Abstract: In a Wi-Fi operating mode switching method, if an electronic device needs to switch a Wi-Fi module from a first operating mode to a second operating mode whose specification is lower than that of the first operating mode, the electronic device may send an operating mode switching indication to a peer device, to indicate the peer device to switch to the second operating mode. After sending the operating mode switching indication to the peer device, the electronic device may switch to the second operating mode to send a physical frame to the peer device, and keep receiving, in the first operating mode, a physical frame sent by the peer device. When detecting, in the physical frame sent by the peer device, that the peer device has switched to the second operating mode, the electronic device switches an operating mode of the Wi-Fi module to the second operating mode.

Abstract: This application provides a communication method, a terminal device, and a storage medium. The communication method includes: A first terminal device performs a Wi-Fi P2P service in response to a first operation of a user, where the first terminal device uses a first channel to perform the Wi-Fi P2P service, and a bandwidth of the first channel is a maximum bandwidth supported by the first terminal device, and is 80 MHz or 160 MHz. When detecting that a signal-to-noise ratio and/or a channel load of the first channel meet a first preset condition, the first terminal device switches from the first channel to a second channel to perform the Wi-Fi P2P service, where a bandwidth of the second channel is 20 MHz or 40 MHz.

Abstract: Methods, systems, and apparatuses, including computer programs encoded on computer storage media, for processing a sequence of frames. The methods comprise receiving sensor data capturing unlabeled objects in a sequence of frames. The sensor data comprises first-type and second-type sensor data. For each frame of the sequence of frames, the first-type sensor data is processed to generate one or more segmentation masks for the frame. A road mask representing road surface information is generated based at least on the one or more segmentation masks. For each frame in the sequence of frames, a correlation between the first-type sensor data and the second-type sensor data is generated. Using the respective correlations and the road mask, the second-type sensor data is filtered to remove a portion of the second-type sensor data that is irrelevant to the unlabeled objects. The remaining second-type sensor data is clustered to classify one or more unlabeled objects.

Abstract: This disclosure provides a communication method. The method includes: A first AP that sends multicast data obtains communication quality of a plurality of devices connected to the first AP. The first AP groups the plurality of devices into at least two device groups based on the communication quality of the plurality of devices, and sends data to a device in a first device group and a device in a second device group at a first rate. The first rate is determined based on a threshold of the first device group and a threshold of the second device group. The threshold of the first device group is different from the threshold of the second device group, and the data is sent in a multicast manner.

Abstract: This application discloses a multi-device connection establishment method and a device. The method includes: A first device sends a first message, where the first message is used to discover another device; the first device receives one or more second messages from one or more devices, where the second message is a response message for the first message; the first device determines, based on the one or more second messages, to establish a connection to a second device in the one or more devices; and the first device negotiates, with the second device, link information used to establish direct communication between the first device and the second device, and establishes a direct communication connection to the second device based on the link information. After a communication connection is established between devices based on discovery, link information is negotiated, and direct communication is established based on the link information, to form a system.

Abstract: Techniques for incorporating sequence encoders into machine-learned models where the sequence encoders operate on bag of words (BOW) input are provided. Tokens that are associated with online activities of an entity are identified. Machine-learned embeddings that correspond to the tokens are identified. Based on one or more ordering criteria that are independent of the temporal occurrence of the online activities of the entity, an order of the machine-learned embeddings is determined. Based on the order, the machine-learned embeddings are inputted to a sequence encoder that generates output. Based on the output, a machine learned model that includes the sequence encoder generates a score. A content item is selected based on the score. The content item is transmitted over a computer network to a computing device.

Abstract: A clock synchronization method, a device, and a system are provided. The method includes: A first device receives first information sent by a second device, where the first information includes second clock domain identification information. The first device updates clock domain identification information of the first device to the second clock domain identification information and sends a first synchronization request to the second device when quality of a signal between the first device and a second master device meets a first condition. The first device receives a first synchronization indication from the second device, where the first synchronization indication includes the second clock domain identification information and a first moment at which the second device sends the first synchronization indication. The first device synchronizes a clock of the first device to a second clock based on the second clock domain identification information and the first moment.

Abstract: A data transmission method and an apparatus are provided and relate to the field of terminal technologies to improve data transmission performance in neighbor awareness networking. The method may be applied to a first electronic device when connected to a first cluster of a first network and includes determining that a to-be-sent data frame exists in a discovery window. The first electronic device attends to sending the to-be-sent data frame in the discovery window.

Abstract: A method of information processing includes displaying a running screen of a target virtual game in a first time unit, the target virtual game includes at least a first virtual character that is manipulated by an artificial intelligence (AI) object. The method also includes obtaining battle reference data associated with the running screen, the battle reference data includes battle data fed back by the first virtual character when the first virtual character participates in the target virtual game in the first time unit. The method also includes displaying execution prediction information of at least a to-be-executed candidate operation based on the battle reference data. Apparatus and non-transitory computer-readable storage medium counterpart embodiments are also contemplated.

Abstract: This application discloses a resource management method and a device. The method is applied to a domain including a primary device and a plurality of secondary devices, and a plurality of interconnected devices in the domain form a team. The method includes: The primary device receives channel score information from each secondary device, generates first RRM information based on the received channel score information and channel score information of the primary device, and sends the first RRM information to each secondary device. The first RRM information indicates a priority ranking of channels, and a higher priority of a channel indicates a lower degree of interference to the channel. The primary device may perform priority ranking on information based on channel interference information reported by each channel, and preferentially allocate, to each device, a channel with less interference based on the priority ranking of the channels.

Abstract: A chip detection device, a chip detection system and a control method. The chip detection device includes a support plate (100), a probe holder (110) disposed on an upper part of the support plate (100), a detection platform, and a first driving device (120) connected to the probe holder (110). The chip detection system includes a cabinet (600), which is internally provided with a chip detection device, a controller, a loading manipulator (910), an unloading manipulator (920), a chip tray bracket (700) disposed on a side of the loading manipulator (910), and a distribution tray (800) disposed on a side of the unloading manipulator (920). According to the chip detection device, the chip detection system and the control method, during the rotation of the turntable (200), the filling, detection and classification of the chips are all controlled to be automatically completed under the control of an automatic control program, which greatly improves the efficiency of the chip detection.

Abstract: A method of age and gender estimation, comprising receiving an input image, detecting a facial image within the input image, estimating a head pose based on a set of facial image intensities of the facial image, wherein the head pose is expressed as a yaw, a pitch and a roll, determining whether the yaw, the pitch and the roll of the head pose is less than a predetermined threshold, aligning the facial image if the yaw, the pitch and the roll of the head pose are less than the predetermined threshold and predicting an age and a gender of the aligned facial image.

Abstract: This application provides a communication method, a terminal device, and a storage medium. The communication method includes: A first terminal device performs a Wi-Fi P2P service in response to a first operation of a user, where the first terminal device uses a first channel to perform the Wi-Fi P2P service, and a bandwidth of the first channel is a maximum bandwidth supported by the first terminal device, and is 80 MHz or 160 MHz. When detecting that a signal-to-noise ratio and/or a channel load of the first channel meet a first preset condition, the first terminal device switches from the first channel to a second channel to perform the Wi-Fi P2P service, where a bandwidth of the second channel is 20 MHz or 40 MHz.

Abstract: A method of age and gender estimation, comprising receiving an input image, detecting a facial image within the input image, estimating a head pose based on a set of facial image intensities of the facial image, wherein the head pose is expressed as a yaw, a pitch and a roll, determining whether the yaw, the pitch and the roll of the head pose is less than a predetermined threshold, aligning the facial image if the yaw, the pitch and the roll of the head pose are less than the predetermined threshold and predicting an age and a gender of the aligned facial image.

Abstract: A chip detection device, a chip detection system and a control method. The chip detection device includes a support plate (100), a probe holder (110) disposed on an upper part of the support plate (100), a detection platform, and a first driving device (120) connected to the probe holder (110). The chip detection system includes a cabinet (600), which is internally provided with a chip detection device, a controller, a loading manipulator (910), an unloading manipulator (920), a chip tray bracket (700) disposed on a side of the loading manipulator (910), and a distribution tray (800) disposed on a side of the unloading manipulator (920). According to the chip detection device, the chip detection system and the control method, during the rotation of the turntable (200), the filling, detection and classification of the chips are all controlled to be automatically completed under the control of an automatic control program, which greatly improves the efficiency of the chip detection.

Abstract: The disclosed embodiments provide a system for processing data. During operation, the system obtains labels for entities found in portions of text in a first set of jobs. Next, the system inputs the portions of text and the labels as training data for a machine learning model. The system then applies the machine learning model to a second set of jobs to generate predictions of additional entities in additional portions of text in the second set of jobs. Finally, the system creates, based on the predictions, an index containing mappings of the additional entities to subsets of the second set of jobs in which the additional entities are found.

Abstract: Techniques for incorporating sequence encoders into machine-learned models where the sequence encoders operate on bag of words (BOW) input are provided. Tokens that are associated with online activities of an entity are identified. Machine-learned embeddings that correspond to the tokens are identified. Based on one or more ordering criteria that are independent of the temporal occurrence of the online activities of the entity, an order of the machine-learned embeddings is determined. Based on the order, the machine-learned embeddings are inputted to a sequence encoder that generates output. Based on the output, a machine learned model that includes the sequence encoder generates a score. A content item is selected based on the score. The content item is transmitted over a computer network to a computing device.

Abstract: Described herein is machine learning model comprising a neural network that is trained to generate a ranking score for an online job posting. The neural network takes as input a variety of input features, including at least a first input feature that is an encoded representation of a search query as generated by a first Transformer encoder, an encoded representation of a job title as generated by a second Transformer encoder, and an encoded representation of a company name as generated by a third Transformer encoder. Once a plurality of online job postings are ranked, some subset of the plurality are presented in a user interface, ordered based on their respective ranking scores.

Abstract: Hydrocarbon exploration and extraction can be facilitated using machine-learning models. For example, a system described herein can receive seismic data indicating locations of geological bodies in a target area of a subterranean formation. The system can provide the seismic data as input to a trained machine-learning model for determining whether the target area of the subterranean formation includes one or more types of geological bodies. The system can receive an output from the trained machine-learning model indicating whether or not the target area of the subterranean formation includes the one or more types of geological bodies. The system can then execute one or more processing operations for facilitating hydrocarbon exploration or extraction based on the seismic data and the output from the trained machine-learning model.

Abstract: The disclosed embodiments provide a system for performing sequence modeling for searches. During operation, the system obtains a sequence of jobs associated with activity by a member of an online system. Next, the system applies a word embedding model of a set of job histories to attributes of individual jobs in the sequence of jobs to produce embeddings for the individual jobs. The system then generates a set of power means from the embeddings. Finally, the system outputs the set of power means as an encoded representation of the sequence of jobs, wherein the set of power means is used in generating job recommendations related to the member.