Abstract: Methods of treating metabolic diseases and disorders using an antigen binding protein specific for the GIPR polypeptide are provided. In various embodiments the metabolic disease or disorder is type 2 diabetes, obesity, dyslipidemia, elevated glucose levels, elevated insulin levels and diabetic nephropathy. In certain embodiments the antigen binding protein is administered in combination with a GLP-1 receptor agonist.

Abstract: A system can receive a first set of data. The first set of data can include information indicating a first set of user sessions and for each of the first set of user sessions having an associated summary and a corresponding agent indicated intent. The system can also, based on the first set of data, determine a set of utterances and for each of the set of utterances a corresponding set of intents. Additionally, the system can receive a second set of data. The second set of data including information indicating a second set of user sessions and for each of the second set of user sessions having an associated determined utterance and corresponding interaction of a user. Moreover, the system can validate a corresponding intent of one or more utterances of the set of utterances, based on the second set of data.

Abstract: The system includes one or more processors and one or more non-transitory computer-readable storage devices storing instructions that, when executed, cause the one or more processors to perform receiving user utterances, and utilizing a trained natural language processing (NLP) algorithm as one or more layers in a neural network to generate from the one or more user utterances at least one first output of at least one first output layer of the neural network and at least one second output of at least one second output layer of the neural network. The instructions, when executed, also can cause the one or more processors to perform using the trained NLP algorithm to combine the at least one first output of the at least one first output layer of the neural network and the at least one second output of the at least one second output layer of the neural network to create a combined output of the neural network.

Abstract: Systems and methods conversational shopping based on machine learning using both text and image data are disclosed. In some embodiments, a disclosed method includes: obtaining, from a computing device, a search request identifying a reference image representing a first product and a textual query associated with the reference image; computing a text embedding in an embedding space based on the textual query; computing an image embedding in the embedding space based on the reference image; determining, based on at least one machine learning model, a target image representing a second product based on the text embedding and the image embedding; and transmitting, to the computing device, the target image in response to the search request.

Abstract: Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and cause the one or more processors to perform receiving one or more user utterances; re-training a pre-trained natural language processing (NLP) algorithm on the one or more user utterances; using the pre-trained NLP algorithm, as re-trained, as one or more layers in a neural network; combining at least one first output of at least one first output layer of the neural network with at least one second output of at least one second output layer of the neural network to create a final output of the neural network, wherein: the at least one first output layer of the neural network is different than the at least one second output layer of the neural network; and wherein the pre-trained NLP algorithm, as re-trained, is used to determine the final output of the neural network; and coordinating displaying a customized graphical user interf

Abstract: Methods of treating metabolic diseases and disorders using an antigen binding protein specific for the GIPR polypeptide are provided. In various embodiments the metabolic disease or disorder is type 2 diabetes, obesity, dyslipidemia, elevated glucose levels, elevated insulin levels and diabetic nephropathy. In certain embodiments the antigen binding protein is administered in combination with a GLP-1 receptor agonist.

Abstract: Provided is a method and system for generating 3D model from a 2D image of an object. The method and system selects a parameterized base 3D model based on a category of the object. The parameterized base 3D model is representative of one or more parameters corresponding to the object, wherein one or more properties of the parameterized base 3D model change based on changing values associated with the one or more parameters. The method and system predicts, using a machine learning (ML) network, values corresponding to the one or more parameters of the object in the 2D image. The method and system generates a 3D model corresponding to the 2D image based on the predicted values corresponding to the one or more parameters fed to the parameterized base 3D model.

Abstract: A method implemented via execution of computing instructions configured to run at one or more processors and stored at one or more non-transitory computer-readable media. The method can include receiving, via a computer network, an intent prediction request from a frontend system. The method further can include obtaining, from a database, one or more events in a lookback period associated with one or more items ordered by a user for the intent prediction request. The method also can include determining a time-based feature encoding for the one or more events for the user by: (a) determining a feature encoding for the one or more events; (b) determining a positional encoding for the one or more events; and (c) determining the time-based feature encoding based at least in part on the feature encoding, the positional encoding, and a decay function. The positional encoding can include one or more positional vectors associated with a temporal sequence of the one or more events.

Abstract: Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and cause the one or more processors to perform receiving one or more user utterances; re-training a pre-trained natural language processing (NLP) algorithm on the one or more user utterances; using the pre-trained NLP algorithm, as re-trained, as one or more layers in a neural network; combining at least one first output of at least one first output layer of the neural network with at least one second output of at least one second output layer of the neural network to create a final output of the neural network, wherein: the at least one first output layer of the neural network is different than the at least one second output layer of the neural network; and wherein the pre-trained NLP algorithm, as re-trained, is used to determine the final output of the neural network; and coordinating displaying a customized graphical user interf

Abstract: A system can receive a first set of data. The first set of data can include information indicating a first set of user sessions and for each of the first set of user sessions having an associated summary and a corresponding agent indicated intent. The system can also, based on the first set of data, determine a set of utterances and for each of the set of utterances a corresponding set of intents. Additionally, the system can receive a second set of data. The second set of data including information indicating a second set of user sessions and for each of the second set of user sessions having an associated determined utterance and corresponding interaction of a user. Moreover, the system can validate a corresponding intent of one or more utterances of the set of utterances, based on the second set of data.

Abstract: Methods of treating metabolic diseases and disorders using an antigen binding protein specific for the GIPR polypeptide are provided. In various embodiments the metabolic disease or disorder is type 2 diabetes, obesity, dyslipidemia, elevated glucose levels, elevated insulin levels and diabetic nephropathy. In certain embodiments the antigen binding protein is administered in combination with a GLP-1 receptor agonist.

Abstract: Methods of treating metabolic diseases and disorders using an antigen binding protein specific for the GIPR polypeptide are provided. In various embodiments the metabolic disease or disorder is type 2 diabetes, obesity, dyslipidemia, elevated glucose levels, elevated insulin levels and diabetic nephropathy. In certain embodiments the antigen binding protein is administered in combination with a GLP-1 receptor agonist.

Abstract: A locomotive engine control system includes one or more processors operably connected to fuel supply devices. The fuel supply devices are configured to supply fuel into different corresponding cylinders of an engine. The one or more processors are configured to monitor a fuel quantity injected into the cylinders of the engine before and after communication of an overfuel control signal. The overfuel control signal commands the fuel supply device corresponding to a first cylinder of the cylinders to supply excess fuel into the first cylinder. Responsive to the fuel quantity that is monitored not decreasing after the communication of the overfuel control signal, the one or more processors are configured to determine that the fuel supply device corresponding to the first cylinder is defective, and may generate one or more control signals indicative of the fuel supply device corresponding to the first cylinder being defective.

Abstract: A route examination system determines a characteristic of a vehicle system traveling over a segment of a route under inspection, a characteristic of the route, and/or a characteristic of movement of the vehicle system over the segment of the route. The system also detects acoustic sounds generated by movement of the vehicle system over the segment of the route. The system selects a baseline signature representative of acoustic sounds generated by movement of the vehicle system or another vehicle system over a healthy segment of the route, and determines that the segment of the route under inspection is damaged based on a comparison between the baseline signature and the acoustic sounds generated by the movement of the vehicle system over the segment of the route under inspection.

Abstract: A vehicle includes an engine and alternator having a field coil and a plurality of output windings, a field current controller configured to receive an AC input and convert the AC input into a regulated DC output that is supplied to the field coil of the alternator, and a controller configured to monitor at least one operating parameter of the field current controller and to compare a monitored value of the at least one operating parameter to a threshold range.

Abstract: Methods of treating metabolic diseases and disorders using an antigen binding protein specific for the GIPR polypeptide are provided. In various embodiments the metabolic disease or disorder is type 2 diabetes, obesity, dyslipidemia, elevated glucose levels, elevated insulin levels and diabetic nephropathy. In certain embodiments the antigen binding protein is administered in combination with a GLP-1 receptor agonist.

Abstract: A locomotive engine control system includes one or more processors operably connected to fuel supply devices. The fuel supply devices are configured to supply fuel into different corresponding cylinders of an engine. The one or more processors are configured to monitor a fuel quantity injected into the cylinders of the engine before and after communication of an overfuel control signal. The overfuel control signal commands the fuel supply device corresponding to a first cylinder of the cylinders to supply excess fuel into the first cylinder. Responsive to the fuel quantity that is monitored not decreasing after the communication of the overfuel control signal, the one or more processors are configured to determine that the fuel supply device corresponding to the first cylinder is defective, and may generate one or more control signals indicative of the fuel supply device corresponding to the first cylinder being defective.

Abstract: Methods of treating metabolic diseases and disorders using an antigen binding protein specific for the GIPR polypeptide are provided. In various embodiments the metabolic disease or disorder is type 2 diabetes, obesity, dyslipidemia, elevated glucose levels, elevated insulin levels and diabetic nephropathy. In certain embodiments the antigen binding protein is administered in combination with a GLP-1 receptor agonist.

Abstract: A vehicle includes an engine and alternator having a field coil and a plurality of output windings, a field current controller configured to receive an AC input and convert the AC input into a regulated DC output that is supplied to the field coil of the alternator, and a controller configured to monitor at least one operating parameter of the field current controller and to compare a monitored value of the at least one operating parameter to a threshold range.

Abstract: A route examination system determines a characteristic of a vehicle system traveling over a segment of a route under inspection, a characteristic of the route, and/or a characteristic of movement of the vehicle system over the segment of the route. The system also detects acoustic sounds generated by movement of the vehicle system over the segment of the route. The system selects a baseline signature representative of acoustic sounds generated by movement of the vehicle system or another vehicle system over a healthy segment of the route, and determines that the segment of the route under inspection is damaged based on a comparison between the baseline signature and the acoustic sounds generated by the movement of the vehicle system over the segment of the route under inspection.