Abstract: Embodiments of the present disclosure provide a sticker effect generation method and apparatus, an electronic device, and a storage medium. The method includes: displaying an obtained target face model; displaying a selected sticker on the target face model in response to a selection operation for a sticker; determining, in response to an edit operation for the sticker on the target face model, display parameter information about the sticker after the sticker is edited on the target face model, and rendering and displaying the sticker on the target face model based on the display parameter information and a type of the sticker; and generating a target sticker effect object based on the display parameter information about the sticker and the target face model in response to a release operation.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training an action selection neural network. One of the methods includes maintaining a replay memory that stores trajectories generated as a result of interaction of an agent with an environment; and training an action selection neural network having policy parameters on the trajectories in the replay memory, wherein training the action selection neural network comprises: sampling a trajectory from the replay memory; and adjusting current values of the policy parameters by training the action selection neural network on the trajectory using an off-policy actor critic reinforcement learning technique.

Abstract: An accelerator architecture is presented for a Transformer machine learning model. The accelerator is comprised of: one or more memory devices, each memory device has a random access memory and is configured for processing in memory, where a key matrix, a value matrix, a query weight matrix, a key weight matrix, and a value weight matrix for an attention mechanism of the Transformer machine learning model are stored in the one or more memory devices; and a control device interfaced with each of the one or more memory devices, the control device is used to coordinate the vector matrix multiplication operations performed on the memory devices, perform other arithmetic and logic operations used in attention blocks that are not suited for the memory devices, and coordinate the updates of the key and value matrices in the one or more memory devices.

Abstract: A device for generating laser with ultra-narrow-linewidth includes an optical self-injection locking loop and an ultra-stable cavity phase-locked loop. The optical self-injection locking loop improves the quality factor of the laser resonator to narrow the linewidth. The ultra-stable cavity phase-locked loop locks the phase of the optical signal in the optical self-injection, synchronizing the laser frequency with the optical resonator. Through feedback control of the laser's driving current, it further reduces the laser's frequency noise and enhances the linewidth narrowing rate. Additionally, the ultra-stable cavity phase-locked loop provides stable control of the laser frequency, preventing mode hopping caused by laser frequency drift, thereby improving system stability. Therefore, this device can provide a stable narrow-linewidth laser source for applications in fiber optic communication, lidar, industrial device processing, and medical fields.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training an action selection neural network. One of the methods includes maintaining a replay memory that stores trajectories generated as a result of interaction of an agent with an environment; and training an action selection neural network having policy parameters on the trajectories in the replay memory, wherein training the action selection neural network comprises: sampling a trajectory from the replay memory; and adjusting current values of the policy parameters by training the action selection neural network on the trajectory using an off-policy actor critic reinforcement learning technique.

Abstract: The present disclosure provides an interaction event response method and apparatus, an electronic device and a storage medium.

Abstract: An image sensor includes a pixel array, and the pixel array includes a first number of first pixel units and a second number of second pixel units, where the first pixel unit includes photosensitive elements stacked and configured to acquire photo signals of at least two colors. The second pixel unit includes photosensitive elements configured to acquire photo signals of a single color.

Abstract: A ferroelectric film phase shifter includes a substrate layer; an isolated signal layer located on the substrate layer; first, second and third top transmission line electrodes distributed on the isolated signal layer at intervals; the first and second top transmission line electrodes located at both ends of the isolated signal layer, and the third top transmission line electrode located on a middle region of the isolated signal layer; a bottom transmission line electrode located in the isolated signal layer; an intermediate transmission line structure located in a middle region of the bottom transmission line electrode and adjacent to the third top transmission line electrode; MIM hafnium oxide-based ferroelectric capacitor structures located at two ends of the bottom transmission line electrode; and metal transmission line structures located between each MIM hafnium oxide-based ferroelectric capacitor structure and each of the first top transmission line electrode and the second top transmission line electr

Abstract: A system may instantiate a virtual whiteboard during a video conference controlled by a host device. The whiteboard may include a first page configured to output first visual content and a second page configured to output second visual content to displays of participant devices connected to the video conference. The system may move the first page to a first breakout room associated with the video conference and the second page to a second breakout room associated with the video conference. Access to the first page within the first breakout room may be limited to a first group of one or more of the participant devices connected to the first breakout room and the host device. Access to the second page within the second breakout room may be limited to a second group of one or more of the participant devices connected to the second breakout room and the host device.

Abstract: A thermoelectric array display and a manufacturing method thereof are provided. The thermoelectric array display includes at least a first pixel, where the first pixel includes a bottom electrode, a P-type thermoelectric leg, an N-type thermoelectric leg, and a top electrode; the P-type thermoelectric leg is arranged on the bottom electrode; and the P-type thermoelectric leg is connected in series to the N-type thermoelectric leg by the top electrode. The thermoelectric array display has strong concealment of information transmission, can effectively reduce heat generation of a device, and can implement long-distance signal transmission.

Abstract: A system may instantiate a virtual whiteboard during a video conference controlled by a host device. The whiteboard may include a first page configured to output first visual content and a second page configured to output second visual content to displays of participant devices connected to the video conference. The system may move the first page to a first breakout room associated with the video conference and the second page to a second breakout room associated with the video conference. Access to the first page within the first breakout room may be limited to a first group of one or more of the participant devices connected to the first breakout room and the host device. Access to the second page within the second breakout room may be limited to a second group of one or more of the participant devices connected to the second breakout room and the host device.

Abstract: The present invention discloses a method for preparing an ibuprofen spherical crystal having high bulk density and a product thereof. The method includes: (1) heating ibuprofen until a molten liquid state is reached; and (2) pressurizing the molten liquid state of ibuprofen, dropping the molten liquid state of ibuprofen into a crystallizer filled with water through a liquid distributor for crystallization under stirring conditions until the molten liquid state of ibuprofen is completely dropped, lowering the rotation speed of stirring to allow crystal growing, and finally, subjecting a resulting crystal slurry to post-treatment to obtain the ibuprofen spherical crystal having high bulk density. The ibuprofen spherical crystal has a bulk density of 0.50-0.70 g/mL, a tap density of 0.63-0.89 g/mL, a median particle size of 300-1,000 ?m and an angle of repose of 22-29°.

Abstract: Disclosed are a silicon nitride ceramic sintered body and preparation method thereof. The silicon nitride ceramic sintered body includes a sintered bulk and a hard surface layer having a thickness of 10-1000 ?m, formed on a surface of the sintered bulk, wherein the sintered bulk comprises a first silicon nitride crystalline phase and a first grain boundary phase; the hard surface layer comprises a second silicon nitride crystalline phase and a second grain boundary phase; the first grain boundary phase comprises a metal tungsten phase being tungsten elementary substance and/or a tungsten alloy; the second grain boundary phase comprises tungsten carbide particles; tungsten element in the metal tungsten phase accounts for 80-100 wt % of total tungsten element in the first grain boundary phase; and tungsten element in the tungsten carbide particles accounts for 60-100 wt % of total tungsten element in the second grain boundary phase.

Abstract: Disclosed are a silicon nitride ceramic sintered body and a-preparation method thereof. The silicon nitride ceramic sintered body includes a sintered bulk and a hard surface layer having a thickness of 10-1000 ?m, formed on a surface of the sintered bulk, wherein the sintered bulk comprises a first silicon nitride crystalline phase and a first grain boundary phase; the hard surface layer comprises a second silicon nitride crystalline phase and a second grain boundary phase; the first grain boundary phase comprises a metal tungsten phase being tungsten elementary substance and/or a tungsten alloy; the second grain boundary phase comprises tungsten carbide particles; tungsten element in the metal tungsten phase accounts for 80-100 wt % of total tungsten element in the first grain boundary phase; and tungsten element in the tungsten carbide particles accounts for 60-100 wt % of total tungsten element in the second grain boundary phase.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for data-driven robotic control. One of the methods includes maintaining robot experience data; obtaining annotation data; training, on the annotation data, a reward model; generating task-specific training data for the particular task, comprising, for each experience in a second subset of the experiences in the robot experience data: processing the observation in the experience using the trained reward model to generate a reward prediction, and associating the reward prediction with the experience; and training a policy neural network on the task-specific training data for the particular task, wherein the policy neural network is configured to receive a network input comprising an observation and to generate a policy output that defines a control policy for a robot performing the particular task.

Abstract: Disclosed are a silicon nitride ceramic sintered body and a preparation method thereof. The silicon nitride ceramic sintered body has a content of a silicon nitride crystalline phase of not less than 98 wt %, a relative density of not less than 99%, a porosity of not larger than 1%, a grain boundary phase including Li, O, N, and Si elements, and a total content of C, F, Al, Mg, K, Ca, Na and rare-earth metals elements of less than 0.1 wt %.

Abstract: A neural network control system for controlling an agent to perform a task in a real-world environment, operates based on both image data and proprioceptive data describing the configuration of the agent. The training of the control system includes both imitation learning, using datasets generated from previous performances of the task, and reinforcement learning, based on rewards calculated from control data output by the control system.

Abstract: A method of generating an output image having an output resolution of N pixels×N pixels, each pixel in the output image having a respective color value for each of a plurality of color channels, the method comprising: obtaining a low-resolution version of the output image; and upscaling the low-resolution version of the output image to generate the output image having the output resolution by repeatedly performing the following operations: obtaining a current version of the output image having a current K×K resolution; and processing the current version of the output image using a set of convolutional neural networks that are specific to the current resolution to generate an updated version of the output image having a 2K×2K resolution.