Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for enabling artificial intelligence to display responses in a conversational user interface that are tailored to a user of the interface, to predicted future states, and/or to predicted trajectories that include transitions between multiple states. In one aspect, a method includes initiating a user session with a conversational user interface of an artificial intelligence system that displays, within the conversational user interface, responses to user interactions received during the user session, the responses being generated using one or more machine learning models of the artificial intelligence system. During the user session, the system receives data indicating one or more user interactions within the conversational user interface by a user. The system updates a state record that represents a first state. The system processes the state record to determine potential trajectories for the user session.

Abstract: A computing server may continuously update a set of nodes that are addable to a data tree based on past interactions of the user with one or more nodes. The computing server may track a recently interacted set of interacted nodes with which the user has interacted within a number of past interactions. The computing server may select a pool of candidate nodes based on the recently interacted set. At least one of the candidate nodes is within a domain boundary of one of the interacted nodes that is in the recently interacted set. The domain boundary may be determined by the degree of relationship. The computing server may present one or more candidate nodes in the pool as a version of the continuously updated set of nodes. The computing server may update the pool of candidate nodes as additional interactions performed by the user updates the recently interacted set.

Abstract: The present disclosure is directed toward systems, methods, and non-transitory computer-readable media for generating and providing recommended genealogical content items using a selection-prediction neural network. For example, the disclosed systems utilize a transformer-based selection-prediction neural network to generate selection predictions for genealogical content items according to previous client device interactions as well as genealogical metrics, including content-based genealogical metrics, tree-level genealogical metrics, and/or account-level genealogical metrics. In some cases, the disclosed systems train a selection-prediction neural network by learning network parameters based on features extracted from content items, client device behavior, genealogy trees, and user accounts.

Abstract: This application discloses techniques of playing videos. The techniques comprise caching a video resource of a target onto a plurality of content delivery network (CDN) nodes; establishing a long link with each of a plurality of client computing devices in response to detecting that the plurality of client computing devices access a playback page of the target video; simultaneously sending, via the established long links, signals indicative of a start state of the target video to all of the plurality of client computing devices, wherein each of the plurality of client computing devices simultaneously plays the video resource while separately obtaining the video resource from a corresponding CDN node; simultaneously sending, via the established long links, signals indicative of an end state of the target video to all of the plurality of client computing devices that access the playback page.

Abstract: A system or method for recommending one or more entry collections based on a query or a data entry. The method includes obtaining a query requesting information from a plurality of entry collections, extracting features from the query, and determining one or more entry collections among the plurality of entry collections that are likely to contain information related to the query based in part on the extracted features. The method further includes generating one or more links linking to the one or more entry collections, and causing the one or more links to be displayed to a user at a client device.

Abstract: Selected artifacts, which may be based on distortions or selected attenuation features, may be reduced or removed from a reconstructed image. Various artifacts may occur due to the presence of a metal object in a field of view. The metal object may be identified and removed from a data that is used to generate a reconstruction.

Abstract: Selected artifacts, which may be based on distortions or selected attenuation features, may be reduced or removed from a reconstructed image. Various artifacts may occur due to the presence of a metal object in a field of view. The metal object may be identified and removed from a data that is used to generate a reconstruction.

Abstract: A method and system is disclosed for analyzing image data of a subject. The image data can be collected with an imaging system in a selected manner and/or motion. The image data may include selected overlap and be acquired with an imaging system that generates a plurality of perspectives for more than one location. An automatic system and method may then define or identify various features and/or allow for registration for alternative image data.

Abstract: A method and system is disclosed for analyzing image data of a subject. The image data can be collected with an imaging system in a selected manner and/or motion. The image data may include selected overlap and be acquired with an imaging system that generates a plurality of perspectives for more than one location. An automatic system and method may then define or identify various features and/or allow for registration for alternative image data.

Abstract: A method and system is disclosed for analyzing image data of a subject. The image data can be collected with an imaging system in a selected manner and/or motion. The image data may include selected overlap and be acquired with an imaging system that generates a plurality of perspectives for more than one location. An automatic system and method may then define or identify various features and/or allow for registration for alternative image data.

Abstract: A method and system is disclosed for analyzing image data of a subject. The image data can be collected with an imaging system in a selected manner and/or motion. The image data may include selected overlap and be acquired with an imaging system that generates a plurality of perspectives for more than one location. An automatic system and method may then define or identify various features and/or allow for registration for alternative image data.

Abstract: A fuel cell vehicle thermal management system with cold start function includes a fuel cell stack, electronic water pump, electronic thermostat, cold start heater and first solenoid valve, all connected to a thermal management controller, and air intake preheating heat exchangers. The coolant outlet of the fuel cell stack is connected with an inlet of the electronic water pump, and an outlet of the electronic water pump is connected with the inlets of the electronic thermostat and the first solenoid valve. The first outlet of the electronic thermostat is connected with the inlet of the heater. The outlet of the heater is connected with the inlet of the fuel cell stack. The outlet of the first solenoid valve is connected with the inlet of the intake preheating heat exchanger. The outlet of the intake preheating heat exchanger is connected with the inlet of the heater.

Abstract: A computing server may continuously update a set of nodes that are addable to a data tree based on past interactions of the user with one or more nodes. The computing server may track a recently interacted set of interacted nodes with which the user has interacted within a number of past interactions. The computing server may select a pool of candidate nodes based on the recently interacted set. At least one of the candidate nodes is within a domain boundary of one of the interacted nodes that is in the recently interacted set. The domain boundary may be determined by the degree of relationship. The computing server may present one or more candidate nodes in the pool as a version of the continuously updated set of nodes. The computing server may update the pool of candidate nodes as additional interactions performed by the user updates the recently interacted set.

Abstract: A fuel cell vehicle thermal management system with cold start function, which includes a fuel cell stack, an electronic water pump, an electronic thermostat, a cold start heater, a first solenoid valve, a thermal management controller, and the air intake preheating heat exchangers. The electronic water pump, electronic thermostat, cold start heater, and the first solenoid valve are all electrically connected to the thermal management controller. The coolant outlet of the fuel cell stack is connected with the liquid inlet of the electronic water pump, and the liquid outlet of the electronic water pump is connected with the liquid inlet of the electronic thermostat and the liquid inlet of the first solenoid valve. The first liquid outlet of the electronic thermostat is connected with the liquid inlet of the cold start heater. The liquid outlet of the cold start heater is connected with the liquid inlet of the fuel cell stack.

Abstract: Selected artifacts, which may be based on distortions or selected attenuation features, may be reduced or removed from a reconstructed image. Various artifacts may occur due to the presence of a metal object in a field of view. The metal object may be identified and removed from a data that is used to generate a reconstruction.

Abstract: Selected artifacts, which may be based on distortions or selected attenuation features, may be reduced or removed from a reconstructed image. Various artifacts may occur due to the presence of a metal object in a field of view. The metal object may be identified and removed from a data that is used to generate a reconstruction.

Abstract: A predictive-control approach allows an electricity provider to monitor and proactively manage peak and off-peak residential intra-day electricity usage in an emerging smart energy grid using time-dependent dynamic pricing incentives. The daily load is modeled as time-shifted, but cost-differentiated and substitutable, copies of the continuously-consumed electricity resource, and a consumer-choice prediction model is constructed to forecast the corresponding intra-day shares of total daily load according to this model. This is embedded within an optimization framework for managing the daily electricity usage. A series of transformations are employed, including the reformulation-linearization technique (RLT) to obtain a Mixed-Integer Programming (MIP) model representation of the resulting nonlinear optimization problem. In addition, various regulatory and pricing constraints are incorporated in conjunction with the specified profit and capacity utilization objectives.

Abstract: Systems and methods for modeling and forecasting cyclical demand systems in the presence of dynamic control or dynamic incentives. A method for modeling a cyclical demand system comprises obtaining historical data on one or more demand measurements over a plurality of demand cycles, obtaining historical data on incentive signals over the plurality of demand cycles, constructing a model using the obtained historical data on the one or more demand measurements and the incentive signals, wherein constructing the model comprises specifying a state-space model, specifying variance parameters in the model, and estimating unknown variance parameters.

Abstract: Selected artifacts, which may be based on distortions or selected attenuation features, may be reduced or removed from a reconstructed image. Various artifacts may occur due to the presence of a metal object in a field of view. The metal object may be identified and removed from a data that is used to generate a reconstruction.