Abstract: A method includes displaying a first virtual tribe in a virtual scene, the first virtual tribe is a virtual tribe with one or more first virtual objects of a first identity type in the virtual scene. The method includes displaying social interaction options for an acquisition of one or more skills across different virtual tribe. The social interaction options include identification information of a second virtual tribe, and candidate skill options for a second set of skills associated with the second virtual. The method further includes receiving a selection operation on a first skill option among the candidate skill options. The first skill option corresponds to a first skill in the second set of skills associated with the second virtual tribe. The selection operation on the first skill option indicates a triggering of an acquisition of the first skill corresponding to the first skill option.

Abstract: Disclosed in the present invention are a thiophene ring compound, a preparation method therefor and an application thereof. The structure of the thiophene ring compound of the present invention is as shown in formula I. The compound of the present invention has good affinity and agonistic activity against at least one of a dopamine receptor and a 5-hydroxytryptamine receptor.

Abstract: In a control method for a virtual object, a target control is displayed in a display interface of a first virtual scene. The first virtual scene corresponds to a first perspective of a target virtual object. An operation prompt based on the first perspective on the target control is displayed based on a touch operation. The operation prompt is configured to display a casting action range of a target virtual item. Casting preview information of the target virtual item is displayed in the first virtual scene when the touch operation stops at a first stop position in the operation prompt. The first virtual scene displayed in the display interface is adjusted to a second virtual scene. The second virtual scene corresponds to a second perspective of the target virtual object.

Abstract: In an interaction processing method a virtual scene in an interaction interface is displayed. The virtual scene includes multiple groups, and each of the groups includes at least one virtual object. Based on an advance control operation on a first group, the first group advancing in the virtual scene is displayed. A first prompt information of a first region is displayed based on the first group advancing to a first location and a distance between the first location and the first region in the virtual scene being less than a distance threshold. The first prompt information indicates that a first interaction event between the multiple groups has occurred in the first region.

Abstract: An AC-DC power converter has a power factor correction stage that receives grid power and produces DC bus power. A DC-DC converter stage receives the DC bus power and produces a DC output power. Energy storage is provided by a larger capacitance value first capacitor and a smaller capacitance value second capacitor coupled in series across the DC bus power with a switching device coupled in parallel with the smaller second capacitor. During converter start-up, the switching device is turned off and inrush current is controlled by transferring energy from the second capacitor to the first capacitor. During operation the switching device is turned on and the first capacitor provides energy storage for the DC bus power. When grid power is disconnected, hold-up time is extended by turning the switching device off and transferring energy from the first capacitor to the second capacitor.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for controlling agents. In particular, an agent can be controlled using an action selection neural network that performs in-context reinforcement learning when controlling an agent on a new task.

Abstract: A direct power AC/DC conversion apparatus employs a dual branch topology. A first branch includes a first AHB switching network configured to receive an AC grid power and produce an AC power, coupled through a series resonant impedance to a first primary winding of a transformer. The first switching network includes two bi-directional switches coupled in series where each bi-directional switch includes two switching devices coupled in series in opposite polarity. A secondary winding of the transformer is coupled through an SR switching device to an output DC power. A second branch includes a diode bridge, configured to receive the AC grid power and produce a DC power, coupled to a second AHB switching network. The second AHB switching network is coupled through a second series resonant impedance to a second primary winding of the transformer. Each of the first and second branches are operated alternately and independently.

Abstract: A resonant AC/DC converter. An input end of a half bridge rectifier circuit is connected to an alternating current power supply. A clamping surge protection circuit is connected to the half bridge rectifier circuit in parallel, and is connected to a resonant capacitor in a resonant DC/DC conversion circuit in parallel. When a voltage of the alternating current power supply is greater than a voltage of a bus capacitor, the clamping surge protection circuit is configured to prevent a surge signal entering the resonant DC/DC conversion circuit. When the voltage of the alternating current power supply is less than or equal to a voltage of a direct current bus, a voltage of the resonant capacitor is clamped. The resonant DC/DC conversion circuit performs electric energy conversion on the pulsating direct current that is output by the half bridge rectifier circuit, and then performs output.

Abstract: The present disclosure relates to a DC-to-DC converter. The DC-to-DC converter includes a first port coupled to a first full bridge and a transformer coupled to the first full bridge and to a second full bridge. The DC-to-DC converter further includes a second port coupled to the second full bridge; a first inductor coupled between the second full bridge and the second port; and a first freewheeling circuit including a first diode being coupled in series with a switch. The first freewheeling circuit is further coupled in parallel with the first inductor between the second full bridge and the second port. Thereby, the DC-to-DC converter has a wide input and wide output (WIWO) range and a voltage gain that is linear.

Abstract: Systems, methods, and computer readable media are described to train a compressed neural network with high robustness. The neural network is first adversarially pre-trained with both original data as well as data perturbed by adversarial attacks for some epochs, then “unimportant” weights or filters are pruned through criteria based on their magnitudes or other method (e.g., Taylor approximation of the loss function), and the pruned neural network is retrained with both clean and perturbed data for more epochs.

Abstract: A method for acquiring measurements for a data structure corresponding to an array of variable includes: selecting a subset of elements from the data structure; measuring a sampled value for each of the selected subset of elements; storing each of the sampled values in a K-nearest neighbour (KNN) database and labelling the sampled value as certain; generating a predicted value data structure where each predicted element is generated as the value of its nearest neighbor based on the values stored in the KNN database; for each predicted element: retrieve the predicted element's X nearest neighbours for the sampled value in the KNN database, and when a value of the X nearest neighbours is the same as the predicted element, the predicted element is labelled as certain, otherwise the predicted element is labelled the values as uncertain; and repeating until all elements are labelled as certain.

Abstract: A platform for training deep neural networks using push-to-corner preprocessing and adversarial training. A training engine adds a preprocessing layer before the input data is fed into a deep neural network at the input layer, for pushing the input data further to the corner of its domain.

Abstract: A platform, device and process is provided for visual construction of operations for data querying. In particular, embodiments described herein provides a platform, device and process for visual construction of nested operations for data querying. The visual construction is a display of one or more projected data spaces enabling a selection of data indicators on the display. The selection is conducted graphically on the visual construction and the system is configured to translate the selection to generate and conduct a query operating visually on the visualized (e.g., projected) data space. The visual data space includes distinct views of the plurality of multi-dimensionality data points mapped to reduced-dimensionality data points with a transformation function associated with each view. The selections are used to augment the multi-dimensionality data points with one or more additional dimensions to track the selections and to perform operations and visualizations.

Abstract: An interactive data visualization system is provided that utilizes unsupervised learning process, to automatically choose the hyperparameters for generating insights, which are then used for visualizing the data using interactive plots that update dynamically in response to input control commands.

Abstract: A platform for training deep neural networks using push-to-corner preprocessing and adversarial training. A training engine adds a preprocessing layer before the input data is fed into a deep neural network at the input layer, for pushing the input data further to the corner of its domain.

Abstract: A track-bound vehicle converter comprises a block-wave generator (20) configured to be connected to a direct voltage source (21) and connected to a series resonance link (34), or to an inductive link, for providing the input of a direct converter (41) with semi sinusoidal current pulses. The direct converter has at least one phase leg (42-44) having on one hand one switch (45-47) connected to the link (34) and able to block voltages in both directions thereacross and conduct current in both directions therethrough and on the other a capacitor (48-50) connected in series therewith. The voltage across the capacitor (48-50) of the direct converter is used to provide a converter output with an alternating voltage.

Abstract: Systems, methods, and computer readable media are described to train a compressed neural network with high robustness. The neural network is first adversarially pre-trained with both original data as well as data perturbed by adversarial attacks for some epochs, then “unimportant” weights or filters are pruned through criteria based on their magnitudes or other method (e.g., Taylor approximation of the loss function), and the pruned neural network is retrained with both clean and perturbed data for more epochs.

Abstract: A platform, device and process is provided for visual construction of operations for data querying. In particular, embodiments described herein provides a platform, device and process for visual construction of nested operations for data querying. The visual construction is a display of one or more projected data spaces enabling a selection of data indicators on the display. The selection is conducted graphically on the visual construction and the system is configured to translate the selection to generate and conduct a query operating visually on the visualized (e.g., projected) data space. The visual data space includes distinct views of the plurality of multi-dimensionality data points mapped to reduced-dimensionality data points with a transformation function associated with each view. The selections are used to augment the multi-dimensionality data points with one or more additional dimensions to track the selections and to perform operations and visualizations.

Abstract: A method for acquiring measurements for a data structure corresponding to an array of variable includes: selecting a subset of elements from the data structure; measuring a sampled value for each of the selected subset of elements; storing each of the sampled values in a K-nearest neighbour (KNN) database and labelling the sampled value as certain; generating a predicted value data structure where each predicted element is generated as the value of its nearest neighbor based on the values stored in the KNN database; for each predicted element: retrieve the predicted element's X nearest neighbours for the sampled value in the KNN database, and when a value of the X nearest neighbours is the same as the predicted element, the predicted element is labelled as certain, otherwise the predicted element is labelled the values as uncertain; and repeating until all elements are labelled as certain.

Abstract: An interactive data visualization system is provided that utilizes unsupervised learning process, to automatically choose the hyperparameters for generating insights, which are then used for visualizing the data using interactive plots that update dynamically in response to input control commands.