Abstract: Provided is a multimedia data stream processing method, an electronic device and a storage medium, relating to the field of artificial intelligence, and specifically, to the technical fields of cloud computing, media cloud technology, and the like, which may be applied to scenes such as smart cloud. The multimedia data stream processing method includes: allocating a plurality of sub-streams of a multimedia data stream to a plurality of edge resource nodes, where the multimedia data stream is segmented into a plurality of slices and each of the plurality of sub-streams includes a part of the plurality of slices of the multimedia data stream; and scheduling the plurality of edge resource nodes to provide the plurality of sub-streams of the multimedia data stream for a terminal device.

Abstract: The disclosure provides a method for processing data, and an electronic device. The method includes: obtaining first attribute information of input data and second attribute information of a computing device corresponding to the input data; selecting a target operator implementation mode from a plurality of candidate operator implementation modes based on the first attribute information and the second attribute information; determining a plurality of sub-operators included in an operator required for the input data from an operator library based on the target operator implementation mode, to generate the operator; and obtaining an operation result by performing an operation on the input data by the computing device based on the operator.

Abstract: An image filling method and apparatus, a device and a storage medium are disclosed. The image filling method includes: performing multilevel encoding processing on features of an image to be filled to generate multilevel encoded feature layers, sizes of the multilevel encoded feature layers being reduced layer by layer; performing layer-by-layer decoding processing on the multilevel encoded feature layers to obtain multilevel decoded feature layers and a first image, there being no missing region in the first image, wherein the layer-by-layer decoding processing includes a concatenation operation on a decoded feature layer and an encoded feature layer with a same size; and performing up-sampling processing on the first image to obtain multilevel up-sampled feature layers and a second image optimized by the up-sampling processing, the up-sampling processing including a concatenation operation on an up-sampled feature layer and a decoded feature layer with a same size.

Abstract: The present application discloses a voice control method for applets and a device, and a storage medium, relating to a voice technology in computer technologies, specific implementations being: a voice control instruction for a target applet in an intelligent voice device from a user is acquired through a voice collecting device; voice recognition and intention analysis are performed by a voice interaction system on the voice control instruction to acquire intention information, and the intention information is transmitted to a target applet; the intention information is received and converted into a control instruction executable by a thread of the target applet by the target applet, and the control instruction is executed by the thread of the target applet.

Abstract: A method of processing audio data, an electronic device, and a storage medium, which relates to a field of artificial intelligence, in particular to a field of speech processing technology. The method includes: processing spectral data of the audio data to obtain a first feature information; obtaining a fundamental frequency indication information according to the first feature information, wherein the fundamental frequency indication information indicates valid audio data of the first feature information and invalid audio data of the first feature information; obtaining a fundamental frequency information and a spectral energy information according to the first feature information and the fundamental frequency indication information; and obtaining a harmonic structure information of the audio data according to the fundamental frequency information and the spectral energy information.

Abstract: A method of detecting a collision of objects, an electronic device and a storage medium, which may be applied to a field of electronic technology, in particular to a field of intelligent transportation and map navigation technology. The method includes: acquiring an attribute information of each of two objects to be detected, including a rotation position of the object to be detected relative to a predetermined three-dimensional space and a size information of the object to be detected projected onto a predetermined two-dimensional plane; determining a size information of a bounding box for each object according to the size information of each object, a center of the bounding box is located at the rotation position of the object to be detected; and determining a collision result according to the rotation positions of the two objects and the size information of the bounding boxes for the two objects.

Abstract: A method of retrieving a query, an electronic device, and a medium are provided, which relate to fields of intelligent searching, intelligent recommendation, natural language processing, etc. The method of retrieving a query includes: processing a query to be retrieved, so as to obtain a first processing result for the query to be retrieved, the first processing result containing a first text information and a first semantic information; comparing the first processing result with a second processing result of each of at least one candidate query, so as to obtain a comparison result, the second processing result containing a second text information and a second semantic information; determining a target query from the at least one candidate query based on the comparison result; and determining at least one of the target query or an answer corresponding to the target query as a retrieving result.

Abstract: A method for dialogue processing, an electronic device and a storage medium are provided. The specific technical solution includes: obtaining a dialogue history; selecting a target machine from a plurality of machines; inputting the dialogue history into a trained dialogue model in the target machine to generate a response to the dialogue history, in which the dialogue model comprises a common parameter and a specific parameter, and different machines correspond to the same common parameter.

Abstract: A route recommendation method, an electronic device, and a storage medium are provided, which relate to the field of data processing and especially relate to the field of intelligent recommendation. The method includes: receiving a route recommendation request, wherein the route recommendation request comprises N-dimension itinerary label information; selecting M theme routes from a theme route library according to the N-dimension itinerary label information; determining a recommended route from the M theme routes, wherein the selecting the M theme routes from the theme route library according to the N-dimension itinerary label information, comprises: selecting at least one theme route from the theme route library according to i-th-dimension itinerary label information in the N-dimension itinerary label information and theme information of respective theme routes in the theme route library.

Abstract: A method and apparatus for acquiring point of interest (POI) state information are suggested, which relate to a big data technology in the technical field of artificial intelligence. A specific implementation scheme involves: acquiring a text including POI information within a preset period from the Internet; and recognizing the text by using a pre-trained POI state recognition model, to obtain a two-tuple in the text, the two-tuple including a POI name and POI state information corresponding to the POI name.

Abstract: A method for determining a visible angle of a target object, an electronic device, and a storage medium are provided. The method includes: acquiring first point of interest POI data of the target object, second POI data of an occluder, and a position of an observation point; determining a first tangent line and a second tangent line of the target object, passing through the position of the observation point, according to the first POI data and the position of the observation point; determining a third tangent line and a fourth tangent line of the occluder, passing through the position of the observation point, according to the second POI data and the position of the observation point; and determining a target visible angle of the target object relative to the occluder according to the first tangent line, the second tangent line, the third tangent line, and the fourth tangent line.

Abstract: A method and apparatus for generating a drivable 3D character, an electronic device and a storage medium are disclosed, which relate to the field of artificial intelligence, such as computer vision, deep learning, or the like, and may be applied to 3D vision and other scenarios. The method may include: acquiring a 3D human body mesh model corresponding to a to-be-processed 2D image; performing a skeleton embedding operation on the 3D human body mesh model; and performing a skin binding operation on the 3D human body mesh model after the skeleton embedding operation to obtain a drivable 3D human body mesh model.

Abstract: This application discloses an intent recognition optimization processing method, apparatus, device and storage medium, and relates to the field of internet technology. The implementation scheme of specific method includes: acquiring a first intent set and at least one original corpus; acquiring a first recognition result of each original corpus, where the first recognition result of any one of the original corpus includes a first intent corresponding to the original corpus recognized by the intent recognition model; acquiring a second recognition result of each original corpus, where the second recognition result of any one of the original corpus includes a second intent corresponding to the original corpus obtained through artificial recognition; and performing optimization processing on the first intent set to obtain a second intent set according to the first recognition result and the second recognition result of each original corpus.

Abstract: A method for automated parking, a device, and a storage medium, which relate to a field of automated parking. The method for automated parking includes: determining, based on a historical location of a vehicle over a first time period, a frequented region associated with one or more candidate parking routes for the vehicle; acquiring the one or more candidate parking routes for the vehicle based on one or more historical parking routes of the vehicle in the frequented region, where the one or more historical parking routes include a driving-in route and/or a driving-out route; and providing the vehicle with the acquired one or more candidate parking routes in response to determining that the vehicle is in the frequented region, for the vehicle to drive in or drive out.

Abstract: An apparatus and a method for executing a customized production line using an artificial intelligence development platform, a computing device and a computer readable storage medium are provided. The apparatus includes: a production line executor configured to generate a native form of the artificial intelligence development platform based on a file set, the native form to be sent to a client accessing the artificial intelligence development platform so as to present a native interactive page of the artificial intelligence development platform; and a standardized platform interface configured to provide an interaction channel between the production line executor and the artificial intelligence development platform. The production line executor is further configured to generate an intermediate result by executing processing logic defined in the file set and to process the intermediate result by interacting with the artificial intelligence development platform via the standardized platform interface.

Abstract: Embodiments of the present disclosure disclose a method for processing tasks in parallel, a device and a storage medium, and relate to a field of artificial intelligent technologies. The method includes: determining at least one parallel computing graph of a target task; determining a parallel computing graph and an operator scheduling scheme based on a hardware execution cost of each operator task of each of the at least one parallel computing graph in a cluster, in which the cluster includes a plurality of nodes for executing the plurality of operator tasks, and each parallel computing graph corresponds to at least one operator scheduling scheme; and scheduling and executing the plurality of operator tasks of the determined parallel computing graph in the cluster based on the determined parallel computing graph and the determined operator scheduling scheme.

Abstract: The present disclosure provides a vehicle positioning method, an apparatus and an autonomous driving vehicle, relating to autonomous driving in the technical field of artificial intelligence, which can be applied to high-definition positioning of the autonomous driving vehicle, the method including: if there is no high-definition map in a vehicle, acquiring intermediate pose information of the vehicle based on a global navigation satellite system and/or an inertial measurement unit in the vehicle, and determining the intermediate pose information as global positioning information; acquiring local positioning information; performing fusion processing to the global pose information and the local pose information to obtain fused pose information; performing compensation processing to the fused pose information according to the global attitude angle information and the local attitude angle information to obtain a position of the vehicle.

Abstract: A method and apparatus for processing a table, a device, a storage medium and a product. An implementation of the method comprise: receiving a content query request for a target table; acquiring a target tree structure of the target table according to the content query request; where, the target tree structure is obtained by performing absorbing processing and merging processing on at least one target cell in the target table; acquiring to-be-queried content in the content query request; and querying target content matching the to-be-queried content from the target tree structure.

Abstract: The disclosure discloses a method for generating a conversation, an electronic device, and a storage medium. The detailed implementation includes: obtaining a current conversation and historical conversations of the current conversation; selecting multiple reference historical conversations from the historical conversations and adding the multiple reference historical conversations to a temporary conversation set; and generating reply information of the current conversation based on the current conversation and the temporary conversation set.

Abstract: The present application discloses a method, a device, equipment, and storage medium for determining a sensor solution, where the method includes: establishing a simulated unmanned vehicle and a simulation scene, where the simulation scene is used for the simulated unmanned vehicle to perform simulation driving; determining a first sensor solution according to a initialization parameter, and determining, according to the first sensor solution, simulation data generated by the simulated unmanned vehicle during the simulation driving in the simulation scene; and; and determining a first perception parameter of the first sensor solution according to the simulation data, and correcting the first sensor solution according to the first perception parameter to obtain a sensor solution applied to an unmanned vehicle.