Abstract: An integrated circuit (IC) device comprises a substrate comprising a glass core. The glass core comprises a first surface and a second surface opposite the first surface, and a first sidewall between the first surface and the second surface. The glass core may include a conductor within a through-glass via extending from the first surface to the second surface and a build-up layer. The glass cord comprises a plurality of first areas of the glass core and a plurality of laser-treated areas on the first sidewall. A first one of the plurality of laser-treated areas may be spaced away from a second one of the plurality of laser-treated areas. A first area may comprise a first nanoporosity and a laser-treated area may comprise a second nanoporosity, wherein the second nanoporosity is greater than the first nanoporosity.

Abstract: The present application discloses a map data updating method, an apparatus, a device and a readable storage medium. The specific implementation solution is: after receiving road information reported by an electronic device, a server obtains multiple sequences according to the road information, and each road information belonging to the same sequence has the same type and location. After that, the server inputs each road information contained in the sequences to a pre-trained neural network model, so that the neural network model outputs a recognition result according to the sequences. The server updates map data according to the recognition result. With such solution, valid road information is recognized by combining context of each road information in the sequences and the neural network technology, and the map data is updated, which achieves the purpose of accurately updating the map data.

Abstract: The present disclosure discloses a method, apparatus and electronic device for early-warning, relates to the field of internet of vehicle and used for an intelligent traffic scenario. The specific implementations are: determining a target object crossing a road at a current moment, the road crossed by the target object being a first road; determining a target area based on a location of the target object; determining a target vehicle on the first road based on locations of vehicles on the first road as well as the target area; and sending an early-warning message to the target vehicle. It is using the locations of vehicles on the first road as well as the location of the target object crossing the road to determine the target vehicle during determination of the target vehicle among the vehicles on the first road, in order to send early-warning message to the target vehicle to achieve early-warning of the target vehicle and increase precision of the early-warning.

Abstract: The present disclosure discloses a method, apparatus and electronic device for early-warning, relates to the field of internet of vehicle and used for an intelligent traffic scenario. The specific implementations are: determining a target object crossing a road at a current moment, the road crossed by the target object being a first road; determining a target area based on a location of the target object; determining a target vehicle on the first road based on locations of vehicles on the first road as well as the target area; and sending an early-warning message to the target vehicle. It is using the locations of vehicles on the first road as well as the location of the target object crossing the road to determine the target vehicle during determination of the target vehicle among the vehicles on the first road, in order to send early-warning message to the target vehicle to achieve early-warning of the target vehicle and increase precision of the early-warning.

Abstract: The present application discloses a method and an apparatus for processing navigation data, a device and a storage medium, which relates to the fields of automatic driving and intelligent transportation, etc. The specific implementation solution is: in a process of vehicle driving, by obtaining real-time traffic status information of a local route within a distance ahead in real time, sending the real-time communication state information of the local route to a server, and optimizing and adjusting a recommended order of each candidate route by the server according to the real-time traffic status information of the local route, a current optimal navigation route can be determined by the vehicle terminal according to an adjusted recommended order of candidate routes, thereby can dynamically optimize and adjust a navigation route according to a real-time traffic status of the local route ahead, and provide a better navigation route for a vehicle.

Abstract: The present application discloses a map data updating method, an apparatus, a device and a readable storage medium. The specific implementation solution is: after receiving road information reported by an electronic device, a server obtains multiple sequences according to the road information, and each road information belonging to the same sequence has the same type and location. After that, the server inputs each road information contained in the sequences to a pre-trained neural network model, so that the neural network model outputs a recognition result according to the sequences. The server updates map data according to the recognition result. With such solution, valid road information is recognized by combining context of each road information in the sequences and the neural network technology, and the map data is updated, which achieves the purpose of accurately updating the map data.