Abstract: Methods, systems, and computer-readable media for lifecycle management for customized natural language processing are disclosed. A natural language processing (NLP) customization service determines a task definition associated with an NLP model based (at least in part) on user input. The task definition comprises an indication of one or more tasks to be implemented using the NLP model and one or more requirements associated with use of the NLP model. The service determines the NLP model based (at least in part) on the task definition. The service trains the NLP model. The NLP model is used to perform inference for a plurality of input documents. The inference outputs a plurality of predictions based (at least in part) on the input documents. Inference data is collected based (at least in part) on the inference. The service generates a retrained NLP model based (at least in part) on the inference data.

Abstract: A computer-implemented method for generating a graph database includes generating a prompt for input to a large language model (LLM) based on user input and stored metadata. The LLM is used to extract graph metadata from the prompt, generate a knowledge graph based on the graph metadata and additional sources of data, and further generate a graph data model including both structured and unstructured data using the knowledge graph. A graph platform is used to generating a graph using the graph data model.

Abstract: An apparatus and method for pressurizing and supplying a gaseous fuel to an engine includes a first supply and a second supply of the gaseous fuel stored as a compressed gas. A pressure regulator regulates a pressure of the gaseous fuel fluidly received from the first supply or the second supply, a compressor pressurizes the gaseous fuel fluidly received from the first supply or the second supply, and an accumulator fluidly receives gaseous fuel from the compressor and the pressure regulator. A supply-select valve apparatus is in fluid communication with the first supply and the second supply and is actuatable to fluidly connect the first supply with the compressor or the pressure regulator, and to fluidly connect the second supply with the compressor or the pressure regulator.

Abstract: Techniques are directed to generating a 3D image of an object in a scene from a 2D image of the object in the scene that involves generating a reprojected image having a mask defined by a representation of the object. The mask may include a set of pixels and, in some implementations, the set of pixels coincides with an edge of the representation of the object. The inpainting is performed using a model that is trained to fill in gaps within such masks and as such the inpainting does not require the 2D image be separated into background and foreground layers.

Abstract: An apparatus and method for pressurizing and supplying a gaseous fuel to an engine includes a first supply and a second supply of the gaseous fuel stored as a compressed gas. A pressure regulator regulates a pressure of the gaseous fuel fluidly received from the first supply or the second supply, a compressor pressurizes the gaseous fuel fluidly received from the first supply or the second supply, and an accumulator fluidly receives gaseous fuel from the compressor and the pressure regulator. A supply-select valve apparatus is in fluid communication with the first supply and the second supply and is actuatable to fluidly connect the first supply with the compressor or the pressure regulator, and to fluidly connect the second supply with the compressor or the pressure regulator.

Abstract: An apparatus includes a pressure regulator, an in-cylinder fuel injector and a controller programmed to, when fueling with a first gaseous fuel, command the regulator to regulate the pressure of the first gaseous fuel to a first injection pressure; and command the injector to inject within 90 CA° of TDC during a compression stroke an injected quantity of a first gaseous fuel into the combustion chamber at the first injection pressure, and when fueling with a second gaseous fuel, to command the regulator to regulate the pressure of the second gaseous fuel to a second injection pressure; and command the injector to inject within 90 CA° of TDC during the compression stroke an injected quantity of a second injected gaseous fuel.

Abstract: An apparatus and method for injection of a pilot fuel into an internal combustion engine includes a variety of steady state, transient and other techniques to reduce an injection quantity of the pilot fuel and/or a carbon content of the pilot fuel.

Abstract: A circuit arrangement includes a preprocessing circuit configured to obtain context information related to a user location, a learning circuit configured to determine a predicted user movement based on context information related to a user location to obtain a predicted route and to determine predicted radio conditions along the predicted route, and a decision circuit configured to, based on the predicted radio conditions, identify one or more first areas expected to have a first type of radio conditions and one or more second areas expected to have a second type of radio conditions different from the first type of radio conditions and to control radio activity while traveling on the predicted route according to the one or more first areas and the one or more second areas.

Abstract: A system for video anomaly detection is configured to extract, from a set of input frames of the input video, input appearance features indicative of the appearance of the object in a frame, input size features indicative of the size of the object in the scene, input location features indicative of the location of the object in the scene, and input trajectory features indicative of a trajectory of the object tracked in a set of frames of the input video. The system combines the input appearance features, the input size features, the input location features, and the input trajectory features to produce an input feature vector and compares the input feature vector with each of the exemplars extracted from the normal video to determine the smallest distance from the input feature vector to its closest exemplar. The system declares the anomaly when the smallest distance is greater than a threshold.

Abstract: Systems and methods for translating natural language to SQL on a custom enterprise data warehouse powered by Generative AI. With an embodiment of the present invention, a natural language question may be converted to a meaningful and accurate database query, e.g., SQL query, relevant to tables existing in an enterprise data warehouse. An embodiment of the present invention is directed to a comprehensive approach of transforming a natural language query to a focused SQL query using domain specific data models across firmwide metadata systems and data systems. In response to a user query, an embodiment of the present invention performs metadata analysis, targeted data retrieval and then SQL generation. An embodiment of the present invention may apply data warehousing standards and guidelines followed in the enterprise and provide a plug-and-play type architecture and solution that is scalable to large warehousing and other systems.

Abstract: An apparatus includes a pressure regulator, an in-cylinder fuel injector and a controller programmed to, when fueling with a first gaseous fuel, command the regulator to regulate the pressure of the first gaseous fuel to a first injection pressure; and command the injector to inject within 90 CA° of TDC during a compression stroke an injected quantity of a first gaseous fuel into the combustion chamber at the first injection pressure, and when fueling with a second gaseous fuel, to command the regulator to regulate the pressure of the second gaseous fuel to a second injection pressure; and command the injector to inject within 90 CA° of TDC during the compression stroke an injected quantity of a second injected gaseous fuel.

Abstract: Techniques described herein relate to methods and systems for thermal management of a thermal environment. The method may include using thermal data items from computing devices and time series analysis to predict future thermal values for the thermal data items; performing a clustering analysis using the predicted future thermal values to assign cluster labels to the computing devices; using the cluster labels and the predicted future thermal values to assign predicted thermal status labels to the computing devices; assigning a confidence value to the predicted thermal status labels and ranking the computing devices based on the confidence values; performing an analysis to determine a thermal data item contributing to the assigned thermal status; and sending the results to a thermal environment administrator.

Abstract: A method of providing recommendations for matching leads to financial advisors using a machine learning model comprises training the model using attributes of the leads and advisors to determine lead/advisor matches and to output a recommendation list of lead/advisor matched pairs, serializing the model, providing access to the serialized model to a user device via an API, deserializing the model, receiving advisor preferences from the user in natural text form, converting the natural text received from the user into a form adapted to be used as input to the model, executing the deserialized model using the received preferences to determine advisor recommendations for the user, filtering the advisor recommendations using rules which disallow certain lead/advisor pairings, outputting filtered recommendations at the end user device, and transmitting a selection from the filtered recommendations from the user for further training of the model with respect to the particular end user.

Abstract: A method of providing recommendations for matching leads to financial advisors using a machine learning model comprises training the model using attributes of the leads and advisors to determine lead/advisor matches and to output a recommendation list of lead/advisor matched pairs, serializing the model, providing access to the serialized model to a user device via an API, deserializing the model, receiving advisor preferences from the user in natural text form, converting the natural text received from the user into a form adapted to be used as input to the model, executing the deserialized model using the received preferences to determine advisor recommendations for the user, filtering the advisor recommendations using rules which disallow certain lead/advisor pairings, outputting filtered recommendations at the end user device, and transmitting a selection from the filtered recommendations from the user for further training of the model with respect to the particular end user.

Abstract: An apparatus and method for pressurizing and supplying a gaseous fuel to an engine includes a first supply and a second supply of the gaseous fuel stored as a compressed gas. A pressure regulator regulates a pressure of the gaseous fuel fluidly received from the first supply or the second supply, a compressor pressurizes the gaseous fuel fluidly received from the first supply or the second supply, and an accumulator fluidly receives gaseous fuel from the compressor and the pressure regulator. A supply-select valve apparatus is in fluid communication with the first supply and the second supply and is actuatable to fluidly connect the first supply with the compressor or the pressure regulator, and to fluidly connect the second supply with the compressor or the pressure regulator.

Abstract: A circuit arrangement includes a preprocessing circuit configured to obtain context information related to a user location, a learning circuit configured to determine a predicted user movement based on context information related to a user location to obtain a predicted route and to determine predicted radio conditions along the predicted route, and a decision circuit configured to, based on the predicted radio conditions, identify one or more first areas expected to have a first type of radio conditions and one or more second areas expected to have a second type of radio conditions different from the first type of radio conditions and to control radio activity while traveling on the predicted route according to the one or more first areas and the one or more second areas.

Abstract: An apparatus and method for injection of a pilot fuel into an internal combustion engine includes a variety of steady state, transient and other techniques to reduce an injection quantity of the pilot fuel and/or a carbon content of the pilot fuel.

Abstract: A dispenser pump has a plunger operable in a body including an outer cylinder body having a vent opening in its sidewall and a body insert fitting into the top of the outer body and providing an external collar through which the plunger stem operates. The body insert has lock-down threads to lock down the plunger for shipping. The insert also has formations for blocking or unblocking the vent opening by rotation between the outer body and body insert, driven by rotation of the plunger head which makes a catch engagement with the top of the body insert. This plunger head rotation is the locking or unlocking action for the plunger lock-down. Blocking the vent during shipping reduces leakage.

Abstract: A computer-implemented method for providing recommendations for matching leads to advisors using a machine learning model.

Abstract: Embodiments of the present disclosure disclose a method and a system for video anomaly detection. The system is configured to collect a sequence of input video frames of an input video of a scene. In addition, the system is configured to partition each input video frame of the sequence of input video frames into a plurality of input video patches. Further, the system is configured to process each of the plurality of input video patches with one or more classifiers. Each of the one or more classifiers corresponds to a deep neural network trained to estimate one or more attributes of the plurality of input video patches from an output of a penultimate layer of the deep neural network. Furthermore, the system is configured to compare the output of the penultimate layer. The system is further configured to detect an anomaly based on the output of the penultimate layer.