Abstract: Headphone providing fully natural interface are described. According to one aspect of such headphones, the headphones comprises a microphone configured for capturing an ambient sound, a speaker configured for playing audio signals, a command interface configured for receiving one or more external control commands, and a control unit having an ambient sound monitoring function. The control unit captures the ambient sound through the microphone, and automatically causes the headphones to enter an interactive mode when a preset interested sound is detected to appear in the ambient sound. The control unit controls the headphones to output an interactive reminder in the interactive mode, and the interactive reminder comprises one or more of visual reminders, a tactile reminder and an auditory reminder. Thus, interaction between the user and the ambience can be realized in a fully natural interface manner according to user preferences.

Abstract: A method includes acquiring magnetic resonance imaging (MRI) data with multi-coil dimensions, compressing the coil dimensions to a fixed and predetermined number of virtual coils, and utilizing the fixed and predetermined number of virtual coils by an artificial intelligence engine for artificial intelligence applications.

Abstract: The present invention provides a method and apparatus for analyzing a semiconductor wafer for analyzing a defect distribution pattern on a semiconductor wafer to be tested. The method comprises: obtaining a defect distribution map of the semiconductor wafer to be tested, the defect distribution map indicating a defect distribution within a surface of the semiconductor wafer to be tested; establishing a three-dimensional model to be tested according to the defect distribution map, wherein an XY plane of the three-dimensional model to be tested corresponds to the surface of the semiconductor wafer to be tested, and a Z-axis of the three-dimensional model to be tested corresponds to the number of defects in each grid unit in the XY plane.

Abstract: An apparatus for magnetic resonance imaging (MRI) image reconstruction is provided. The apparatus accesses a training set of MRI data for training. The training set can include paired fully sampled data or unpaired fully sampled data. Undersampled MRI data is optimized in an MRI data optimization module to generate reconstructed MRI data. The apparatus builds a discriminative model using the training set and the reconstructed MRI data. During inference, the parameters of the discriminator model are fixed and the discriminator model is used to classify an output of the MRI data optimization model as the reconstructed MRI image.

Abstract: A method includes acquiring MRI data, using an algorithm to predict cardiac cycles from the acquired MRI data, and operating on sections of the acquired MRI data corresponding to selected portions of the predicted cardiac cycles.

Abstract: A computer-implemented method for access path optimization is provided according to embodiments of the present disclosure. In the method, a plurality of real values of an access path factor may be collected during a specified time period. One of the real values may be generated when a query is executed on a first access path. Then, at least one second access path may be generated for the query based on the plurality of real values of the access path factor. Moreover, an optimal access path for the query may be identified from the first access path and the at least one second access path.

Abstract: This application relates to the field of artificial intelligence. A dialog interaction method, a graphical user interface, a terminal device, and a network device are provided in this application. The disclosed terminal device displays a dialog view in a first region of a target dialog user interface, and displays a conceptual view in a second region of the target dialog user interface. The dialog view is used to display dialog data of the target dialog. The conceptual view is used to display a knowledge subgraph corresponding to the target dialog. The knowledge subgraph includes a plurality of semantic entities and a semantic relationship between semantic entities in the plurality of semantic entities. The plurality of semantic entities include a first semantic entity. The first semantic entity is a semantic entity existing in the dialog data. The technical solution can improve dialog interaction experience of a user.

Abstract: Embodiments of the present disclosure provide a method, an electronic device and a computer-readable medium for managing metadata. The method disclosed herein comprises: obtaining a check marker from a remote device; determining whether the check marker indicates that user data and metadata have been backed up in the remote device, the user data and the metadata being generated by an operation executed by a user on an object; and in response to the check marker indicating that the user data and the metadata have been backed up in the remote device, marking the metadata as removable metadata. In this way, the embodiments of the present disclosure can improve garbage collection efficiency of a storage system and execution efficiency of a metadata integration task.

Abstract: Metadata is replicated. For instance, in response to receiving a request for replicating metadata to a target node, information of an index structure associated with the metadata is obtained. The index structure may include terminal nodes for storing the metadata and index nodes for storing index information of the terminal nodes. Next, the metadata from the terminal nodes is extracted based on the information of the index structure. Further, a sequence is generated to be replicated of the metadata. The sequence to be replicated includes items of the metadata, and locations of the items in the sequence to be replicated are determined based on key information corresponding to the items. In addition, the items of the metadata, in the sequence to be replicated, are replicated to the target node. In this way, only the metadata in the index structure is replicated, thereby reducing the data amount of replication.

Abstract: Described herein are neural network-based systems, methods and instrumentalities associated with estimating the motion of an anatomical structure. The motion estimation may be performed utilizing pre-learned knowledge of the anatomy of the anatomical structure. The anatomical knowledge may be learned via a variational autoencoder, which may then be used to optimize the parameters of a motion estimation neural network system such that, when performing motion estimation for the anatomical structure, the motion estimation neural network system may produce results that conform with the underlying anatomy of anatomical structure.

Abstract: Described herein are neural network-based systems, methods and instrumentalities associated with image segmentation that may be implementing using an encoder neural network and a decoder neural network. The encoder network may be configured to receive a medical image comprising a visual representation of an anatomical structure and generate a latent representation of the medical image indicating a plurality of features of the medical image. The latent representation may be used by the decoder network to generate a mask for segmenting the anatomical structure from the medical image. The decoder network may be pre-trained to learn a shape prior associated with the anatomical structure and once trained, the decoder network may be used to constrain an output of the encoder network during training of the encoder network.

Abstract: Provided is a user side load response method based on adjustment and control on temperature of load clusters. The user side load response method includes: performing thermodynamic modeling on a temperature control load to obtain a temperature control model in direct load control; constructing a mapping quantity to describe the change state of a temperature control load relay switch; obtaining adjustable capacity of the temperature control load through the mapping quantity; introducing temperature control load clusters to solve the problem that control precision cannot satisfy condition requirements; and finally calculating the influence of each load cluster in different load cluster control schemes on comfort degree.

Abstract: The disclosure relates to a method of assisting live streaming and an electronic device. The method includes: acquiring first attribute information of a target live room, where the first attribute information is attribute information related to historical activities of the target live room; training a preset initial streamer portrait model based on the first attribute information to obtain a streamer portrait model; and assisting a streamer of the target live room in doing the live stream based on the streamer portrait model.

Abstract: A query including at least a first part and a second part can be received by an electronic system. The first part of the query can indicate to access at least a first database table and a second database table to generate an intermediate result. The second part of the query can indicate to perform a sort operation on the intermediate result with respect to columns across the first database table and the second database table to produce a final result. The method further includes building execution plans for generating the intermediate result according to the first part, where the intermediate result is to be used as the final result without building an execution plan for performing the sort operation.

Abstract: Embodiments of the present application provide a file processing method, a file processing device, an electronic apparatus, and a readable storage medium. The method comprises: receiving an operation request for a file, the file comprising at least two sub-files separately stored in at least two equipments; and correspondingly processing at least one sub-file of the file according to the operation request. By the solutions provided in the embodiments of the present application, since at least two sub-files of a file are separately stored in at least two equipments, original contents of the file cannot be obtained even if a sub-file in one equipment is leaked. By the solutions provided in the embodiments of the present application, the security of files can be effectively improved.

Abstract: Embodiments of the present disclosure provide a method for accessing a network by a user equipment (UE), and an access device. The method includes: sending, by a source side access device, an access indication message to a UE, where the access indication message is used to instruct the UE to access a target side access device; or sending, by a source side access device, a first notification message to a target side access device, where the first notification message is used to instruct the target side access device to send, to a UE, access information used to instruct the UE to access the target side access device; and in a process in which the UE accesses the target side access device, maintains a connection between the UE and the source side access device.

Abstract: An approach is provided for evaluating a performance of a query. A risk of selecting a low performance access path for a query is determined. The risk is determined to exceed a risk threshold. Based on the risk exceeding the risk threshold and using a machine learning optimizer, first costs of access paths for the query are determined. Using a cost-based database optimizer, second costs of the access paths are determined. Using a strong classifier operating on the first costs and the second costs, a final access path for the query is selected from the access paths.

Abstract: An organic electroluminescent material is disclosed. The organic electroluminescent material is novel dehydro-fused-ring compounds with a structure of B(A)2, which may be used as charge transporting materials, charge injection materials, and the like in organic electroluminescent devices. Such novel compounds have very deep LUMO energy level, so they are excellent electron acceptor materials and charge transfer materials. They also have the potential to be excellent hole injection materials and p-dopant materials, and have broad industrial application prospects. An electroluminescent device and a compound formulation are also disclosed.

Abstract: For k-space trajectory infidelity correction, a model is machine trained to correct k-space measurements in k-space. K-space trajectory infidelity correction uses deep learning. Trajectory infidelity is corrected from a k-space point of view. Since the image artifacts arise from k-space acquisition distortion, a machine learning model is trained to correct in k-space, either changing values of k-space measurements or estimating the trajectory shifts in k-space.

Abstract: Described herein are neural network-based systems, methods and instrumentalities associated with cardiac assessment. An apparatus as described herein may obtain electrocardiographic imaging (ECGI) information associated with a human heart and magnetic resonance imaging (MRI) information associated with the human heart, and integrate the ECGI and MRI information using a machine-learned model. Using the integrated ECGI and MRI information, the apparatus may predict target ablation sites, estimate electrophysiology (EP) measurements, and/or simulate the electrical system of the human heart.