Abstract: The present disclosure provides a three-dimensional memory device and a manufacturing method thereof, the three-dimensional memory device including: a plurality of stacked layers; a storage channel structure vertically penetrating the stacked layers and comprising a first channel layer; a select gate structure on the plurality of stacked layers; and a select channel structure vertically penetrating the select gate structure and comprising a second channel layer; wherein an outer sidewall of the second channel layer is in contact with an inner sidewall of the first channel layer.

Abstract: The present disclosure provides a three-dimensional memory comprising: a storage channel structure vertically penetrating a plurality of stacked layers and comprising a first channel layer; a select gate structure on the plurality of stacked layers; and a select channel structure vertically penetrating the select gate structure and comprising: a block layer in contact with the select gate structure, an insulating layer covering the block layer, and a second channel layer in contact with the insulating layer and the first channel layer.

Abstract: The present disclosure provides a three-dimensional memory device and a manufacturing method thereof. The three-dimensional memory device comprises: a plurality of stacked layers; a storage channel structure vertically penetrating the stacked layers and comprising a first channel layer; a select gate structure on the plurality of stacked layers and comprising a conductive layer sandwiched between two dielectric layers; and a select channel structure vertically penetrating the select gate structure and comprising a second channel layer.

Abstract: Provided by the present application are a method and a device for constructing integrated space-terrestrial network, the method including: obtaining a target constellation and standardizing a relative motion between each target satellite in the target constellation and earth's surface according to a principle of making a satellite running in a recursive earth-repeat orbit have fixed satellite subpoint trajectories; obtaining a recursively extended topological structure according to the target constellation; according to the extended topological structure, dividing geographical cells and obtaining a mapping relationship between the geographical cells and the satellite subpoint trajectories to facilitate network addressing and networking management based on geographical location; and performing, based on a deployment rule, a recursive incremental deployment according to the extended satellite network topological structure, and realizing integrated space-terrestrial network.

Abstract: According to an aspect of the disclosure, a semiconductor device is provided. The semiconductor device includes a stack structure that includes alternating insulating layers and word line layers. The semiconductor device also includes a first channel structure extending through the stack structure, a first top select gate (TSG) layer over the stack structure, and a second TSG layer over the first TSG layer. The semiconductor device further includes a second channel structure extending through the first and second TSG layers, where the second channel structure is positioned over and coupled to the first channel structure.

Abstract: The present disclosure discloses a video interaction method and apparatus, an electronic device, and a storage medium. The video interaction method comprises: in response to a recommended video of a target object being played to a first time node, displaying an interactive window at a preset position on a video playback page and continuing playing the recommended video; receiving an object determination operation acting in the interactive window; displaying first object information of an object to be collected in the interactive window, wherein the object to be collected is related to the target object; receiving a collection operation for the object to be collected; and displaying a target page for a user to collect the object to be collected.

Abstract: A computer-implemented method includes: initializing model parameters for training a neural network; performing a forward pass and backpropagation for a first minibatch of training data; determining a new weight value for each of a plurality of nodes of the neural network using a gradient descent of the first minibatch; for each determined new weight value, determining whether to update a running mean corresponding to a weight of a particular node; based on a determination to update the running mean, calculating a new mean weight value for the particular node using the determined new weight value; updating the weight parameters for all nodes based on the calculated new mean weight values corresponding to each node; assigning the running mean as the weight for the particular node when training on the first minibatch is completed; and reinitializing running means for all nodes at a start of training a second minibatch.

Abstract: Methods and apparatuses are provided for movie and television series video data analysis. The method includes: gathering and reading, by a processor, a plurality of input movies; removing a video border of each input movie; splitting the input movie into short clips, based on accuracy and efficiency requirements of different analyzing models; assessing attributes of each input movie by analyzing, with the different analyzing models, the input movie, the short clips cut from the input movie, and the frame images extracted from the input movie; and summarizing the plurality of input movies based on matching and integrating the attributes assessed for each input movie.

Abstract: Methods and apparatuses are provided for movie and television series video data analysis. The method includes: gathering and reading, by a processor, a plurality of input movies; removing a video border of each input movie; splitting the input movie into short clips, based on accuracy and efficiency requirements of different analyzing models; assessing attributes of each input movie by analyzing, with the different analyzing models, the input movie, the short clips cut from the input movie, and the frame images extracted from the input movie; and summarizing the plurality of input movies based on matching and integrating the attributes assessed for each input movie.

Abstract: Methods and apparatuses are provided for editing and generating a short video based upon a long video. The method includes: obtaining a plurality of short source video clips as candidate video clips; obtaining attributes of each short source video clip; obtaining a plurality of target base videos according to a target genre, processing the plurality of target base videos by splitting each target base video into a plurality of short target base video clips, and obtaining attributes of each short target base video clip; selecting short target video clips from the plurality of short source video clips, based on distribution of the attributes obtained for the plurality of the short source video clips and the plurality of short target base video clips; and editing and combining the short target video clips selected from the plurality of short source video clips, to obtain a target video.

Abstract: The three-dimensional memory includes a stack structure which includes: a first stack and a second stack, the first stack including control gate layers and first dielectric layers which are stacked alternately, the second stack including top select gate layers and second dielectric layers which are stacked alternately in the same stacking direction; a plurality of channel structures which run though the stack structure and include charge storage layers, the charge storage layers including a plurality of charge storage portions disposed discontinuously in the stacking direction, the charge storage portions being disposed between the adjacent first dielectric layers; and at least one isolation structure which runs through the top select gate layers and is located between the adjacent channel structures.

Abstract: A style picture generating method, an apparatus and a non-transitory computer readable storage medium thereof are provided. The method includes: obtaining one or more models by training a neural network; obtaining a plurality of interpolated models based on the one or more models; generating a plurality of pictures by the plurality of interpolated models; and generating the style picture by combining two or more pictures in the plurality of pictures using one or more model-specific alpha masks.

Abstract: Systems and methods are provided for generating topologically consistent meshes across various subjects, objects, and/or various facial expressions using a volumetric representation. In one example, a progressive mesh generation network is configured to embed the topological structure of a subject or an object in a feature volume sampled from a geometry-aware local features. Further, a coarse-to-fine iterative architecture facilitates dense and accurate facial mesh predictions using a consistent mesh topology. In another example, one or more high-quality asset maps may be generated from a final base mesh.

Abstract: Systems and methods for image registration and self-localization for onsite and offsite viewing are provided. In one aspect, systems and methods for spherical image based registration and self-localization for onsite and offsite viewing, such as augmented reality viewing and virtual reality viewing, are provided. In one embodiment, a system includes a portable electric device fitted with a device camera, an external omnidirectional spherical camera, and a remote server. In one embodiment, a method of use employs a set of fiducial markers inserted in images collected by a spherical camera to perform image registration of spherical camera images and device camera images.

Abstract: A neural network system, comprising: instructions for implementing at least a SWBN layer in a neural network, and wherein the instructions perform operations comprising: during training of the neural network system on a plurality of batches of training data and for each of the plurality of batches: obtaining a respective first layer output for each of the plurality of training data; determining a plurality of normalization statistics for the batch from the first layer outputs; generating a respective normalized output for each training data in the batch; updating the whitening matrix by a covariance matrix; performing stochastic whitening on the normalized components of each first layer output; transforming the whitened data for each training data; generating a respective SWBN layer output for each of the training data from the transformed whitened data for each training data in the batch; and providing the SWBN layer output.

Abstract: A pet house accessory with functions of air purification, sterilization and temperature regulation, including a shell, a mounting plate, a thermal conduction device, a semiconductor refrigeration sheet and a sterilization device, wherein a heat dissipating hole is arranged at the center of the bottom of the shell, the thermal conduction device is arranged at the center of the bottom of the mounting plate, the semiconductor refrigeration sheet is fixedly installed at the bottom of the thermal conduction device, and a through hole is defined inside the thermal conduction device. The pet house accessory with functions of air purification, sterilization and temperature regulation provided by the present disclosure is capable of cooling and heating by controlling the semiconductor refrigeration sheet through the control switch to cool down and warm the pet house, and is convenient for pets to live.