Abstract: A search method, a search device, an electronic device, and a storage medium are provided, which relate to the field of intelligent search technologies. The method includes: receiving a first keyword inputted by a user; receiving a target resource sent by a server if a degree of association between the first keyword and a target keyword or a target page meets a preset condition, where the target resource is a resource of a search result page corresponding to the target keyword or a resource of the target page; pre-rendering a received target resource in a target container when receiving the target resource returned by the server; outputting, if a first search instruction inputted by the user is detected, the resource in the target container in response to the first search instruction; where the first search instruction is an instruction to search for the target keyword or the target page.

Abstract: A collision detection method and device, as well as an electronic device and a storage medium are provided. The collision detection method includes: acquiring a plurality of video frames containing an obstacle target within a preset time period; analyzing the plurality of video frames to acquire a historical moving track of the obstacle target within the preset time period; inputting the historical moving track into a pre-trained track prediction model, to acquire at least one predicted moving track of the obstacle target; and performing a collision detection with a planned track of an autonomous vehicle and the at least one predicted moving track. The accuracy of collision detection can be improved.

Abstract: Embodiments of the present disclosure provide a transaction processing method, apparatus, device and system for a multi-chain system. The multi-chain system includes a mainchain and at least one slave-chain, a multi-chain network of the multi-chain system includes a plurality of nodes, and each node is deployed with one or more of the mainchain and the slave-chains. The method is executed by a slave-chain node deployed with the slave-chain. The method includes: generating slave-chain blocks based on a slave-chain consensus mechanism, and storing the slave-chain blocks on the slave-chain; and in response to determining that a confirmation condition of the mainchain is met, transmitting a slave-chain block to be confirmed on the slave-chain to nodes of the mainchain, to request consensus nodes of the mainchain to confirm the slave-chain block to be confirmed, and storing confirmation information of the slave-chain block to be confirmed on the mainchain.

Abstract: An input method for a virtual keyboard includes: in response to acquiring a click operation on the virtual keyboard, determining a click position of the click operation; determining a first probability that the click operation belongs to each key based on the click position and a current response region corresponding to each key in the virtual keyboard; determining a second probability that the click operation belongs to each key based on an input character sequence; and determining a target key corresponding to the click operation based on the first probability and the second probability for each key.

Abstract: The present disclosure provides a medical data verification method, apparatus and an electronic device, related to a field of artificial intelligence technologies, such as AI (artificial intelligence) medical treatment, deep learning, knowledge graphs, natural language processing. A specific implementation is: obtaining medical data to be verified and a candidate document; obtaining feature vectors respectively corresponding to the medical data to be verified and the candidate document by processing the medical data to be verified and the candidate document by using a nature language processing model; obtaining N correlation vectors by calculating correlation between the medical data to be verified and the candidate document based on the feature vectors by using N methods, N being a positive integer greater than 1; and determining a confidence degree of the medical data to be verified to the candidate document by performing fusion calculation on the N correlation vectors.

Abstract: Embodiments of the present disclosure provide a method and a device for predicting a box office trend of a film, a device and a storage medium. The method includes acquiring in real time a plurality of dynamic factor data of each of various films to be shown, in which, the dynamic factor data represents a factor that influences box office of the film; after a film in the various films is shown, incrementally updating a pre-trained box office prediction model by using box office data and the plurality of dynamic factor data of the film; and according to a preset period, predicting a box office trend of a target film to be predicted in the various films by using a box office prediction model incrementally updated in each preset period and the plurality of dynamic factor data of the target film, to obtain a plurality of prediction results.

Abstract: A search method, a search device, an electronic device, and a storage medium are provided, which relate to the field of intelligent search technologies. The method includes: receiving a first keyword inputted by a user; receiving a target resource sent by a server if a degree of association between the first keyword and a target keyword or a target page meets a preset condition, where the target resource is a resource of a search result page corresponding to the target keyword or a resource of the target page; pre-rendering a received target resource in a target container when receiving the target resource returned by the server; outputting, if a first search instruction inputted by the user is detected, the resource in the target container in response to the first search instruction; where the first search instruction is an instruction to search for the target keyword or the target page.

Abstract: A collision detection method and device, as well as an electronic device and a storage medium are provided. The collision detection method includes: acquiring a plurality of video frames containing an obstacle target within a preset time period; analyzing the plurality of video frames to acquire a historical moving track of the obstacle target within the preset time period; inputting the historical moving track into a pre-trained track prediction model, to acquire at least one predicted moving track of the obstacle target; and performing a collision detection with a planned track of an autonomous vehicle and the at least one predicted moving track. The accuracy of collision detection can be improved.

Abstract: A method comprises: acquiring a to-be-compressed topic model, wherein each line of the topic model represents a distribution of a word among respective topics; performing a format conversion on the topic model to obtain a first topic model, wherein each line of the first topic model represents a distribution of a topic among respective words; selecting any two topics from the first topic model to form a topic pair, forming a topic pair set using at least one topic pair, and determining a similarity between the two topics in each topic pair in the topic pair set; merging topic pairs having a similarity greater than a similarity threshold to generate a second topic model; and performing a format conversion on the second topic model to obtain a compressed topic model, so that each line of the compressed topic model represents a distribution of a word among the respective topics.

Abstract: Provided in embodiments of the present invention are a method and device for virus identification, a nonvolatile storage medium, and a device. The embodiments of the present invention, by scanning files in a designated directory, acquire the file name of an executable file, and then determine a file name that is either identical or similar to the file name of the executable file, allow for identification of the executable file as a folder virus on the basis of an attribute of a folder corresponding to the identical or similar file name, obviate the need for relying on virus feature information of folder viruses, are easy to operate and not error-prone, thus increasing the efficiency and reliability of virus identification.

Abstract: A method comprises: acquiring a to-be-compressed topic model, wherein each line of the topic model represents a distribution of a word among respective topics; performing a format conversion on the topic model to obtain a first topic model, wherein each line of the first topic model represents a distribution of a topic among respective words; selecting any two topics from the first topic model to form a topic pair, forming a topic pair set using at least one topic pair, and determining a similarity between the two topics in each topic pair in the topic pair set; merging topic pairs having a similarity greater than a similarity threshold to generate a second topic model; and performing a format conversion on the second topic model to obtain a compressed topic model, so that each line of the compressed topic model represents a distribution of a word among the respective topics.