Systems and methods provide techniques for spatially dynamic document retrieval. In one embodiments, a method includes determining a current spatial-temporal state for a mobile device associated with a target user profile; accessing a document object repository comprising a plurality of document objects, wherein each document object of the plurality of document objects comprises one or more contextual labels and one or more spatial labels; for each document object of the plurality of document objects, determining a spatial-temporal relevance score for the document object with respect to the target user profile based on the one or more contextual labels for the document object, the one or more spatial labels for the document object, and the current spatial-temporal state of the target user profile; and generating a spatially dynamic document prediction interface based on the spatial-temporal relevance score for each document object of the plurality of document objects.

Systems and methods provide techniques for spatially dynamic document retrieval. In one embodiments, a method includes determining a current spatial-temporal state for a mobile device associated with a target user profile; accessing a document object repository comprising a plurality of document objects, wherein each document object of the plurality of document objects comprises one or more contextual labels and one or more spatial labels; for each document object of the plurality of document objects, determining a spatial-temporal relevance score for the document object with respect to the target user profile based on the one or more contextual labels for the document object, the one or more spatial labels for the document object, and the current spatial-temporal state of the target user profile; and generating a spatially dynamic document prediction interface based on the spatial-temporal relevance score for each document object of the plurality of document objects.

A solar wireless collector beacon (data hub) and associated method stores source data, received wirelessly from a data source, in a data buffer of the data hub. Sensor data is read from one or more onboard sensors of the data hub and stored as structural and/or environmental data in the data buffer. The environmental data is processed to determine an operating status of a vehicle being used with the data hub and an energy harvester of the vehicle is controlled to harvest energy from the vehicle based on the operating status. One or more of the operating status, the source data, and the environmental data is wirelessly transmitted from the data hub to an external device.

A solar wireless collector beacon (data hub) and associated method stores source data, received wirelessly from a data source, in a data buffer of the data hub. Sensor data is read from one or more onboard sensors of the data hub and stored as structural and/or environmental data in the data buffer. The environmental data is processed to determine an operating status of a vehicle being used with the data hub and an energy harvester of the vehicle is controlled to harvest energy from the vehicle based on the operating status. One or more of the operating status, the source data, and the environmental data is wirelessly transmitted from the data hub to an external device.

A computing system can be configured to input data that describes sensor data into an object detection model and receive, as an output of the object detection model, object detection data describing features of the plurality of the actors relative to the autonomous vehicle. The computing system can generate an input sequence that describes the object detection data. The computing system can analyze the input sequence using an interaction model to produce, as an output of the interaction model, an attention embedding with respect to the plurality of actors. The computing system can be configured to input the attention embedding into a recurrent model and determine respective trajectories for the plurality of actors based on motion forecast data received as an output of the recurrent model.

Various systems and methods of aggregating and analyzing geographically indexed data are disclosed. The system can include a server database hosting an application that a client computer may access via a web browser according to a SaaS architecture. The server database can store a variety of geographically indexed data, which may include economic data, demographic data, social data, and various other data types. The server database can be programmed to cause the client to display a map for receiving a selected geographic area defined on the map and then retrieve selected data corresponding to user-selected criteria for the selected geographic area. The server database can then transmit the selected data to the client for display on the map.

An example method of performing searches by comparing regions includes identifying a search point contained in geo-located data. The search point is nearest in distance to a query location. A search region associated with the search point is determined. The search region includes neighbor points contained in the geo-located data that are nearest the search point. Centroids corresponding respectively to the plurality of neighbor points of the search region are determined. The centroids of the search region are compared to other centroids corresponding to other regions of the geo-located data. The number of other centroids that match with the plurality of centroids are counted, and the counts are placed in descending order, to list the other regions having the highest similarity first. An ordered list of the other regions is generated based on their respective similarities to the query region.

The present invention provides a system and method for performing an online registration process to obtain registration information and venue information, accessing one or more sources of information about venues, and providing a user interface that includes venue information, a venue map, a location of a user, a location of user's friends on the venue map, and a calendar window for showing various events.

A speech processing system uses contextual data to determine the specific domains, subdomains, and applications appropriate for taking action in response to spoken commands and other utterances. Some applications may be given priority over others such that some applications are general request applications to which responsibility for processing an intent is to be assigned as long as contextual criteria are satisfied, while other applications are specific request applications to which responsibility for processing an intent is to be assigned only if the applications are specifically requested, if the contextual criteria of priority applications are not satisfied, and/or if certain contextual criteria associated with the specific request applications are satisfied.

Embeddings of spherical triangles onto a planar surface permit locations on a sphere to be represented as cells on the planar surface. Embeddings can define paths based on one or more sets of great circles on the sphere which can in turn be based on rotations of an icosahedron about various axes. Distances between locations as well as locations themselves can be determined as integer values unlike conventional latitude/longitude based systems that require floating point arithmetic. Some locations correspond to cells on different paths defined by one or more sets of great circles. Distance between two locations can be estimated as a minimum of distances associated with the cell locations on the different paths. Methods for processing data defined with respect to an origin point in three-dimensional space include establishing a set of concentric spherical shells with the origin point as their origin and establishing a discrete global grid on each of the concentric spherical shells. Target locations are assigned in the three-dimensional space using a corresponding index on a spherical shell.