Abstract: Systems, computer-readable media, and methods are described for causing display of a map and receiving configuration input to map controls filtering out resources to select a subset of unfiltered resources. The map is displayed in a filtered state showing at least a particular resource of the subset at a particular resource location associated with the particular resource without showing the filtered resources on the map. While the map is in the filtered state, a selection of a particular task item is received and the particular resource is automatically scheduled to complete the particular task item a particular status of the particular task item is automatically updated, a resource task schedule is automatically updated for the particular resource to include the, and the map is automatically updated to include an indication that is based at least in part on both the particular task location and the particular resource location.

Abstract: Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing context-based document classification prediction using a hierarchical attention-based keyword classifier machine learning framework. Certain embodiments of the present invention utilize systems, methods, and computer program products that perform context-based document classification prediction using at least one of techniques using contextual keyword classifications, techniques using attention-based keyword classifier machine learning framework, techniques using a greedy matching indicator, and/or the like.

Abstract: Techniques are disclosed for using prompt engineering and statistical root cause analysis (RCA) to increase the accuracy of machine learning RCA. In an example, a computing system generates a prompt for root cause analysis of an application-layer anomaly within system of elements across a plurality of layers. The prompt comprises a cross-layer topology graph of the elements across the plurality of layers, diagnostics information for the elements, and a list of the elements and corresponding diagnostics information ordered according to a likelihood of being a source of a root cause of the application-layer anomaly. The computing system provides the generated prompt to a machine learning model to obtain, based at least in part on the generated prompt, a response comprising the root cause of the application-layer anomaly. The computing system outputs the response.

Abstract: Various examples, systems, and methods are disclosed relating to resource and thermal management. A first computing system can obtain, from at least one monitor of at least one processing unit of or associated with the one or more processors, data corresponding to at least one metric of the at least one processing unit. The first computing system further can determine, using at least one artificial intelligence (AI) model, a predicted state of the at least one processing unit based at least on the at least one metric. The first computing system further can update, using the predicted state, at least one static data structure corresponding with a hardware configuration of the at least one processing unit to adjust resource management of the at least one processing unit for execution of a processing task by the at least one processing unit.

Abstract: In some examples, a method is described. The method includes receiving a prompt including a set of input elements and applying the input prompt to a large language model to generate a summary comprising a set of generated elements. A target element within the set of generated elements can be identified, and a similarity score determined for each input element. The similarity score can represent a strength of similarity between the input element and the target element. The method includes identifying sets of candidate contributor elements among the input elements based on the similarity score for each input element of the set of input elements. A reduced prompt can then be generated. The method includes applying the reduced prompt to the LLM to generate a second summary comprising a second set of generated elements. The method can then include identifying candidate contributor elements.

Abstract: Embodiments described herein relate to systems and methods for automatically generating content for a generative content interface of a collaboration platform. The system may perform an intent analysis on a natural language user input to the generative content interface to determine an intent confidence score with respect to each of a set of request classifiers, the set of request classifiers comprising a first request classifier associated with a request for an action, a second request classifier associated with a request for information, and a third request classifier associated with a request for a contact. Based on the intent confidence scores of the request classifiers, the system may select a content store in which to search for content to satisfy a user's query.

Abstract: A system may include an output driver configured to drive an output voltage, a voltage supply configured to generate a supply voltage for powering the output driver, and a predictive load current circuit configured to predict a load current to be drawn by the output driver and generate a supplemental in-rush current that supplements a current generated by the voltage supply in order to generate the load current.

Abstract: Embodiments described herein relate to systems and methods for automatically generating content, generating API requests and/or request bodies, structuring user-generated content, and/or generating structured content in collaboration platforms, such as documentation systems, issue tracking systems, project management platforms, and other platforms. The systems and methods described use a network architecture that includes a prompt generation service and a set of one or more purpose-configured large language model instances (LLMs) and/or other trained classifiers or natural language processors used to provide generative responses for content collaboration platforms.

Abstract: An electronic apparatus includes: at least one processor including processing circuitry, memory configured to store instructions, and a display, wherein the instructions, when executed by the at least one processor individually or collectively, cause the electronic apparatus to: obtain sensing data including at least one of microphone data and inertial sensor data, identify a touch input on the display based on the sensing data, identify a touch region corresponding to the touch input from among regions of the display, identify a target object corresponding to the touch input, from among a plurality of objects associated with the touch input based on the touch region, and perform an operation corresponding to the target object.

Abstract: Techniques for managing tasks and resources using a map-based GUI are disclosed. A system determines locations and available actions associated with the tasks. The system generates a map representing a geographic region and markers indicating the locations of the tasks within the region. In response to the selection of a marker corresponding to a particular task, the system presents an interactive tooltip corresponding to the available action. Responsive to the selection of the graphic element, the system calls an API that performs the action while concurrently presenting the map.

Abstract: This disclosure provides systems, methods, and devices for wireless communications that support downconversion of signals with improved harmonic rejection. In a first aspect, an apparatus includes a first plurality of mixers with each mixer coupled to two oscillating signals that are 180 degrees apart in phase; a second plurality of mixers with each mixer coupled to two oscillating signals that are 180 degrees apart in phase, wherein a combined load of the first plurality of mixers and the second plurality of mixers on the plurality of oscillating signals is symmetric as to each oscillating signal of the plurality of oscillating signals; and a shared capacitor coupling the RF input to the first plurality of mixers and the second plurality of mixers. Other aspects and features are also claimed and described.

Abstract: A thermal management device 100 for a battery pack 104 of an UAV comprises an insulating enclosure 102 that is made of a material comprising at least an EPP foam for enclosing the battery pack 104, and one or more heating coils 110. The heating coils 110 are electrically powered from an external power source 112 for pre-heating the insulating enclosure 102 to a predefined temperature before flight of the UAV. The EPP foam of the insulating enclosure 102 provides high thermal insulation for retaining the heat of the insulating enclosure 102 for heating the battery pack 104 and maintaining the temperature of the battery pack 104 above a threshold temperature when the UAV flies in a sub-zero ambient temperature. A case of the enclosure incorporates structural carbon tubes that engage with holes in a cap of the enclosure to strengthen the insulating enclosure.

Abstract: Techniques are provided for injecting dynamic instrumentation to software applications. A method includes a telemetry agent initiating an observability session with a software application and altering an import statement of the software application to generate one or more proxy objects. The method further includes the telemetry agent determining one or more instrumentations based on a configuration file for the observability session and instantiating the one or more instrumentations in the software application using the one or more proxy objects.

Abstract: A computing system includes a memory; and processing circuitry in communication with the memory. The processing circuitry is configured to: receive a paraphrase comprising a paraphrase text sample corresponding to an original text sample; and calculate a paraphrase metric value corresponding to the paraphrase, wherein the paraphrase metric value is calculated based on an adequacy score, a novelty score, and a fluency score of the paraphrase, the adequacy score indicating an extent to which the paraphrase text sample preserves a meaning of the original text sample, the novelty score indicating a level of difference between words and characters of the paraphrase text sample and words and characters of the original text sample, and the fluency score indicating an extent to which the paraphrase text sample is devoid of repetition, spelling, and grammatical mistakes.

Abstract: A computer-implemented method for browser extension authentication. A browser extension of a web browser on a mobile device requests an authentication key from a remote service. The browser extension receives the authentication key from the remote service. The browser extension provides the authentication key to a native mobile application on the mobile device. The native mobile application sends the remote service data to be mapped to the authentication key as mapped data. The browser extension requests the mapped data corresponding to the authentication key and receives the mapped data. The browser extension authenticates using the mapped data received from the remote service.

Abstract: A system may include a video encoder configured to receive and encode a video stream of content for display to a user of the virtual reality headset. The system may include a video buffer configured to store the encoded video stream for rendering and transmission. The system may include a WebSocket server coupled to the video buffer and configured to: establish and maintain independent, full-duplex, and wireless communication connections with a plurality of receiving client computing devices; and stream the encoded video stream stored in the video buffer concurrently to the plurality of receiving client computing devices via the communication connections.

Abstract: A method for capturing videos and/or images of a target area using a single camera configured with an aerial vehicle (AV) is disclosed including the steps of moving the AV over the area of interest along a straight path; capturing a first set of images of an area down below by pointing an optical axis of the camera towards a first side of the straight path such that the optical axis makes a first set of predefined angles with vertical; and capturing a second set of images of the area down below by pointing the optical axis of the camera towards a second side of the straight path such that the optical axis makes a second set of predefined angles with respect to the vertical. Side overlap between the first and second set of images is optimized to account for error in camera movement.

Abstract: Embodiments described herein relate to systems and methods for automatically generating content for a generative answer interface of a collaboration platform. The system receives a natural language user input identifying corresponding blocks of text or snippets using a content extraction service. A prompt is generated using the blocks of text and is used to obtain a generative response. The generative response and links to corresponding content are displayed in the generative answer interface and can be inserted into content of the collaboration platform. The systems and methods described use a network architecture that includes a prompt generation service and a set of one or more purpose-configured large language model instances (LLMs) and/or other trained classifiers or natural language processors used to provide generative responses for content collaboration platforms.

Abstract: A method to enable dynamic configuration management of a telemetry agent. The method includes operating a telemetry agent on a host device, receiving, by the telemetry agent, configuration information, and updating, based on the configuration information, operational characteristics of the telemetry agent without restarting the telemetry agent. The telemetry agent may be an Open Telemetry agent.

Abstract: This disclosure provides systems, methods, and devices for wireless communications that support downconversion of signals with improved harmonic rejection. In a first aspect, an apparatus includes a first plurality of mixers with each mixer coupled to two oscillating signals that are 180 degrees apart in phase; a second plurality of mixers with each mixer coupled to two oscillating signals that are 180 degrees apart in phase, wherein a combined load of the first plurality of mixers and the second plurality of mixers on the plurality of oscillating signals is symmetric as to each oscillating signal of the plurality of oscillating signals; and a shared capacitor coupling the RF input to the first plurality of mixers and the second plurality of mixers. Other aspects and features are also claimed and described.