Abstract: Provided herein are compounds, or salts, esters, tautomers, prodrugs, zwitterionic forms, or stereoisomers thereof, as well as pharmaceutical compositions comprising the same. Also provided herein are methods of using the same in modulating (e.g., inhibiting) KRAS (e.g., KRAS having a G12D or G12V mutation or wild-type KRAS) and treating diseases or disorders such as cancers in subjects in need thereof.

Abstract: In one embodiment, a method comprises: obtaining, by a process, path trace data collected by a plurality of performance monitoring agents across a computer network; obtaining, by the process, one or more catalogs having application-based correlation information for the path trace data; generating, by the process, network mapping directed graphs by correlating the path trace data using the one or more catalogs, the network mapping directed graphs logically comprising nodes categorized at a plurality of levels of aggregation and edges connecting the nodes; associating, by the process, test-based performance data with the edges of the network mapping directed graphs; and providing, by the process, at least one Sankey diagram based on the network mapping directed graphs and test-based performance data associated with their edges for selectable display by a user interface.

Abstract: Described herein is a software update distribution service that leverages reinforcement learning—a specific type machine learning algorithm—to discover or learn optimal times (e.g., a schedule) to download software updates and to install software updates for software applications installed on a group of client computing devices of a specific enterprise, in order to achieve one of several predefined goals or objectives selected for the specific enterprise, or for the specific group of client computing devices. Using reinforcement learning, a software-based agent learns to perform activities relating to software updates at specific times that minimize a penalty, wherein the penalty is derived based on a weighted combination of metrics, some of which relate to the impact of software update timing on network traffic and power consumption.

Abstract: Technology is disclosed herein for the integration of large language model (LLM) services for content analysis in productivity applications. In an implementation, an application identifies content associated with the application executing on the computing apparatus. The application identifies a context relating to the content, wherein the context comprises contextual information by which to evaluate the content. The application generates a prompt for an LLM service which includes the content and the context. The prompt requests an evaluation of the content to recommend supplemental content and submits the prompt to the LLM service. The application receives a response to the prompt from the LLM service which includes a suggestion for supplemental content based on the evaluation and displays, in a user interface of the application, a recommendation based on the suggestion from the LLM service.

Abstract: Embodiments disclosed herein include a diagnostic substrate, comprising a baseplate, and a first plurality of image sensors on the baseplate, where the first plurality of image sensors are oriented horizontal to the baseplate. In an embodiment, the diagnostic substrate further comprises a second plurality of image sensors on the baseplate, where the second plurality of image sensors are oriented at a non-orthogonal angle to the baseplate. In an embodiment, the diagnostic substrate further comprises a printed circuit board (PCB) on the baseplate, and a controller on the baseplate, where the controller is communicatively coupled to the first plurality of image sensors and the second plurality of image sensors by the PCB. In an embodiment, the diagnostic substrate further comprises a diffuser lid over the baseplate, the PCB, and the controller.

Abstract: Described herein is a software update distribution service that leverages reinforcement learning—a specific type machine learning algorithm—to discover or learn optimal times (e.g., a schedule) to download software updates and to install software updates for software applications installed on a group of client computing devices of a specific enterprise, in order to achieve one of several predefined goals or objectives selected for the specific enterprise, or for the specific group of client computing devices. Using reinforcement learning, a software-based agent learns to perform activities relating to software updates at specific times that minimize a penalty, wherein the penalty is derived based on a weighted combination of metrics, some of which relate to the impact of software update timing on network traffic and power consumption.

Abstract: Systems and methods for recording a meeting using a retroactive record feature. The present technology provides for improved systems and methods for providing a recording of a virtual meeting, where a selection to initiate the recording from the beginning or an earlier time in the meeting from a current time may be received after the virtual meeting has started. The system may process received meeting content streams to generate a plurality of data segments that may collectively form a meeting recording. Each data segment, for example, may include meeting content associated with a particular user/attendee and associated with a timestamp and/or time duration. In some examples, the plurality of data segments may be stored on a blockchain, which may provide an immutable meeting record that may be concatenated together and made available for playback based on a selection to record the meeting and consent given by the users/attendees.

Abstract: Embodiments disclosed herein include a diagnostic substrate, comprising a baseplate, and a first plurality of image sensors on the baseplate, where the first plurality of image sensors are oriented horizontal to the baseplate. In an embodiment, the diagnostic substrate further comprises a second plurality of image sensors on the baseplate, where the second plurality of image sensors are oriented at a non-orthogonal angle to the baseplate. In an embodiment, the diagnostic substrate further comprises a printed circuit board (PCB) on the baseplate, and a controller on the baseplate, where the controller is communicatively coupled to the first plurality of image sensors and the second plurality of image sensors by the PCB. In an embodiment, the diagnostic substrate further comprises a diffuser lid over the baseplate, the PCB, and the controller.

Abstract: Provided herein are compounds, or salts, esters, tautomers, prodrugs, zwitterionic forms, or stereoisomers thereof, as well as pharmaceutical compositions comprising the same. Also provided herein are methods of using the same in modulating (e.g., inhibiting) KRAS (e.g., KRAS having a G12C mutation) and treating diseases or disorders such as cancers in subjects in need thereof.

Abstract: Provided herein are compounds of formula (I) and (II), or salts, esters, tautomers, prodrugs, zwitterionic forms, or stereoisomers thereof, as well as pharmaceutical compositions comprising the same. Also provided herein are methods of using the same in modulating (e.g., inhibiting) KRAS (e.g., KRAS having a G12D mutation) and treating diseases or disorders such as cancers in subjects in need thereof.

Abstract: In one embodiment, a device obtains test results for tests targeted at a web application, the tests performed by a plurality of agents. The device maps a portion of the test results to a component of the web application based on identifying information within the portion of the test results. The device makes, based on the portion of the test results that are mapped to the component of the web application, a determination that the component of the web application is experiencing an outage. In one embodiment, the device causes, based on the determination that the component of the web application is experiencing the outage, a mitigation action for the outage.

Abstract: Systems and methods for recording a meeting using a retroactive record feature. The present technology provides for improved systems and methods for providing a recording of a virtual meeting, where a selection to initiate the recording from the beginning or an earlier time in the meeting from a current time may be received after the virtual meeting has started. The system may process received meeting content streams to generate a plurality of data segments that may collectively form a meeting recording. Each data segment, for example, may include meeting content associated with a particular user/attendee and associated with a timestamp and/or time duration. In some examples, the plurality of data segments may be stored on a blockchain, which may provide an immutable meeting record that may be concatenated together and made available for playback based on a selection to record the meeting and consent given by the users/attendees.

Abstract: Embodiments disclosed herein include a diagnostic substrate, comprising a baseplate, and a first plurality of image sensors on the baseplate, where the first plurality of image sensors are oriented horizontal to the baseplate. In an embodiment, the diagnostic substrate further comprises a second plurality of image sensors on the baseplate, where the second plurality of image sensors are oriented at a non-orthogonal angle to the baseplate. In an embodiment, the diagnostic substrate further comprises a printed circuit board (PCB) on the baseplate, and a controller on the baseplate, where the controller is communicatively coupled to the first plurality of image sensors and the second plurality of image sensors by the PCB. In an embodiment, the diagnostic substrate further comprises a diffuser lid over the baseplate, the PCB, and the controller.

Abstract: Embodiments disclosed herein include a diagnostic substrate, comprising a baseplate, and a first plurality of image sensors on the baseplate, where the first plurality of image sensors are oriented horizontal to the baseplate. In an embodiment, the diagnostic substrate further comprises a second plurality of image sensors on the baseplate, where the second plurality of image sensors are oriented at a non-orthogonal angle to the baseplate. In an embodiment, the diagnostic substrate further comprises a printed circuit board (PCB) on the baseplate, and a controller on the baseplate, where the controller is communicatively coupled to the first plurality of image sensors and the second plurality of image sensors by the PCB. In an embodiment, the diagnostic substrate further comprises a diffuser lid over the baseplate, the PCB, and the controller.

Abstract: Systems and methods for recording a meeting using a retroactive record feature. The present technology provides for improved systems and methods for providing a recording of a virtual meeting, where a selection to initiate the recording from the beginning or an earlier time in the meeting from a current time may be received after the virtual meeting has started. The system may process received meeting content streams to generate a plurality of data segments that may collectively form a meeting recording. Each data segment, for example, may include meeting content associated with a particular user/attendee and associated with a timestamp and/or time duration. In some examples, the plurality of data segments may be stored on a blockchain, which may provide an immutable meeting record that may be concatenated together and made available for playback based on a selection to record the meeting and consent given by the users/attendees.

Abstract: Systems and methods for recording a meeting using a retroactive record feature. The present technology provides for improved systems and methods for providing a recording of a virtual meeting, where a selection to initiate the recording from the beginning or an earlier time in the meeting from a current time may be received after the virtual meeting has started. The system may process received meeting content streams to generate a plurality of data segments that may collectively form a meeting recording. Each data segment, for example, may include meeting content associated with a particular user/attendee and associated with a timestamp and/or time duration. In some examples, the plurality of data segments may be stored on a blockchain, which may provide an immutable meeting record that may be concatenated together and made available for playback based on a selection to record the meeting and consent given by the users/attendees.

Abstract: In one embodiment, a method comprises: obtaining, by a process, path trace data collected by a plurality of performance monitoring agents across a computer network; obtaining, by the process, one or more catalogs having application-based correlation information for the path trace data; generating, by the process, network mapping directed graphs by correlating the path trace data using the one or more catalogs, the network mapping directed graphs logically comprising nodes categorized at a plurality of levels of aggregation and edges connecting the nodes; associating, by the process, test-based performance data with the edges of the network mapping directed graphs; and providing, by the process, at least one Sankey diagram based on the network mapping directed graphs and test-based performance data associated with their edges for selectable display by a user interface.

Abstract: In one embodiment, a device obtains test results for tests targeted at a web application, the tests performed by a plurality of agents. The device maps a portion of the test results to a component of the web application based on identifying information within the portion of the test results. The device makes, based on the portion of the test results that are mapped to the component of the web application, a determination that the component of the web application is experiencing an outage. In one embodiment, the device causes, based on the determination that the component of the web application is experiencing the outage, a mitigation action for the outage.

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: A system and method for a software update management system which provides control over the distribution of software updates and increases payload distribution efficiency by providing a dynamically controlled next check-in frequency to each endpoint of the system. The system may use information provided from other services stored in a service database to determine the next check-in frequency. The update management system may further incorporate machine learning to optimize the next check-in frequency for each endpoint.