Abstract: Custom radioactive seed carriers are fabricated pre-operatively and/or intra-operatively to more precisely match carrier specification of a radiation treatment plan for a particular patient. One or more carrier specification component, such as a 3D printer, injection molding system, machining component, or bioprinter, may be utilized to create the custom carrier.

Abstract: An electronic learning system and method for providing at least one recommended personalized learning pathway to a user. The system may include one or more computing devices that communicate input data, and receive output data, over a network with a learning management system. A server may be configured to: provide the learning management system over the network; store data, including user data, education provider data, and/or industry data, on at least one storage device; and implement at least one analytics engine. The analytics engine may be configurable to: analyze the data associated with the learning management system; generate personalized data indicative of a personalized learning pathway that enables a user to build the competencies for a desired career and/or grow an individual's career, the personalized data based at least in part on the analyzed data; and generate at least one recommendation for the user based on the personalized data.

Abstract: Systems and methods provide for a multi-modal development environment to receive inputs using a variety of different input modalities in different user interfaces (UIs). Multiple user interfaces may be linked within the development environment to maintain state information so that inputs provided to one UI are represented in the other UIs using an appropriate equivalent representation based on the UI modality. Users of the development environment may select a given UI for interaction based on a desired task and then see changes tracked and relayed through the different UIs to verify changes within the development environment. The UIs may also be contextually linked to permit the user to work between both UIs without losing the context due to the switch.

Abstract: Systems and methods provide for modular, iterative framework to resolve inputs provided to an interaction environment. The input may be decomposed into different component parts and then relevant actions for each of the component parts may be predicted. An action may be selected and relevant parameters may be populated based on the input. If parameters remain unresolved, additional queries may be presented in order to resolve the remaining parameters. Multiple actions may be executed and then prepared to generate a combined response responsive to the input. Actions for a given interaction environment may be domain-specific and also may be developer-defined for a given goal or task to restrict one or more underlying language systems.

Abstract: Systems and methods provide for a multi-modal development environment to receive inputs using a variety of different input modalities in different user interfaces (UIs). Multiple user interfaces may be linked within the development environment to maintain state information so that inputs provided to one UI are represented in the other UIs using an appropriate equivalent representation based on the UI modality. Users of the development environment may select a given UI for interaction based on a desired task and then see changes tracked and relayed through the different UIs to verify changes within the development environment. The UIs may also be contextually linked to permit the user to work between both UIs without losing the context due to the switch.

Abstract: Long-term memory data objects may be generated for orchestrations agents. When a session completes or ends, a long-term memory data object may be generated according to a specified long-term memory type based on turn inputs during the session. When a new session is started, the long-term memory data object may be used as part of inputs to a generative machine learning model to perform or respond to turn inputs of the new session.

Abstract: A method and system for automatic task time estimation and scheduling comprising the steps of: (1) storing a plurality of media items; (2) defining an aggregate task; (3) storing participant data and historical time data; (4) determining a plurality of metadata attributes; and (5) determining a final time estimate.

Abstract: A dose feedback system provides real-time or near real-time intra-operative radiation dose feedback system to improve and/or ensure that a proper amount of radiation is delivered to a patient by, for example, carriers (e.g., tile carriers). The dose feedback system can be implemented during medical surgeries, operations, procedures, etc. The dose feedback system may allow a medical professional (e.g., surgeon) to more accurately achieve a prescribed radiation of a dosimetric intent or a more detailed dosimetric plan through adjustments to position, dose, quantity, etc. of carriers prior to terminating the medical procedure (e.g., cavity of tumor bed is closed and/or patient is brought out from under anesthesia) at which point adjusting the radiation dose may be difficult or impossible.

Abstract: Systems and methods for automatically revising feedback in an electronic learning system are provided. The method involves operating at least one processor to: receive feedback text data submitted by a user to evaluate another user; identify a plurality of sentiment groups in the feedback text data, each sentiment group consisting of a portion of the feedback text data associated with a common sentiment; select at least one feedback processing module to process each sentiment group, the at least one feedback processing module comprising at least one machine-learned model; for each sentiment group, process the corresponding portion of the feedback text data using the at least one machine-learned model to determine at least one suggested revision for the portion of the feedback text data; and generate a revised version of the feedback text data indicating each suggested revision for the feedback text data.

Abstract: A set of alternative vocal input styles for specifying a parameter of a dialog-driven application is determined. During execution of the application, an audio prompt requesting input in one of the styles is presented. A value of the parameter is determined by applying a collection of analysis tools to vocal input obtained after the prompt is presented. A task of the application is initiated using the value.

Abstract: Techniques for at least the generation of a chatbot built from a custom vocabulary and to use runtime hints during inference are described. In some examples, the generation of the chatbot includes receiving a request to build a chatbot using a bot definition and a custom vocabulary, wherein the chatbot is to use runtime hints during usage; building the chatbot from the bot definition and custom vocabulary by at least: generating automatic speech recognition (ASR) artifacts to be used in decoding audio input into the chatbot into text for at least one other component of the chatbot to use in determining a next act to be performed, the ASR artifacts including artifacts that use the custom vocabulary and artifacts that do not use the custom vocabulary, and storing the ASR artifacts.

Abstract: A target adjustment apparatus may be provided. The target adjustment apparatus may include an optical targeting device having a first zero. The target adjustment apparatus may further include an optical adjustment lens removably disposed in a line of sight between a target and the optical targeting device. The optical adjustment lens may shift a target image before it reaches the optical targeting device, creating a second zero.

Abstract: A method for providing enhanced resiliency of a radio access network (RAN) cell site having multiple sectors includes: providing a first radio unit (RU) simultaneously serving a first set of sectors with a first set of antenna streams; providing a second RU simultaneously serving at least a second set of sectors with a second set of antenna streams; providing a third RU simultaneously serving at least a third set of sectors with a third set of antenna streams; and reconfiguring, by a network management unit, at least the first set of sectors with a reduced antenna configuration in the case of one of a failure or shutdown of the first RU, and all sectors of the cell site are served by the second RU and the third RU to remain in service.

Abstract: A set of alternative vocal input styles for specifying a parameter of a dialog-driven application is determined. During execution of the application, an audio prompt requesting input in one of the styles is presented. A value of the parameter is determined by applying a collection of analysis tools to vocal input obtained after the prompt is presented. A task of the application is initiated using the value.

Abstract: A method for implementing automated testing of an Open Radio Access Network (O-RAN) system in the cloud includes: hosting, in the cloud, the O-RAN test system; triggering an automation suite of an automation framework to execute a pre-defined set of test cases on the O-RAN test system; and transmitting test results including key performance indicators (KPIs) to at least a results repository hosted in the cloud; wherein the automation framework comprises i) a front end module hosted on a public cloud, and ii) a back end module hosted on one of a private cloud and the public cloud, and wherein the front end module and the back end module communicate via an application programming interface. The O-RAN test system comprises at least one of simulated radio units (RUs) and simulated user equipments (UEs) simulated by a test software, and the O-RAN test system is hosted on the public cloud.

Abstract: Domain-specific parameters may be used for tuning speech processing. A pre-trained transformer-based language model may train domain-specific parameters using domain-specific unlabeled text data. This domain-specific parameters can then be appended to candidate texts produced by a speech model on received speech data and input to the transformer-based language model to score the candidate texts. The scores of the candidate texts determined using the pre-trained transformer-based language model can then be used to select a candidate text for further speech processing.

Abstract: The disclosure is directed to devices for use in radiation therapy. Various configurations of shielding materials within shielding layers, such as for use in shielding radiation from radioactive sources within implanted radioactive carriers, are discussed herein.

Abstract: Based on analysis of a workload associated with a throttling key of a client request directed to a first service, a scale-out requirement of the throttling key is obtained at respective resource managers of a plurality of other services which are utilized by the first service to respond to client requests. The resource managers initiate, asynchronously with respect to one another, resource provisioning tasks at each of the other services to fulfill the scale-out requirement. A throttling limit associated with the throttling key is updated to a second throttling key after the resource provisioning tasks are completed by the resource managers, and the updated limit is used to determine whether to accept another client request associated with the throttling key.

Abstract: A target adjustment apparatus may be provided. The target adjustment apparatus may include an optical targeting device having a first zero. The target adjustment apparatus may further include an optical adjustment lens removably disposed in a line of sight between a target and the optical targeting device. The optical adjustment lens may shift a target image before it reaches the optical targeting device, creating a second zero.

Abstract: The disclosure is directed to devices for use in radiation therapy. Various configurations of shielding materials within shielding layers, such as for use in shielding radiation from radioactive sources within implanted radioactive carriers, are discussed herein.