Abstract: A device for performing a secured operation is disclosed. The device is embedded with a predefined data item and verification information. The verification information is uniquely associated with the user of the device. The verification information is linked to the identity of the user. The verification information is configured to be extracted in conjunction with the secured operation being performed. The secured operation is performed in response to the verification information being verified. A system and method for performing the secured operation are also disclosed.

Abstract: A method and related system for presenting generated queries is disclosed. The method includes selecting a first context based on a set of inputs comprising a first query and determining a match between the first context and a stored context. The method also includes generating a second query based on the set of inputs with a first language model in response to the match, identifying an indicated portion of the second query using a second language model, and generating an issue indicator of the second query based on the indicated portion, where the first language model is configured with a schema of a target database and a first query set. The method may also include sending the data to the client device, wherein the data causes the client device to visually present a representation of the indicated portion concurrently with a representation of the issue indicator.

Abstract: Described herein are systems and methods for responding to user input using an agent orchestrator. A system may include a cardiac catheter, a user interface, and a computing device configured to receive, from the user interface, a first user input, receive, from the catheter, the procedure data, determine, using an agent orchestrator, a first agent selection datum, wherein determining the first agent selection datum includes generating the first agent selection datum as a function of the first user input using a trained agent selection machine learning model, using a first agent corresponding to the first agent selection datum, determine a first agent output, wherein determining the first agent output includes inputting into the first agent the procedure data, and receiving, as an output from the first agent, the first agent output, and display, using the user interface, the first agent output.

Abstract: A method and related system for generating and presenting queries is disclosed. The method includes selecting a first context based on a set of inputs including a first query and determining a match between the first context and a stored context associated with a schema. The method further includes generating a second query based on the set of inputs with a first language model in response to the determination of the match and identifying an indicated portion of the second query by providing, as a second input, the second query to a second language model. The method also includes generating data, the data including an issue indicator of the second query based on the indicated portion; and sending the data to the client device.

Abstract: Various aspects of methods, systems, and use cases include techniques for training or using a model to control a robot. A method may include identifying a set of action primitives applicable to a set of robots, receiving information corresponding to a task (e.g., a collaborative task), and determining at least one action primitive based on the received information. The method may include training a model to control operations of at least one robot of the set of robots using the received information and the at least one action primitive.

Abstract: Charging initiation methods for flow batteries, controllers for flow batteries and flow battery systems are disclosed. A charging initiation method for a flow battery which allows charging of the flow battery from an AC power supply with a power converter having a minimum operational DC voltage is described. Details of the flow battery construction are provided. The charging initiation method so described includes a pre-charging initiation condition that varies depending on a DC voltage threshold or a current threshold.

Abstract: A hardware reconfiguration system for first and second devices is in a lock-step configuration using a comparator that provides a lock-step error indication. The system includes at least one register that stores a lock-step threshold. The system also includes a lock-step monitor configured to compare a count of occurrences of the lock-step error indication from the comparator with the lock-step threshold. When the lock-step threshold is reached, the lock-step monitor is configured to enter a repair state to determine which one of the first and second devices is operating correctly and reconfigure operation into a split-lock mode to resume operation using the one of the first and second devices that is operating correctly.

Abstract: Systems and methods for ophthalmic disease detection and risk assessment that combines digitally-augmented examination instruments with neural networks trained to analyze examination imagery across diverse patient populations and variable image qualities, enabling automated analysis and classification of eye conditions during routine clinical examinations.

Abstract: A computing device receives a user input to add a data visualization to a first visualization card in a first scene of an interactive presentation. In response to the user input, when the first scene is an initial scene to be added, the device computes, for each metric of a plurality of metrics, a respective parameter that measures the variability of values of the respective metric, and identifies a first subset of metrics based on the computed parameters. The device generates a respective data visualization for each metric. The device displays a plurality of the generated data visualizations. The device receives user selection of a first data visualization of the plurality of data visualizations, corresponding to a first metric of the subset of metrics. In response to the user selection, the device populates the first visualization card with the first data visualization.

Abstract: Methods, apparatuses, and computer-readable mediums for wireless communication by a user equipment (UE) includes transmitting a packet on a first resource, determining one or more repetition resources on which to send one or more redundancy versions of the packet, wherein the one or more repetition resources are at a time subsequent to the first resource, transmitting repetition resource information identifying the one or more repetition resources to one or more neighboring UEs, and transmitting the one or more redundancy versions of the packet on respective ones of the one or more repetition resources.

Abstract: A computing platform may be configured to (i) obtain an input dataset, (ii) construct a graph from the input dataset, (iii) for a given node within the constructed graph, generate a first type of embedding vector using a first embedding technique (e.g., a shallow embedding technique) and a second type of embedding vector using a second embedding technique that differs from the first embedding technique (e.g., a deep embedding technique), and (iv) use the first and second types of embedding vectors for the given node and a data science model to render a given prediction for the given node.

Abstract: A computing device performs an automated analysis of a data source and generates one or more first natural language outputs in accordance with the automated analysis. The device displays the first natural language outputs in a graphical user interface and receives user selection of a natural language output of the first natural language outputs. In response to receiving the user selection, the device generates a first data visualization according to the automated analysis, one or more data fields of the data source specified in the natural language output, and/or analytical operations specified in the natural language output. The device displays the first data visualization in the graphical user interface. The device generates one or more second natural language outputs and displays the second natural language outputs in the graphical user interface.

Abstract: A frequency selective coupler configured as a harmonic rejection filter includes an electromagnetic element configured to electromagnetically couple to a signal path between an output of a power amplifier and an antenna, an impedance network coupled between an isolated port of the coupler and ground, the impedance network configured to provide a harmonic filter response, and an electrically unconnected coupled port connected to the electromagnetic element.

Abstract: A system for context-aware decision making of an autonomous agent includes a computing system having a context selector and a map. A method for context-aware decision making of an autonomous agent includes receiving a set of inputs, determining a context associated with an autonomous agent based on the set of inputs, and optionally any or all of: labeling a map; selecting a learning module (context-specific learning module) based on the context; defining an action space based on the learning module; selecting an action from the action space; planning a trajectory based on the action S260; and/or any other suitable processes.

Abstract: According to at least one aspect, a system for analyzing computer usage data of a user to identify an underlying task being performed by the user is provided. The system includes a hardware processor and a non-transitory computer-readable storage medium storing processor-executable instructions that, when executed by the hardware processor, cause the hardware processor to perform: receiving a plurality of events each indicative of an action performed by a user and contextual information associated with the action performed by the user, clustering the plurality of events to generate a plurality of clustered events, identifying a plurality of sub-tasks in the plurality of clustered events that each comprise a sequence of clustered events, identifying a task in the plurality of clustered events being performed by the user that comprises at least one sub-task, and generating a score for the task indicative of a difficulty of automating the task.

Abstract: Described herein are compounds and methods for the treatment of coronavirus infection. The compounds can function as an inhibitor of the main protease (Mpro) of coronaviruses. The compounds can include diphenylmethyl piperazine derivatives, diphenylmethyl piperidine derivatives, diphenylmethylidene piperidine derivatives, tricyclo[9.4.0.03,8]pentadeca-1(11),3(8),4,6,12,14-hexaen derivatives, tricyclo[9.4.0.03,8]pentadeca-1(11),3(8),4,6,9,12,14-heptaen derivatives, 6,11-dihydrobenzo[c][1]benzoxepin derivatives, 6,11-dihydrobenzo[c][1]benzothiepin derivatives, 5,5-dioxo-6,11-dihydrobenzo[c][1]benzothiepin derivatives, and 6-oxo-5,11-dihydrobenzo[c][1]benzazepin derivatives, as well as pharmaceutically acceptable salts, hydrates, and prodrugs thereof.

Abstract: A computing system configured to perform artificial intelligence-powered search and evaluation functionalities is disclosed. The computer system can receive a natural language search input entered through a user interface, request a search engine to perform a search based on the natural language search input, receive search results returned by the search engine, and submit, in runtime, structured data contained in the search results to a large language model. The structured data includes a table including one or more records and a plurality of fields. The computing system can prompt, in runtime, the large language model to generate scores for the one or more records and present the structured data and the scores on the user interface.

Abstract: A system and method for monitoring and optimizing work assistant search engines implemented within secured enterprise computing systems include one or more processing devices to receive diagnostic data of a work assistant search engine from a secured enterprise computing system. The one or more processing devices may further determine, by analyzing the diagnostic data, a search quality metric value associated with the feature values and the scores. Responsive to determining that the search quality metric value differs from a target search quality metric value by a predetermined threshold value, the one or more processing devices may further determine an updated score model, and provide the updated score model to the secured enterprise computing system to update the work assistant search engine.

Abstract: A method of controlling a plurality of Internet of Things (IoT) devices included in an IoT ecosystem is provided. A change of a value of a resource of an IoT device from among the plurality of IoT devices is detected, an intent associated with the resource of which the value is changed is identified, a resource associated with the identified intent from among resources of the plurality of IoT devices is determined, and a value of the determined resource is controlled based on a context corresponding to the identified intent.

Abstract: A method for controlling an ego vehicle in an environment includes associating, by a velocity model, one or more objects within the environment with a respective velocity instance label. The method also includes selectively, by a recurrent network of the taillight recognition system, focusing on a selected region of the sequence of images according to a spatial attention model for a vehicle taillight recognition task. The method further includes concatenating the selected region with the respective velocity instance label of each object of the one or more objects within the environment to generate a concatenated region label. The method still further planning a trajectory of the ego vehicle based on inferring, at a classifier of the taillight recognition system, an intent of each object of the one or more objects according to a respective taillight state of each object, as determined based on the concatenated region label.