and/or jitter may be considered for bit allocation in the foveation.

Abstract: A content provider may provide public access to a content item set, but may be unable to achieve sufficient revenue to sustain the administrative costs and ongoing development of the content item set. Instead, the content provider may develop relationships with one or more referrers (e.g., search engines.) When a user requests a content item, the content provider may determine whether the request results from a referral by a sponsoring referrer, and based on this determination may provide either a full version or a limited version of the content item. The referrer benefits by providing its users with free access to the content item set, which may be unavailable from non-sponsoring competitors, and in exchange may share advertising revenue with the content provider. This arrangement achieves sustaining sponsorship of the content provider while extending full and free access to the content item set to users of sponsoring referrers.

Abstract: Methods and systems for determining a physiological parameter of a subject through interrogation of an eye of the subject with an optical signal are described. Interrogation is performed unobtrusively. The physiological parameter is determined from a signal sensed from the eye of a subject according to a schedule, under the control of a scheduling controller.

Abstract: A computing system is provided. The computing system includes an electronic personal assistant application server configured to determine a target location for a selected user and time, determine a group of other registered users who are or will be physically present at the target location at or around the predetermined time, determine group health data representing a health condition of the group of other registered users, the group health data being determined based on anonymous medical records statistics for the group of other registered users, the anonymous medical records statistics including biometric data sensed by at least one biometric sensor associated with at least one user computing device of one of the other registered users, identify a health risk level for the target location using the group health data, and generate an activity warning for the target location based on the health risk level.

Abstract: Methods and systems for determining a physiological parameter of a subject through interrogation of an eye of the subject with an optical signal are described. Interrogation is performed unobtrusively. The physiological parameter is determined from a signal sensed from the eye of a subject according to a schedule, under the control of a scheduling controller.

Abstract: Methods and systems for determining a physiological parameter of a subject through interrogation of an eye of the subject with an optical signal are described. Interrogation is performed unobtrusively. The physiological parameter is determined from a signal sensed from the eye of a subject when the eye of the subject is properly aligned with regard to an interrogation signal source and/or response signal sensor.

Abstract: A server may be configured to receive first pose data from a virtual reality device, generate second pose data, including a pose prediction, based at least on the first pose data, render a map representation based at least on the pose prediction, determine regions of the map representation based on a likelihood of view of each of the regions, perform foveation in each of the regions and generate an encoded frame based on the regions and a network parameter, and send the encoded frame and second pose data to the device. The encoding may associate each of the regions with a quality level and base the foveation on each region's associated quality level. The foveation may use different quantization parameters for each of the regions and/or use rendering foveation for each of regions. Network conditions such as latency, bandwidth, and/or jitter may be considered for bit allocation in the foveation.

Abstract: Methods for predicting future spectrum utilization are disclosed. Monitoring of spectrum signatures in a first system during a first time period may indicate that a particular frequency spectrum is being used by at least one device or second system for at least one type of application based on monitored spectrum usage. Knowledge of the monitored spectrum usage may be used to determine a prediction of how the frequency spectrum will be used in a second time period by the at least one device or second system, and the prediction may be utilized for selecting portions of the frequency spectrum for use in the first system during the second time period. The knowledge of the monitored spectrum usage may be combined with information in a database when determining the prediction of use.

Abstract: Disclosed are techniques for extracting, identifying, and consuming imprecise temporal elements (“ITEs”). A user input may be received from a client device. A prediction may be generated of one or more time intervals to which the user input refers based upon an ITE model. The user input may be associated with the prediction, and provided to the client device.

Abstract: The claimed subject matter includes a system and method for attribution of search activity in multi-user settings. The method includes training a classifier to distinguish between machines that are single-user and multi-user based on activity logs of an identified machine. The identified machine is determined to be multi-user based on the classifier. A number of users is estimated for the identified machine. Activity of the users is clustered based on the number of users estimated. A similarity function is learned for the number of users estimated. The method also includes assigning new activity to one of the users based on the clustering, and the similarity function.

Abstract: A shared electrode battery includes multiple electrodes of one type (e.g., two or more cathodes) that share an electrode of another type (e.g., a shared anode). The multiple electrodes of the same type (e.g., the multiple cathodes) can have different characteristics, such as different chemistries, particle sizes and distributions, capacities, and so forth that are designed to provide particular features such as high energy density, high power density, high cycle life, fast charge, safety, and so forth. Multiple cathode-anode pairings of one of the multiple electrodes of the same type with the shared electrode are possible. Switching hardware is operable to select one of the multiple pairings at any given time, allowing the battery to provide power using the cathode having the desired characteristics at that given time. A single battery is thus able to provide these multiple different features.

Abstract: Various techniques for providing network connectivity are described herein. In one example, a moving object includes an uplink device of the moving object to connect the moving object to a publicly available computer network. The moving object also includes a downlink device of the moving object to be communicatively coupled to a remote device at a specific segment along a route of the moving object. The remote device is to provide data received via the downlink device to a user. The moving object also further includes a cache store communicatively coupled to the uplink device and the downlink device. Implementations include the use of commercial airplanes for providing connectivity via intermittent access and refreshing of a cache store that makes content available to end users.