Abstract: A computer-implemented method of calibrating a trained classification model. The trained classification model is trained to classify input samples according to a plurality of classes and to provide associated prediction probabilities, and includes a plurality of hidden layers and at least one activation layer. The method includes accessing the trained classification model and accessing a plurality of validation samples, each validation sample having a ground-truth label, the ground-truth label indicating a ground-truth class. The method further includes applying the trained classification model to the plurality of validation samples, obtaining, for each validation sample, an output logit vector from a layer of the trained classification model preceding a last activation layer, and training a calibration module. The calibration module is trained to adjust prediction probabilities, the prediction probabilities being derived from the output logit vectors.

Abstract: A preparation method of a monometallic or bimetallic nanoparticle-supported catalyst is disclosed. The synthesis of metal nanoparticles with different shapes, sizes, and atomic structures is affected by nucleation and growth rates. By changing a ratio of strong and weak reducing agents, a suitable double reducing agent is provided for metal nanoparticles with different reduction potentials, where the strong reducing agent is used for rapid nucleation and the weak reducing agent is used for the growth of metal nanoparticles. Accordingly, modulation and control of the nucleation and growth rates can be realized during the synthesis of nanoparticles. In addition, through multiple actions of a combination of reducing agents with different reduction intensities, monometallic/bimetallic nanoparticles of different sizes, shapes, and atomic structures are controllably prepared, which are then supported with a carrier to obtain the monometallic or bimetallic nanoparticle-supported catalyst.

Abstract: A generative adversarial network. The generative adversarial network includes: a generator configured for generating an image and a corresponding label map; a discriminator configured for determining a classification of a provided image and a provided label map, wherein the classification characterizes whether the provided image and the provided label map have been generated by the generator or not and determining the classification comprises the steps of: determining a first feature map of the provided image; masking the first feature map according to the provided label map thereby determining a masked feature map; globally pooling the masked feature map thereby determining a feature representation of the provided image masked by the provided label map; determining a classification of the image based on the feature representation.

Abstract: A Boltzmann-based method for simulating a CVI densification process of a composite material is provided. Phase space occupancy is provided in the method, such that a geometrical model can be presented by using the concept of a matrix, and components of a space are distinguished; and a phase space occupancy matrix can directly participate in operation, which is equivalent to a natural division of grids and boundaries, and the boundaries are presented by a phase parameter, which is a natural capturing process. Flow field calculation of the method uses virtual time step calculation, such that a boundary condition can be written in a unified form, thereby improving the programmability.

Abstract: A dual ion filter is arranged between upper and lower chambers of a substrate processing system. The dual ion filter includes upper and lower filters. The upper filter includes a first plurality of through holes configured to filter ions from a plasma in the upper chamber. The lower filter includes a second plurality of through holes configured to control plasma uniformity in the lower chamber. A diameter of the first plurality of through holes of the upper filter is less than a diameter of the second plurality of through holes of the lower filter. A number of the first plurality of through holes of the upper filter is greater than a number of the second plurality of through holes of the lower filter.

Abstract: A semiconductor processing apparatus and a method, comprising: positioning a second chamber at an open position relative to a first chamber; positioning a semiconductor wafer to be processed between the first chamber and the second chamber; positioning the second chamber at a closed position relative to the first chamber; introducing an etching mixed gas into a sealed channel, wherein the etching mixed gas etches a partial surface of the semiconductor wafer, followed by discharging exhaust gas from the sealed channel; introducing a predetermined amount of extraction liquid into the sealed channel, wherein the extraction liquid is driven to flow through the sealed channel until exiting the sealed channel to extract metal contaminants. This method significantly reduces chemical consumption while improving etching depth precision, extraction solution control, etching uniformity, and surface roughness.

Abstract: In a communication between a user equipment (UE) and a network node, the UE may receive a grant of uplink (UL) shared channel (SCH) resources from the network node. Each of the UL SCH resources may be associated with one of a plurality of hybrid automatic repeat request (HARQ) processes. Each HARQ process may be at least one of a plurality of HARQ process types, and each HARQ process type may be based on HARQ feedback status and HARQ retransmission status. The UE may transmit a control message on one or more UL SCH resources in response to the one or more UL SCH resources being determined to be usable based on the HARQ process type of the HARQ processes associated with the one or more of the UL SCH resources.

Abstract: Embodiments of this application provide a communication method and apparatus, a computer-readable medium, and an electronic device. The communication method includes: generating a first message frame, the first message frame including group indication information of an access device, and the group indication information being configured for indicating information about a device group that performs data transmission after a transmission of the first message frame and the device group including one or more access devices; and transmitting the first message frame to the device group, to trigger the one or more access devices in the device group indicated by the group indication information to perform the data transmission.

Abstract: Methods, systems, and devices for wireless communications are described. A user equipment (UE), such as a vehicle that is enabled with radar detection and ranging, may include multiple radars or radar components and may receive, at a first radar, a first radar waveform in a field of view (FOV) associated with the first radar. The UE may determine a trajectory of the target object which may indicate the target object entering a FOV of a second radar. The UE may receive, at the second radar, a second radar waveform in the FOV of the second radar and may associate the second radar waveform with the target object based on the trajectory of the target object and the second radar waveform being in the FOV of the second radar.

Abstract: According to one embodiment, a method, computer system, and computer program product for adjusting an audible area of an avatar's voice is provided. The present invention may include receiving, at a microphone, a source audio; creating a received audio; calculating, by a generative model, a voice propagation distance of a user based on the source audio, the received audio, and a templated text sentence describing a category of a mixed reality environment experienced by the user; drawing a virtual circle within the mixed reality environment centered on a user avatar representing the user and with a radius equal to the voice propagation distance; and transmitting the source audio to one or more participants within the mixed-reality environment represented by one or more participant avatars located within the virtual circle.

Abstract: In an approach to improve the privacy of chat groups within a virtual world, embodiments of the present invention expand a chat area of a chat group to form an experience annulus according to predetermined distance that a voice volume of private-chat-group member can propagate. Responsive to identifying an external user is interested in the chat group, embodiments generate and set a current topic representing a conversation in the chat group as an externally hearable topic that is perceivable by the external user and generate a faux multi-person conversation associated with the externally hearable topic that corresponds to a real conversation made by members in the chat group. Further, embodiments assign the faux utterances to chat group members based on a corresponding speaker index and utilize one or more corresponding avatars of the chat group members to present the faux utterances to the external user.

Abstract: A method for training a generator for images from a semantic map that assigns to each pixel of the image a semantic meaning of an object to which this pixel belongs. The images generated by the generator and the at least one real training image that belong to the same semantic training map are supplied to a discriminator. The discriminator ascertains a semantic segmentation of the image assigned to it, the segmentation assigning a semantic meaning to each pixel of this image. From the semantic segmentation ascertained by the discriminator, it is evaluated whether the image supplied to the discriminator is a generated image or a real training image.

Abstract: Systems and methods for predictive coordination of ego radar and interferer radar parameters are disclosed. In some aspects, a processor associated with a first radar system transmitting a first radar waveform to detect a target may identify a presence of a second radar system transmitting a second radar waveform in a vicinity of the first radar system. The processor may further predict an upcoming interference by the second radar waveform of the detection of the target by the first radar system. In addition, the processor may, in response to the predicting the upcoming interference, determine an adjustment to a first parameter of the first radar waveform and/or to a second parameter of the second radar waveform.

Abstract: Several designs of a gas distribution device for a substrate processing system are provided. The gas distribution device includes a dual plenum showerhead. Additionally, designs for a light blocking structure used with the showerheads are also provided.

Abstract: Several designs of a gas distribution device for a substrate processing system are provided. The gas distribution device includes a dual plenum showerhead. Additionally, designs for a light blocking structure used with the showerheads are also provided.

Abstract: A method for predicting the performance of a given classifier with respect to one or more given samples of input data. The method includes: providing further classifiers that, together with the given classifier f*, form a set F of classifiers f; computing, for the x, using each classifier f from the set F, classification scores fk(x) with respect to all available classes k=1, . . . , K covered by the classifiers; determining, for pairs (f,f?) of classifiers f and f? from the set F, divergences of the classification scores fk(x) and f?k(x) for all k=1, . . . , K as pairwise divergences dis(f,f?,x) of the classifiers f and f? with respect to the one or more samples x; and determining the performance P(f*,x) of the classifier f* with respect to the one or more samples x based at least in part on pairwise divergences dis(f*,f?,x) between the classifier f* and other classifiers f?.

Abstract: A device and a computer-implemented method for machine learning. The method includes: providing a latent variable of a diffusion model representing the synthetic digital image, wherein providing the latent variable comprises sampling the latent variable from random noise, or providing a digital reference image, and adding noise with the diffusion model to the digital reference image to determine the latent variable, or mapping the digital reference image with an encoder to an input of the diffusion model, and adding noise with the diffusion model to the input to determine the latent variable, mapping the latent variable with the diffusion model depending on parameters of the diffusion model to features of the diffusion model, mapping the features with the diffusion model depending on parameters of the diffusion model to an output of the diffusion model.

Abstract: A computer-implemented method for determining a first element and a second element. The first element characterizes a classification or a regression result of a sensor signal, and the second element characterizes a confidence interval of likely classifications or regression results. The first element and second element are determined by an early-exit neural network.

Abstract: Embodiments of the present disclosure provide a drift optimization system for a vehicle-mounted machine based on a global positioning system (GPS). The system comprises a vehicular sensor, a camera unit, a GPS receiver, a memory, and a processor of a current vehicle. The processor is configured to set a datum point; determine a classification result of a GPS position by judging each GPS position in a GPS position sequence acquired from a GPS receiver during a preset time period; send a first command in response to the GPS position being a secure GPS position; and reset the datum point in response to the GPS position being an abnormal GPS position and first N1-1 GPS positions prior to the GPS position in the GPS position sequence being abnormal GPS positions.