Abstract: The description relates to an interactive physical product browsing experience. One example includes a display system for displaying objects. The display system comprises a plurality of object displays each comprising an object store, a robot for moving objects to and from a repository, a user input receiving means, and a processing means. The processing means is configured to cause the object displays to display some of the objects, monitor user behaviour using the user input receiving means, and cause the robot to move an object from the repository to one of the object stores based on the user behaviour.

Abstract: Techniques for rendering shared data include receiving, from a data store by a computing device, data indicative of a persistent data object. The persistent data object is associated with a class indicative of a data type for information contained in the persistent data object. The persistent data object is operable to be inserted in a file generated by an application executing on the computing device. The visualization logic associated with the class may be received by the computing device. The information in the persistent data object is rendered using the selected method of visualization, and other information in the document is rendered using native rendering capabilities of the application.

Abstract: Methods and systems which perform information retrieval using natural language dialogue for navigating an inventory of items are described. One example provides an information retrieval system to a user using natural language dialogue. The system comprises a user input receiving device, an output device, a database comprising an inventory of items, and a processor. The processor is configured to retrieve one or more items from the inventory of items using an iterative process by: in response to receiving from the user input receiving device a user input, identifying a subset of the inventory based on the user input. The processor is configured to automatically process the subset of items to determine a classification for distinguishing between items of the subset, to generate an enquiry for a user using the classification and to transmit the enquiry to the output device. The user input and/or the enquiry may use natural language.

Abstract: Techniques for managing data include receiving, at a data store, a persistent data object generated by a source application, the object configured to be compatible with a plurality of applications and document types. The object is associated with a unique identifier. In response to a request for the object, the object is accessed based on its unique identifier and sent to a computing device executing a destination application. The object is incorporated by and is compatible with a destination document being edited by the destination application. An update to the object is received that is generated by a user application editing a user document. In response to receiving an indication that the object has been inserted in the destination document, the update is sent by the data store to the destination computing device and is usable to update the object as incorporated in the destination document.

Abstract: An unmanned aerial vehicle (UAV) rendezvous with and transfers a product to a receiving vehicle that is en route to a destination-location. The UAV is dispatched with the product along a flight path that intercepts with a predetermined route that the receiving vehicle is expected to travel along toward the destination-location. Once the UAV is within the vicinity of the receiving vehicle, the UAV approaches the receiving vehicle and utilizes cargo release equipment to transfer the product to the receiving vehicle. In one example, the UAV flies above the receiving vehicle at a synchronized velocity and drops the product through an opening in the roof of the receiving vehicle. In another example, the UAV flies above the receiving vehicle and suspends the product adjacent to a side-window opening of the receiving vehicle to enable an occupant of the receiving vehicle to reach out and retrieve the product.

Abstract: A system includes an electronic processor configured to store records in a client database. The records included personally identifiable information associated with entities and a client identifier reference associated with each of the individuals, the personally identifiable information is accessible based on an authorization level associated with a user.

Abstract: The description relates to determining tiles of interest to a user. One example includes a computing device comprising a display, a user input receiving means, and a processing means. The processing means is configured to render on the display a first plurality of tiles each having a respective value of a first classification. The processing means is configured to receive from the user input receiving means a first user input indicating user interest in a first tile of the first plurality of tiles, the first tile having a first value of the first classification. The processing means is configured, in response to receiving the first user input, to render on the display a second plurality of tiles each having a respective value of a second classification and being related to the first tile by having a value of the first classification within a threshold similarity of the first value.

Abstract: A system for protecting personally identifiable information (PII) associated with audio, image and video. The system includes an output device and a processor. The processor receives a document including an audio, an image, or a video containing both non-personally identifiable information and personally identifiable information, scans the document for a voice, a face, a graphically rendered text, or a personal attribute, match the voice, face, graphically rendered text, or personal attribute with records in a database to determine whether the voice, face, graphically rendered text, or personal attribute in the document is associated with personally identifiable information.

Abstract: An increasing number of bots become available each day that perform automated tasks over the Internet to help facilitate a variety of service requests for a user. Thus, embodiments are directed to an orchestration service configured to perform bot network orchestration in order to provide enriched responses to service requests and/or in order to find one accurate answer among large numbers of bot responses to a specific query. For example, a service request for a user that involves at least one service provider may be received. A plurality of bots to orchestrate a processing of the service request may be determined. Instructions may be provided to the bots associated with aspects of the service request, where each bot is selected based on an aspect of the service request. Responses received from the bots may be integrated into a service response and provided to a requestor of the service request.

Abstract: Techniques for managing data include receiving, at a data store, a persistent data object generated by a source application, the object configured to be compatible with a plurality of applications and document types. The object is associated with a unique identifier. In response to a request for the object, the object is accessed based on its unique identifier and sent to a computing device executing a destination application. The object is incorporated by and is compatible with a destination document being edited by the destination application. An update to the object is received that is generated by a user application editing a user document. In response to receiving an indication that the object has been inserted in the destination document, the update is sent by the data store to the destination computing device and is usable to update the object as incorporated in the destination document.

Abstract: Techniques for rendering shared data include receiving, from a data store by a computing device, data indicative of a persistent data object. The persistent data object is associated with a class indicative of a data type for information contained in the persistent data object. The persistent data object is operable to be inserted in a file generated by an application executing on the computing device. The visualization logic associated with the class may be received by the computing device. The information in the persistent data object is rendered using the selected method of visualization, and other information in the document is rendered using native rendering capabilities of the application.

Abstract: Methods and systems which perform information retrieval using natural language dialogue for navigating an inventory of items are described. One example provides an information retrieval system to a user using natural language dialogue. The system comprises a user input receiving device, an output device, a database comprising an inventory of items, and a processor. The processor is configured to retrieve one or more items from the inventory of items using an iterative process by: in response to receiving from the user input receiving device a user input, identifying a subset of the inventory based on the user input. The processor is configured to automatically process the subset of items to determine a classification for distinguishing between items of the subset, to generate an enquiry for a user using the classification and to transmit the enquiry to the output device. The user input and/or the enquiry may use natural language.

Abstract: Technologies are provided for automated crime scene analysis using machine learning. Firearm models, types, or even specific firearms may be automatically detected from captured audio files or continuous audio streams (e.g., recording microphones) using machine learning techniques. The detection may also be based on (or enhanced by) captured still images or video files/streams. Further information such as crime scene layout, wound types and locations, and similar information may be provided to the analysis service through manual input or automated capture (e.g., through analysis of image/video data). A number of firearms used in the commission of the crime may also be detected. Specific firearm types may be associated with specific crime types. Similar techniques may also be used to detect and classify types and quantity of explosive material.

Abstract: A system for protecting personally identifiable information (PII) associated with audio, image and video. The system includes an output device and a processor. The processor receives a document including an audio, an image, or a video containing both non-personally identifiable information and personally identifiable information, scans the document for a voice, a face, a graphically rendered text, or a personal attribute, match the voice, face, graphically rendered text, or personal attribute with records in a database to determine whether the voice, face, graphically rendered text, or personal attribute in the document is associated with personally identifiable information.

Abstract: A system includes an electronic processor configured to store records in a client database. The records included personally identifiable information associated with entities and a client identifier reference associated with each of the individuals, the personally identifiable information is accessible based on an authorization level associated with a user.

Abstract: Methods and systems which perform information retrieval using natural language dialog for navigating an inventory of items are described. One example provides an information retrieval system to a user using natural language dialog. The system comprises a user input receiving device, an output device, a database comprising an inventory of items, and a processor. The processor is configured to retrieve one or more items from the inventory of items using an iterative process by: in response to receiving from the user input receiving device a user input, identifying a subset of the inventory based on the user input. The processor is configured to automatically process the subset of items to determine a classification for distinguishing between items of the subset, to generate an enquiry for a user using the classification and to transmit the enquiry to the output device. The user input and/or the enquiry may use natural language.

Abstract: Technologies are provided for automated crime scene analysis using machine learning. Firearm models, types, or even specific firearms may be automatically detected from captured audio files or continuous audio streams (e.g., recording microphones) using machine learning techniques. The detection may also be based on (or enhanced by) captured still images or video files/streams. Further information such as crime scene layout, wound types and locations, and similar information may be provided to the analysis service through manual input or automated capture (e.g., through analysis of image/video data). A number of firearms used in the commission of the crime may also be detected. Specific firearm types may be associated with specific crime types. Similar techniques may also be used to detect and classify types and quantity of explosive material.

Abstract: A delivery vehicle transfers a product to a receiving vehicle that is operating on a roadway system and is en route to a destination-location. The delivery vehicle is dispatched with the product along a specific route that partially overlaps with another route that the receiving vehicle is traveling on towards the destination-location. The delivery vehicle and the receiving vehicle rendezvous with one another on a portion of the roadway system that is common to both vehicles' respective routes. Once the delivery vehicle is within the vicinity of the receiving vehicle, the delivery vehicle approaches the receiving vehicle and opens a compartment containing the product to enable an occupant of the receiving vehicle to obtain the product. In one example, the compartment is affixed to a robotic-arm that the delivery vehicle extends towards a window of the receiving vehicle.

Abstract: An unmanned aerial vehicle (UAV) rendezvous with and transfers a product to a receiving vehicle that is en route to a destination-location. The UAV is dispatched with the product along a flight path that intercepts with a predetermined route that the receiving vehicle is expected to travel along toward the destination-location. Once the UAV is within the vicinity of the receiving vehicle, the UAV approaches the receiving vehicle and utilizes cargo release equipment to transfer the product to the receiving vehicle. In one example, the UAV flies above the receiving vehicle at a synchronized velocity and drops the product through an opening in the roof of the receiving vehicle. In another example, the UAV flies above the receiving vehicle and suspends the product adjacent to a side-window opening of the receiving vehicle to enable an occupant of the receiving vehicle to reach out and retrieve the product.

Abstract: An increasing number of bots become available each day that perform automated tasks over the Internet to help facilitate a variety of service requests for a user. Thus, embodiments are directed to an orchestration service configured to perform bot network orchestration in order to provide enriched responses to service requests and/or in order to find one accurate answer among large numbers of bot responses to a specific query. For example, a service request for a user that involves at least one service provider may be received. A plurality of bots to orchestrate a processing of the service request may be determined. Instructions may be provided to the bots associated with aspects of the service request, where each bot is selected based on an aspect of the service request. Responses received from the bots may be integrated into a service response and provided to a requestor of the service request.