Abstract: The present invention is an advanced software platform that masterfully integrates natural language processing (NLP) and machine learning (ML) to achieve superior accuracy in automatically identifying discrepancies in financial documents. Utilizing NLP, the software meticulously analyzes the language within financial texts while ML algorithms enhance its ability to detect anomalies and errors that might be missed during manual checks. This system caters to financial entities, auditors, and companies, significantly improving review processes and guarding against the risks of human oversight. Consequently, it assures the reliability of financial records, bolstering trust in organizations' financial reports, and ensuring adherence to regulatory norms. This breakthrough epitomizes the synergy of financial expertise and cutting-edge technology, redefining standards in financial data verification.

Abstract: A method, apparatus and computer program product are provided for surveillance of road environments via deep learning. In this regard, one or more features for vehicle sensor data associated with one or more vehicles traveling along a road segment proximate to a vehicle are determined. The vehicle includes one or more sensors that captures the vehicle sensor data. Furthermore, vehicle behavior data associated with the one or more vehicles is predicted using a machine learning model that receives the one or more features. The machine learning model is trained for detection of vehicle behavior based on historical vehicle sensor data and one or more rules associated with the road segment. The vehicle behavior data is also encoded in a database to facilitate modeling of vehicle behavior associated with the road segment.

Abstract: A method to provide flexible access to an internal data of an regulated system, the method comprising receiving, by a data access component of the regulated system, a loadable configuration file defining a set of triggering events and a set of memory, determining the occurrence of a single triggering event, accessing at least a subset of memory that contain the internal data of the avionics system to retrieve data associated with the one or more memory of the set of memory, and outputting the retrieved data to a receiving component.

Abstract: The present invention relates to dispersants comprising a polyester derived from a plurality of poly(carbonylalkyleneoxy) chains (and optionally a fatty acid) and an amine, wherein said dispersants have an acid value of less than 15 mgKOH/g. The dispersants as described herein provide desirable viscosity profiles when in use. More especially some embodiments provide improved compatibility with certain solvents in dispersions, and/or are particularly suitable for use in battery systems.

Abstract: Generally disclosed herein is a mechanism to manage the thermal control of servers equipped in a data center based on the measurements of the power consumption of each server and each thermally critical component in the server system. A controller may monitor the power consumption of one or more components or one or more servers and trigger responsive cooling action by one or more cooling fans based on changes in the power consumption. In this regard, the cooling fans are proactively activated prior to temperatures reaching high levels, thereby efficiently maintaining safe operating temperatures in the data center for the computing devices and/or for occupational safety.

Abstract: Rocky Mountain Spotted Fever (RMSF) is a vector borne disease that is caused by Rickettsia rickettsii infection. It is challenging to identify the disease in dogs and other mammals due to the cross-reacting antibodies from non-pathogenic Rickettsia spp. Provided herein are compositions and methods for detection and treatment of Rocky Mountain spotted fever (“RMSF”). The compositions specifically detect Rickettsia rickettsii and do not cross-react with other Rickettsia species providing rapid and accurate detection and diagnosis of RMSF.

Abstract: A brake assembly slide clip includes a base section. A clamping portion extends from the base section and includes a base clamping section, an inner axial holding tab and an outer axial holding tab which extend from opposed sides of from the base clamping section. A lower section extends from the base section. A tangential section extends from a second side of the lower section. An active retraction element extends from the tangential section and provides a surface against which the brake pad is disposed. The active retraction element includes a plurality of curved portions each being curved in a single direction. The active retraction element is movable in a first axial direction responsive to a brake pad force against the retraction element surface, and resiliently returns following removal of the force so as to move the brake pad in a second axial direction opposite the first axial direction.

Abstract: A method described herein involves various operations directed toward network security. The operations include accessing transaction data describing network traffic associated with a web server during an interval. Based on a count of new transactions involving an online entity during the interval according to the transaction data, a short-term trend is determined for the online entity. The operations further include applying exponential smoothing to a history of transactions of the online entity to compute a long-term trend for the online entity. Based on a comparison between the short-term trend and the long-term trend for the online entity, an anomaly is detected with respect to the online entity in the network traffic associated with the web server. Responsive to detecting the anomaly, an access control is implemented between the online entity and the web server.

Abstract: Implementations of a head and neck cradle comprise an upper platform, a middle platform (or middle portion), and a lower platform. In some implementations, a method of using the head and neck cradle comprises placing the lower platform under a hospital bed mattress such that the upper platform rests adjacent to the end of the mattress and extends away from the hospital bed, and may further comprise placing a patient in a prone position on the hospital bed mattress with the patient's head placed on the upper platform.

Abstract: Systems and methods for producing nitrates, nitric acid, salts thereof, or a mixture thereof are disclosed. The systems may include a feed conduit configured for receiving a feed stream comprising molecular oxygen and molecular nitrogen; an inlet conduit configured for receiving an inlet stream; a plasma reactor fluidically coupled to the inlet conduit, the plasma reactor fluidically coupled to a reactor-outlet conduit configured for receiving the reactor-outlet stream, the plasma reactor configured to produce oxidized nitrogen species; and an absorber fluidically coupled to the reactor-outlet conduit, the absorber configured to receive the reactor outlet stream and to produce nitrates, nitrites, nitric acid, salts thereof, or a mixture thereof from the reactor outlet stream. A recycle conduit may be fluidically coupled to the absorber and the inlet conduit, wherein the recycle conduit is configured to receive the gas-phase stream from the absorber and provide the gas-phase stream to the inlet conduit.

Abstract: This application describes, amongst other things, methods and systems for building and deploying agents. An example method includes obtaining orchestration data about a set of task-specific components selected to provide a response to the prompt, where each respective task-specific components in the set of task-specific components is configured to assist with a respective clinical task of the one or more clinical tasks. The method further includes, determining an order in which each respective task-specific components of the set of task-specific components should be utilized to prepare a complete response to the prompt that address the one or more clinical tasks based on the obtained orchestration data about the set of task-specific components. The method also includes, in accordance with the determined order, providing first data related to the prompt to a first task-specific component and receiving a first response from the first task-specific component.

Abstract: This application describes, among other things, systems and methods for deploying a task-specific machine-learning model. An example method includes receiving a prompt associated with one or more commands and a plurality of tokens. A first task-specific machine-learning model is identified based on a first command of the one or more commands. Some or all of the tokens of the plurality of tokens are applied to a node associated with the first task-specific machine-learning model, and a plurality of restricted data is received. Based on evaluating the plurality of restricted data, a correlation between the first node and a second node is determined. If the correlation satisfies a threshold condition, a plurality of text data different than the prompt is generated, otherwise the some or all of the tokens are again provided to the first node. Some or all of the tokens are then traversed and applied to the second node.

Abstract: This application describes, among other things, systems and methods for configuring a task-specific machine-learning model. An example method includes, based on a request to modify a machine-learning model for performing a clinical task, retrieving a corresponding node architecture defining conditional logic for performing the clinical task. The conditional logic is executed based on a first order, including an input node, an output node, and an intermediate node, of a first set of interconnected nodes including a data source node, a machine-learning model node, and a conditional logic node. A representation is generated including a first feature for configuring conditional logic of the node architecture and a second feature for configuring a parameter of a node in the first set of interconnected nodes. A selection of the first or second feature defines a second order of a second set of interconnected nodes, causing the node architecture's conditional logic to be updated.

Abstract: A computer-implemented method for obtaining actionable application feedback includes executing an application on remote computing systems and, during execution of the application on each computing system: surfacing a UI including a survey UI element on the display of the computing system; surfacing a first survey prompt via the survey UI element; receiving user input including a response to the first survey prompt, inputting the user input to an LLM; generating, via the LLM, a second survey prompt based on the provided user input; surfacing the second survey prompt via the survey UI element; receiving user input including a verbatim response to the second survey prompt; and generating, via the LLM, topic tag(s) corresponding to the verbatim response. The method includes aggregating the verbatim responses received via the computing systems according to the corresponding topic tag(s), as well as generating, via the LLM, application insights based on the aggregated verbatim responses.

Abstract: This application describes, among other things, machine-learning models for performing specific clinical tasks. An example method includes receiving a prompt at a first computing system in communication with a machine-learning model trained to assist in performing a clinic task that includes generating a report of a patient's medical records, guiding a patient through a care plan, creating patient care guidelines based on a patient's health profile, identifying patients requiring follow-up at a hospital, identifying changes in a standard of care for a disease setting, or evaluating unstructured data associated with a patient to identify a cohort of similar patients. Based on the prompt, a natural language response is generated that is responsive to the prompt and is based on an analysis by the machine-learning model of a repository of data that is determined to be relevant to the prompt. And the natural language response is provided to second computing system.

Abstract: This application describes, among other things, systems and methods for interacting with a task-specific orchestration. An example method includes obtaining medical data from one or more data collections. A set of user interface elements is presented at a user interface, where each respective user interface element of the set of user interface elements represents a respective task-specific orchestration that includes one or more respective machine-learning models fine-tuned for a specific task or domain based on the medical data. When a user interface element representing a respective task-specific orchestration is selected, at least some of the medical data is provided to the respective task-specific orchestration, and a different user interface is presented for communicating with the respective task-specific orchestration. Based on receiving a prompt at the different user interface, a response object is generated by the task-specific orchestration based on the prompt and at least some of the medical data.

Abstract: This application describes, among other things, methods of selecting a task-specific machine-learning model for addressing a clinical task. An example method includes receiving a prompt from a user. Based on determining that the prompt requests assistance with a clinical task, a machine-learning model trained to select from among a plurality of task-specific machine-learning models each trained to assist with one of a plurality of clinical tasks selects a respective task-specific machine-learning model from among the plurality of task-specific machine-learning models based on the prompt. The prompt is provided to the selected task-specific machine-learning model. And a response received from the selected task-specific machine-learning model is provided to the user.

Abstract: This application describes, among other things, methods of generating task-specific agent modules based on user requests. An example method includes receiving a request from a user for performance of a specific task. In response to the request, an agent module to perform the specific task is generated. The generating includes selecting a set of agent building blocks from a plurality of available agent building blocks, where each agent building block in the plurality of available agent building blocks has a respective assigned function, and connecting the set of agent building blocks to form the agent module. The agent module is caused to be executed, and information from the request is provided to the agent module. Based on providing information from the request to the agent module, a response for performing the specific task is received and provided to the user.

Abstract: Vehicles and systems and methods for providing rearview displays for vehicles are provided. An exemplary system is provided for a vehicle having a gate moveable between closed configuration and opened configurations. The system includes a camera mounted to the gate and configured to collect dynamic pixel images of an area behind the vehicle; a display screen configured to display the collected dynamic pixel images; and memory configured to include executable instructions and a processor configured to execute executable instructions that enable the processor to crop the collected dynamic pixel images to display a lower portion of the collected dynamic pixel images on the display screen when the gate is in the closed configuration, and to crop the collected dynamic pixel images to display an upper portion of the collected dynamic pixel images on the display screen when the gate is in the opened configuration.

Abstract: Described herein are systems, devices, and methods for removing material from patient vasculature. In some embodiments, an aspiration device may include a sheath and a catheter slidably disposed within the sheath and defining a lumen. The catheter may include a distal end portion and an elongate portion, the distal end portion being disposable adjacent to a clot, the elongate portion being couplable to a vacuum source that is configured to apply a negative pressure to the lumen to draw the clot into the distal end portion. The distal end portion may include a plurality of sections, each of the plurality of sections having a different cut pattern.