Abstract: A system for updating training data includes an interface and a processor. The interface is configured to receive a set of vehicle data. The set of vehicle data includes images and assigned labels associated with the images. The processor is configured to determine a set of training data and a set of test data from the set of vehicle data; train a model with the set of training data; determine a set of predicted labels for the set of vehicle data using the model; identify a set of potential mislabeled data using the set of predicted labels and the assigned labels; and determine an updated set of training data by relabeling the set of potential mislabeled data and replacing the set of potential mislabeled data with a relabeled set of data.

Abstract: A method of training a conversational computing system. The method includes providing an initial query to a machine learning model previously trained to generate actions for responding to a query. Based on the initial query, a plurality of candidate actions are received from the machine learning model and presented via a training interface. Based on input provided by the human annotator, a selected candidate action is recognized and associated with the initial query in a labeled data example.

Abstract: Systems, methods, and computer-readable media for assessing reliability and trustworthiness of devices across domains. Attestation information for an attester node in a first domain is received at a verifier gateway in the first domain. The attestation information is translated at the verifier gateway into translated attestation information for a second domain. Specifically, the attestation information is translated into translated attested information for a second domain that is a different administrative domain from the first domain. The translated attestation information can be provided to a verifier in the second domain. The verifier can be configured to verify the trustworthiness of the attester node for a relying node in the second domain by identifying a level of trust of the attester node based on the translated attestation information.

Abstract: The instant disclosure seeks to provide a container lid that allows a liquid to be filtered, carried, and poured using the same lid. The container filter lid includes a lid body, filter material, and filter cap. The filter cap is demountably coupled the lid body. The filter cap includes a top surface. The filter material is positioned between the filter cap and the lid body. The lid body includes a first port. The filter cap includes a second port. The filter cap includes a filter reservoir. The filter reservoir extends from the filter cap opposite the top surface. The filter material is positioned adjacent to the filter reservoir. The filter reservoir is positioned between the top surface and the filter material. The lid body includes a pour spout. The pour spout is positioned opposite the first port. The container filter lid also includes a filter cap gasket.

Abstract: The present disclosure relates to systems, methods, and computer-readable media for providing digital content for an application to users. For example, systems described herein can provide a license for the digital content during a rental time. Systems disclosed herein may additionally track a duration of use of an application and compare the tracked use against an amount of rental time purchased (e.g., rented) by a user. The systems described herein may further extend a license or terminate the license based on a determination of whether the amount of use exceeds a rental time. Features and functionality described herein provide a flexible and efficient mechanism that enables users having a variety of content-consuming preferences to receive affordable content while ensuring that use of an application is efficiently and accurately tracked.

Abstract: Implementations of the disclosure provide for receiving, by a processing device, a request for a first data object associated with graph data elements and a metadata of a graph model, inspecting an observable data object to identify whether a copy of the first data object exists on a storage device associated with the processing device, responsive to failing to identify the copy of the first data object on the storage device, transmitting a service request to a host computer for the graph data elements, the service request comprising an identifier of the first data object, responsive to receiving the graph data elements from the host computer, retrieving, from the storage device, the metadata identified by a first reference stored in the observable data object, generating the first data object using the graph data elements and the metadata, and presenting the first data object on a display device.

Abstract: A system for updating training data includes an interface and a processor. The interface is configured to receive a set of vehicle data. The set of vehicle data includes images and assigned labels associated with the images. The processor is configured to determine a set of training data and a set of test data from the set of vehicle data; train a model with the set of training data; determine a set of predicted labels for the set of vehicle data using the model; identify a set of potential mislabeled data using the set of predicted labels and the assigned labels; and determine an updated set of training data by relabeling the set of potential mislabeled data and replacing the set of potential mislabeled data with a relabeled set of data.

Abstract: Systems and methods are provided for monitoring information-security coverage to identify a vulnerability or risk in the information-security coverage. An information-security system can include computing systems, databases, a security server, etc. that can communicate data via a network. The server can be used to obtain data indicating a process for managing or monitoring information-security in the system and data indicating activity on the network, computing systems, server, or databases. The server then determines a metric based on the obtained data and the metric can indicate a risk or vulnerability in information-security coverage in the system. The server can then aggregate the data and transmit the aggregated data to a computing device. The computing device can generate an interface for outputting data for monitoring information-security coverage or identifying a vulnerability or risk in information-security coverage, which can improve the security of the information-security system.

Abstract: A junction hub may include a fixture body include a top portion and a bottom portion. The junction hub may further include a connector device for operably coupling a mounting structure to the fixture body. The junction hub may even further include a terminal block disposed in the fixture body for facilitating the connection of a power source to at least one lighting fixture.

Abstract: A system for video analysis includes an interface and a processor. The interface is configured to receive a trigger indication. The processor is configured to determine a time sequence set of video frames associated with the trigger indication; determine a decision based at least in part on an analysis of the time sequence set of video frames; and indicate the decision.

Abstract: A landscape lighting junction device includes a junction body having a first portion and a second portion connectable together in a closed position defining an interior cavity. The junction device may further include a terminal block disposed in the junction body to facilitate the electrical connection of a power source to at least one lighting fixture. The junction device may further include a predetermined amount of viscous sealant disposed in the junction body.

Abstract: A computer-implemented method of responding to a conversational event. The method comprises enacting, by a conversational computing interface, an initial computer-executable plan based on a conversational event received by the conversational computing interface, wherein the initial computer-executable plan is configured to output an initial value based on the conversational event. The method further comprises selecting, by the conversational computing interface, an extended computer-executable plan based on determining that the initial value is insufficient for generating an extended description responsive to the conversational event. The method further comprises enacting, by the conversational computing interface, the extended computer-executable plan to output additional information beyond what the initial computer-executable plan is configured to output, the additional information sufficient for generating the extended description responsive to the conversational event.

Abstract: Systems and methods are provided for monitoring information-security coverage to identify a vulnerability or risk in the information-security coverage. An information-security system can include computing systems, databases, a security server, etc. that can communicate data via a network. The server can be used to obtain data indicating a process for managing or monitoring information-security in the system and data indicating activity on the network, computing systems, server, or databases. The server then determines a metric based on the obtained data and the metric can indicate a risk or vulnerability in information-security coverage in the system. The server can then aggregate the data and transmit the aggregated data to a computing device. The computing device can generate an interface for outputting data for monitoring information-security coverage or identifying a vulnerability or risk in information-security coverage, which can improve the security of the information-security system.

Abstract: A method, comprising recognizing a user utterance for processing. The method further comprises using a previously-trained code-generation machine to generate, from the user utterance, a data-flow program configured to produce a return value upon successful execution. The method further comprises beginning execution of the data-flow program. Responsive to reaching an error condition resulting from execution of the data-flow program, the method further comprises, prior to the data-flow program producing the return value, suspending execution of the data flow program. The method further comprises using the previously-trained code-generation machine to generate an error-handling data-flow program, wherein the error-handling data-flow program is configured to produce the return value; beginning execution of the error-handling data-flow program to produce the return value; and outputting the return value.

Abstract: A method comprising recognizing a user utterance including an ambiguity. The method further comprises using a previously-trained code-generation machine to produce, from the user utterance, a data-flow program including a search-history function. The search-history function is configured to select a highest-confidence disambiguating concept from one or more candidate concepts stored in a context-specific dialogue history.

Abstract: A system for video analysis includes an interface and a processor. The interface is configured to receive a trigger indication. The processor is configured to determine a time sequence set of video frames associated with the trigger indication; determine a decision based at least in part on an analysis of the time sequence set of video frames; and indicate the decision.

Abstract: A computing device includes a display configured to present a graphical user interface. The graphical user interface includes a transcript portion configured to display an unannotated transcript representing an ordered sequence of one or more dialogue events involving a client and a computerized assistant, at least one of the dialogue events taking the form of an example client utterance, and an annotation portion configured to display a hierarchical menu including a plurality of candidate utterance annotations. An utterance annotation machine is configured to receive one or more computer inputs selecting, for each of one or more response parameters in the example client utterance, utterance annotations from the hierarchical menu that collectively define a machine-readable interpretation of the example client utterance. An annotated utterance having a predetermined format usable to train the computerized assistant is output to a data store based on the example client utterance.

Abstract: The present technology discloses systems, methods, and computer-readable media for requesting at least one signed security measurement from at least one module with a corresponding cryptoprocessor, the at least one module existing within a device; receiving the at least one signed security measurement from the at least one module with the corresponding cryptoprocessor; validating the at least one signed security measurement; generating a signed dossier including all validated signed security measurements in a secure enclave, the signed dossier being used by an external network device for remote attestation of the device.