Abstract: Techniques for using logit values for classifying utterances and messages input to chatbot systems in natural language processing. A method can include a chatbot system receiving an utterance generated by a user interacting with the chatbot system. The chatbot system can input the utterance into a machine-learning model including a set of binary classifiers. Each binary classifier of the set of binary classifiers can be associated with a modified logit function. The method can also include the machine-learning model using the modified logit function to generate a set of distance-based logit values for the utterance. The method can also include the machine-learning model applying an enhanced activation function to the set of distance-based logit values to generate a predicted output. The method can also include the chatbot system classifying, based on the predicted output, the utterance as being associated with the particular class.

Abstract: In some aspects, a computing device may receive, at a data processing system, a set of utterances for training or inferencing with a named entity recognizer to assign a label to each token piece from the set of utterances. The computing device may determine a length of each utterance in the set and when the length of the utterance exceeds a pre-determined threshold of token pieces: dividing the utterance into a plurality of overlapping chunks of token pieces; assigning a label together with a confidence score for each token piece in a chunk; determining a final label and an associated confidence score for each chunk of token pieces by merging two confidence scores; determining a final annotated label for the utterance based at least on the merging the two confidence scores; and storing the final annotated label in a memory.

Abstract: The present disclosure provides a driving circuitry, a driving method, a driving module, and a display device. The driving circuitry includes a driving signal generation circuitry, a gating circuitry, an output control circuitry and an output circuitry. The driving signal generation circuitry is configured to perform a shifting operation on an (N?1)th-level driving signal to obtain an Nth-level driving signal. The gating circuitry is configured to write a gating input signal into a first node under the control of a gating control signal. The output control circuitry is configured to perform an NAND operation on the Nth-level driving signal and a potential at a second end of the output control circuitry to obtain a first output signal. The output circuitry is configured to perform phase inversion on the first output signal to obtain and provide an output driving signal through an output driving end, where N is a positive integer.

Abstract: Provided are an information generation method and apparatus, and an electronic device.

Abstract: A driving circuit includes a driving signal generation circuit, a gating circuit, an output control circuit, an output circuit, a voltage control circuit and a second node control circuit; the driving signal generation circuit generates an Nth stage of driving signal; the output control circuit controls to connect the first control node and the second node under the control of the potential of the first node; the gating circuit writes a gating input signal into the first node under the control of a gating control signal; the voltage control circuit controls a potential of the second node according to the potential of the first node; the second node control circuit controls to connect the second node and the first voltage terminal under the control of the potential of the first node.

Abstract: The present invention provides an electric power material distribution and allocation method based on an optimized branch and bound method, including: sorting the distribution of each batch of electric power materials to obtain a material set R; screening available vehicle data to obtain a vehicle deadweight set W and a vehicle unique identification set C; determining whether available vehicles meet requirements; and using an optimized queued branch and bound method to obtain an optimal distribution and allocation scheme. According to the present invention, scientific scheme support is provided for the distribution and allocation of the electric power materials, the scientificity of the distribution of power grid materials is improved, the influence of human factors is reduced, the utilization rate of distribution vehicles is increased, the distribution cost of the materials is reduced, and the economic benefit is improved.

Abstract: A driving circuit includes a driving signal generation circuit, a gating circuit, an output control circuit, an output circuit and a voltage control circuit; the driving signal generation circuit generates an Nth stage of driving signal, the output control circuit connects the first control node and the second node under the control of the potential of the first node; the gating circuit controls to write a gating input signal into the first node under the control of a gating control signal; the voltage control circuit controls a potential of the second node according to a potential of the first node; the output circuit connects the output driving terminal and the first voltage terminal under the control of the potential of the second node, and connects the output driving terminal and the second voltage terminal under the control of the potential of the third control node.

Abstract: A core-shell gradient ternary precursor and a preparation method and application thereof. The preparation method includes (1) mixing a terephthalic acid solution with alkaline liquor to obtain a terephthalic acid salt solution, adding a nickel source solution for a reaction to obtain a Ni-MOF solution, mixing the Ni-MOF solution with ammonia water, and adjusting a pH value to obtain a base solution; and (2) adding a nickel-cobalt-manganese ternary mixed salt solution, a liquid alkali solution, and an ammonia-water solution simultaneously to the base solution obtained in step (1) for a co-precipitation reaction, and obtaining the core-shell gradient ternary precursor after aging treatment. The Ni-MOF is pre-prepared and used as a core for the co-precipitation reaction, to obtain the core-shell like precursor with a gradient. Carbon in the core of the core-shell gradient ternary precursor reacts with oxygen, thereby reducing a nickel oxidation state on particle surfaces and reducing crack generation.

Abstract: Embodiments of the present disclosure provide an effect display method, apparatus and device, a storage medium, and a product. The method includes: acquiring an effect trigger instruction, the effect trigger instruction corresponding to a first image frame in a streaming media content of a live stream room, and the effect trigger instruction also corresponding to first effect information; in response to the effect trigger instruction, determining target effect information according to the first effect information and a target object in the first image frame; and sending the target effect information to a first client device associated with the live stream room, so that the first client device displays an effect corresponding to the target effect information.

Abstract: A driving circuit includes a driving signal generation circuit, a gating circuit, an output control circuit and an output circuit; the driving signal generation circuit generates and outputs the Nth stage of driving signal; the gating circuit controls to write the gating input signal into the first node; the output control circuit performs a NAND operation on the Nth stage of driving signal and the potential of the second terminal of the output control circuit to obtain a first output signal; the output circuit inverts the first output signal to obtain and provide an output driving signal through the output driving terminal; N is a positive integer.

Abstract: The present disclosure relates to the field of data processing. Provided is a distributed computing method, comprising: acquiring a data computing task; splitting the data computing task to obtain subtasks, deploying the subtasks to computing nodes, and configuring a parallel mode for each of the computing nodes in a distributed training universal frame; configuring a connection manner and a communication synchronization manner between the computing nodes; optimizing information synchronization efficiency for the computing nodes by using a gradient optimization algorithm or a non-gradient optimization algorithm; and aggregating intermediate results generated by the computing nodes, and outputting a corresponding final computing result.

Abstract: The present disclosure provides a driving circuitry, a driving method, a driving module, and a display device. The driving circuitry includes a driving signal generation circuitry, a gating circuitry, an output control circuitry and an output circuitry. The driving signal generation circuitry is configured to perform a shifting operation on an (N?1)th-level driving signal to obtain an Nth-level driving signal. The gating circuitry is configured to write a gating input signal into a first node under the control of a gating control signal. The output control circuitry is configured to perform an NAND operation on the Nth-level driving signal and a potential at a second end of the output control circuitry to obtain a first output signal. The output circuitry is configured to perform phase inversion on the first output signal to obtain and provide an output driving signal through an output driving end, where N is a positive integer.

Abstract: A method of selective metal removal via gradient oxidation for a gap-fill includes performing process cycles, each process cycle including placing a wafer having a semiconductor structure thereon into a first processing station, the semiconductor structure including a dielectric layer patterned with a feature formed therein and a seed layer formed on sidewalls and a bottom surface of the feature and a top surface of the dielectric layer, performing a reduction process on the wafer in the first processing station, performing a gradient oxidation process on the wafer in the second processing station, performing a gradient etch process on the wafer in the third processing station, and performing the gradient etch process on the wafer in the fourth processing station, wherein the first, second, third, and fourth processing stations are located in an interior volume of a processing chamber.

Abstract: An online uncapping system includes a sample intake rail, a scanning blocking mechanism, a sample container information scanning apparatus, an uncapping blocking mechanism, a sample tube clamping mechanism, a sample tube uncapping device, and a cap receiving mechanism. The scanning blocking mechanism is arranged on one side of the sample intake rail; the sample container information scanning apparatus is configured to read information about the sample tube blocked by the scanning blocking mechanism; the uncapping blocking mechanism is arranged on one side of the sample inlet rail and configured to block and release the sample tube; the sample tube clamping mechanism is configured to clamp the sample tube blocked by the uncapping blocking mechanism; the sample tube uncapping device is configured to uncover the sample tube blocked by the uncapping blocking mechanism; and the cap receiving mechanism is configured to collect the tube cap.

Abstract: An image generating method and apparatus, and a device and a medium are disclosed. The method comprises: acquiring weakly correlated image-text data pairs, and creating an image-text data set according to the weakly correlated image-text data pairs, wherein the weakly correlated image-text data pairs are image-text data pairs in which images and texts have weak correlations (S11); training, by using the image-text data set, an image generation model which is preconstructed on the basis of an adversarial network, so as to obtain a trained image generation model, wherein the image generation model includes a generator for generating an image, and a discriminator for identifying the authenticity of the image and calculating a corresponding loss value (S12); and after when text data to be processed has been acquired, generating, by using the trained image generation model, an image corresponding to the said text data (S13).

Abstract: Provided are a display panel, a preparation method thereof, and a display device. The display panel includes a display substrate and a touch panel including multiple touch electrodes, At least one of which includes multiple grid patterns enclosed by metal wires. At least one grid pattern includes a first edge, second edge, third edge and fourth edge that form a ring. The first edge and the third edge extend in a second direction. The second edge and the fourth edge extend in a first direction. A shape of the grid pattern includes a first curved ring, a second curved ring, a third curved ring, or a fourth curved ring. A first edge and third edge of the first curved ring are curves curved towards a direction opposite to the first direction. A first edge and third edge of the second curved ring are curves curved towards the first direction.

Abstract: The present disclosure relates to manufacturing training data by leveraging an automated pipeline that manufactures visualization training datasets to train a machine learning model to convert a natural language utterance into meaning representation language logical form that includes one or more visualization actions. Aspects are directed towards accessing an original training dataset, a visualization query dataset, an incremental visualization dataset, a manipulation visualization dataset, or any combination thereof. One or more visualization training datasets are generated by: (i) modifying examples in the original training dataset, the visualization query dataset, or both to include visualization actions, (ii) generating examples, using the incremental visualization dataset, the manipulation visualization dataset, or both, that include visualization actions, or (iii) both (i) and (ii).

Abstract: Techniques are disclosed herein for transforming natural language conversations into a visual output. In one aspect, a computer-implement method includes generating an input string by concatenating a natural language utterance with a schema representation comprising a set of entities for visualization actions, generating, by a first encoder of a machine learning model, one or more embeddings of the input string, encoding, by a second encoder of the machine learning model, relations between elements in the schema representation and words in the natural language utterance based on the one or more embeddings, generating, by a grammar-based decoder of the machine learning model and based on the encoded relations and the one or more embeddings, an intermediate logical form that represents at least the query, the one or more visualization actions, or the combination thereof, and generating, based on the intermediate logical form, a command for a computing system.

Abstract: An online centrifugal system includes a conveying device, a balancing and weighing mechanism, a manipulator, and a centrifuge. The conveying device, the balancing and weighing mechanism and the centrifuge are sequentially arranged. The conveying device is used to convey a sample holder for holding blood collection tubes, the balancing and weighing mechanism is used to weigh an adapter, and the centrifuge is used to perform centrifugation to blood collection tubes. The manipulator is used to grab the blood collection tubes and the adapter respectively, to convey the blood collection tubes between the adapter and the conveying device, and convey the adapter between the centrifuge and the balancing and weighing mechanism. An inlet and outlet window is provided on the centrifuge for passage of the adapter. The balancing and weighing mechanism is used to balance the adapter, thereby meeting balancing needs of the adapter.

Abstract: This application discloses a method of determining a network path and a network device. The method includes: determining a first reachable network path that uses a source node as a start point and a directly connected node of the source node as an end point; selecting a first node from a to-be-added node set to obtain a second reachable network path that uses the source node as the start point and the first node as a relay; and when there are m paths that use a same destination node as end points in the first and second reachable network paths, comparing the m paths based on n target factors to obtain a first dominant network path, and updating the first reachable network path based on the first dominant network path, where m?2, and n?2.