Abstract: A vehicle development platform is operated on a vehicle controller and includes a hardware layer, an operating-system-and-driver layer, a platform service layer, and an application layer that are connected and communicate with each other. The hardware layer includes a carrier for software resources and is configured to form a resource pool. An operating system of the operating-system-and-driver layer operates on the hardware layer, and is configured to provide an operation condition for the platform service layer. The platform service layer operates on the operating system and is configured to transmit and manage data in a vehicle. The application layer is configured to load an upper-layer service program and an upper-layer application program of the vehicle.

Abstract: An in-vehicle operating system includes a hardware layer, a software layer, and an application layer. The hardware layer includes at least one controller, and each of the at least one controller includes a processor. The software layer includes a Be operating system (BEOS) and a BEOS driver, where the BEOS is configured to manage and control the in-vehicle operating system, and the BEOS driver is configured to transfer data between the hardware layer and the software layer. The application layer includes a plurality of applications, the applications are connected to the BEOS by an operating system interface, and each of the applications is configured to provide an in-vehicle application to the vehicle.

Abstract: An artificial intelligence based method and apparatus for processing information. A specific embodiment of the method includes: acquiring a search record set within a preset time period; matching the search record set with an encyclopedia entry set, and selecting a first set of points of interest from the encyclopedia entry set according to a match result; matching the search record set with a microblog topic set, and selecting a second set of points of interest from the microblog topic set according to a match result; and adding the first set of points of interest and the second set of points of interest to a set of points of interest. This embodiment achieves an accurate acquisition of the points of interest, thus facilitating the implementation of a targeted information push.

Abstract: An artificial intelligence based method and apparatus for processing information. A specific embodiment of the method includes: acquiring search click information recorded within a predetermined time period; generating a candidate entry set by selecting, from the search click information, entries having click volumes exceeding a click volume threshold within a preset unit time period; forming, for each candidate entry in the candidate entry set, a click volume sequence according to a chronological order of each of the click volumes corresponding to the candidate entry in the predetermined time period; determining, based on click volume sequences, categories of the candidate entries respectively corresponding to click volume sequences; and determining candidate entries having the categories being a preset category as points of interest to generate a set of points of interest.

Abstract: A method and apparatus for pushing information. A specific implementation of the method includes: parsing page content browsed by a user to extract a keyword of the page content and determine a theme corresponding to the keyword; determining a preset keyword matching the keyword in a preset keyword collection; determining an associated keyword associated with the determined preset keyword based on a pre-established associated relationship of the preset keyword; and pushing information corresponding to the theme and/or the associated keyword to the user. This implementation implements targeted information push.

Abstract: The present disclosure discloses an artificial intelligence based method and apparatus for processing information. A specific embodiment of the method includes: acquiring a search record set within a preset time period; matching the search record set with an encyclopedia entry set, and selecting a first set of points of interest from the encyclopedia entry set according to a match result; matching the search record set with a microblog topic set, and selecting a second set of points of interest from the microblog topic set according to a match result; and adding the first set of points of interest and the second set of points of interest to a set of points of interest. This embodiment achieves an accurate acquisition of the points of interest, thus facilitating the implementation of a targeted information push.

Abstract: A method and apparatus for pushing information. A specific implementation of the method includes: parsing page content browsed by a user to extract a keyword of the page content and determine a theme corresponding to the keyword; determining a preset keyword matching the keyword in a preset keyword collection; determining an associated keyword associated with the determined preset keyword based on a pre-established associated relationship of the preset keyword; and pushing information corresponding to the theme and/or the associated keyword to the user. This implementation implements targeted information push.

Abstract: The present disclosure discloses an artificial intelligence based method and apparatus for processing information. A specific embodiment of the method includes: acquiring search click information recorded within a predetermined time period; generating a candidate entry set by selecting, from the search click information, entries having click volumes exceeding a click volume threshold within a preset unit time period; forming, for each candidate entry in the candidate entry set, a click volume sequence according to a chronological order of each of the click volumes corresponding to the candidate entry in the predetermined time period; determining, based on click volume sequences, categories of the candidate entries respectively corresponding to click volume sequences; and determining candidate entries having the categories being a preset category as points of interest to generate a set of points of interest.