Abstract: A silicone septum having a surface coating. The coated silicone septum may be incorporated in an intravenous catheter assembly. The coating reduces static charge among a plurality of vibrating silicone septa during manufacture of the intravenous catheter assembly. The surface coating includes a coating agent selected from a bicarbonate salt and a siloxane polyalkyleneoxide copolymer. The bicarbonate salt may be an alkali metal bicarbonate. The siloxane polyalkyleneoxide copolymer may include copolymer groups selected from ethyleneoxide, octamethylcyclotetrasiloxane, and mixtures thereof. The silicon septum may be coated by contacting an exterior surface of the silicone septum with a coating solution of a solvent and the coating agent for at least 5 minutes. The coating agent has a concentration in the solvent greater than 1 wt. %. Excess coating solution is removed from the exterior surface of the silicone septum. The exterior surface is dried to remove the solvent, forming the surface coating.

Abstract: A response that preemptively mitigates an effect of a predicted network congestion event is disclosed. A machine learning or artificial intelligence model or process (ML/AI), that can be updatable, can be used to predicting congestion. Key performance indicators can be analyzed in accord with the ML/AI to predict, infer, etc., a characteristics of a congestion event. The analysis can be performed in near-real-time, typically with delays less than one second, but generally more than 10 milliseconds. The ML/AI, or update thereto, can be determined in non-real time, typically with delays greater than one second. A prediction of a congestion event can trigger operations that cause a user equipment to suspend use of a radio access network node, generally by shifting communications to another wireless node, access point, etc. An embodiment of the disclosed subject matter can be embodied via a virtual radio access network component.

Abstract: An illustrative embodiment provides a computer-implemented method for processing wage garnishment court orders includes obtaining a court order for wage garnishment for a user. The method also includes predicting values for a first subset of a number of fields for executing wage garnishment according to the court order using a rule engine. The method also includes predicting values for a second subset of the number of fields using a machine learning engine, wherein the second subset of the number of fields includes missing fields for which the rule engine could not provide a prediction. The machine learning engine includes one of a plurality of classification algorithms. The one of the plurality of classification algorithms selected to use for the machine learning engine for predicting field values is selected according to at least one of accuracy, speed, size of model, and explainability.

Abstract: Methods, systems, and apparatuses, among other things, may dynamically manage the capacity of a wireless network using unmanned vehicles equipped with small cell capabilities.

Abstract: Methods, systems, and apparatuses, among other things, may dynamically manage the capacity of a wireless network using unmanned vehicles equipped with small cell capabilities. Moreover, past traffic data may be analyzed using artificial intelligence models to predict a volume for a base station that exceeds a capacity for the base station and one or more unmanned vehicles may be dispatched to the base station to provide capacity relief.

Abstract: Methods, systems, and apparatuses, among other things, may dynamically manage the capacity of a wireless network using unmanned vehicles equipped with small cell capabilities. Moreover, past traffic data may be analyzed using artificial intelligence models to predict a volume for a base station that exceeds a capacity for the base station and one or more unmanned vehicles may be dispatched to the base station to provide capacity relief.

Abstract: An illustrative embodiment provides a computer-implemented method for processing wage garnishment court orders includes obtaining a court order for wage garnishment for a user. The method also includes predicting values for a first subset of a number of fields for executing wage garnishment according to the court order using a rule engine. The method also includes predicting values for a second subset of the number of fields using a machine learning engine, wherein the second subset of the number of fields includes missing fields for which the rule engine could not provide a prediction. The machine learning engine includes one of a plurality of classification algorithms. The one of the plurality of classification algorithms selected to use for the machine learning engine for predicting field values is selected according to at least one of accuracy, speed, size of model, and explainability.

Abstract: An index is provided that holds information about each image content item in a collection of items, For each image content item, a first information item identifying the image content item and its location on a network, and at least one of (i) a second information item identifying a signature value of an object in the image content, or (ii) identification of a recognized object in the image content.

Abstract: An embodiment provides for enabling retrieval of a collection of captured images that form at least a portion of a library of images. For each image in the collection, a captured image may be analyzed to recognize information from image data contained in the captured image, and an index may be generated, where the index data is based on the recognized information. Using the index, functionality such as search and retrieval is enabled. Various recognition techniques, including those that use the face, clothing, apparel, and combinations of characteristics may be utilized. Recognition may be performed on, among other things, persons and text carried on objects.

Abstract: An embodiment provides for enabling retrieval of a collection of captured images that form at least a portion of a library of images. For each image in the collection, a captured image may be analyzed to recognize information from image data contained in the captured image, and an index may be generated, where the index data is based on the recognized information. Using the index, functionality such as search and retrieval is enabled. Various recognition techniques, including those that use the face, clothing, apparel, and combinations of characteristics may be utilized. Recognition may be performed on, among other things, persons and text carried on objects.

Abstract: An embodiment provides for enabling retrieval of a collection of captured images that form at least a portion of a library of images. For each image in the collection, a captured image may be analyzed to recognize information from image data contained in the captured image, and an index may be generated, where the index data is based on the recognized information. Using the index, functionality such as search and retrieval is enabled. Various recognition techniques, including those that use the face, clothing, apparel, and combinations of characteristics may be utilized. Recognition may be performed on, among other things, persons and text carried on objects.

Abstract: An index is provided that holds information about each image content item in a collection of items, For each image content item, a first information item identifying the image content item and its location on a network, and at least one of (i) a second information item identifying a signature value of an object in the image content, or (ii) identification of a recognized object in the image content.

Abstract: A system includes an image analysis module that is configured to programmatically analyze individual images in a collection of images in order to determine information about each image in the collection. The system may also include a manual interface that is configured to (i) interface with one or more human editors, and (ii) displays a plurality of panels concurrently. Individual panels may be provided for one or more analyzed images, and individual panels may be configured to display information that is at least indicative of the one or more images of that panel and/or of the information determined from the one or more images.

Abstract: Embodiments enable searching of portions of objects in images, including programmatically analyzing each image in a collection in order to determine image data that, for individual images in the collection, represents one or more visual characteristics of a portion of an object shown in that image. A user is enabled to specify one or more search criteria that includes image data, and a search result may be determined based on one or more images in the collection that show a corresponding object that has a portion that satisfies a threshold. The threshold is defined at least in part by the one or more search criteria.

Abstract: An index is provided that holds information about each image content item in a collection of items, For each image content item, a first information item identifying the image content item and its location on a network, and at least one of (i) a second information item identifying a signature value of an object in the image content, or (ii) identification of a recognized object in the image content.

Abstract: An embodiment provides for enabling retrieval of a collection of captured images that form at least a portion of a library of images. For each image in the collection, a captured image may be analyzed to recognize information from image data contained in the captured image, and an index may be generated, where the index data is based on the recognized information. Using the index, functionality such as search and retrieval is enabled. Various recognition techniques, including those that use the face, clothing, apparel, and combinations of characteristics may be utilized. Recognition may be performed on, among other things, persons and text carried on objects.

Abstract: An embodiment provides for enabling retrieval of a collection of captured images that form at least a portion of a library of images. For each image in the collection, a captured image may be analyzed to recognize information from image data contained in the captured image, and an index may be generated, where the index data is based on the recognized information. Using the index, functionality such as search and retrieval is enabled. Various recognition techniques, including those that use the face, clothing, apparel, and combinations of characteristics may be utilized. Recognition may be performed on, among other things, persons and text carried on objects.

Abstract: Images are analyzed by programmatic mechanisms for assessing one or more remote web pages to retrieve content on display at remote web pages. The retrieved images may be analyzed to determine information about an object shown in a corresponding images of the content on display. At least a portion of the object shown in the corresponding image of the content on display may be made selectable and associated with the determined information. This determined information may subsequently be used, in for example, search applications.

Abstract: Embodiments described herein provide a system and method for providing merchandise items at a network site. According to an embodiment, an image of a merchandise item is obtained. The image is programmatically analyzed to determine information about the merchandise item. The information is used to generate a presentation that includes the merchandise item.

Abstract: Images are analyzed by programmatic mechanisms for accessing one or more remote web pages to retrieve content on display at the remote web pages. The retrieved images may be analyzed to determine information about an object shown in a corresponding image of the content on display. At least a portion of the object shown in the corresponding image of the content on display may be made selectable and associated with the determined information. This determined information may subsequently be used, in for example, search applications.