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: The present application discloses a block chain-based asset processing method, device, apparatus and storage medium, and relates to the technical field of block chain. The method includes: starting a voting on whether a target account is an account to be retrieved, in response to an asset retrieval transaction request of the target account for the account to be retrieved; performing an identity authentication on the target account, according to the votes of one or more target participants participating in one or more historical transactions initiated by the account to be retrieved; and processing the assets of the account to be retrieved, according to a result of the identity authentication of the target account.

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: 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.