Abstract: A computer-implemented method for suppressing noise from audio signal uses both statistical noise estimation and neural network noise estimation to achieve more desirable noise reduction. The method is performed by a noise suppression computer software application running on an electronic device. The noise suppression computer software application first transforms the speech signal in time domain into frequency domain before determining a statistical noise estimate and a neural network noise estimate. The noise suppression computer software application merges the two noise estimates to derive a final noise estimate, and determines and refines a noise suppression filter. The filter is applied to the speech signal in frequency domain to obtain an enhanced signal. The enhanced signal is transformed back into time domain.

Abstract: An apparatus comprising an interface, a light projector and a processor. The interface may be configured to receive pixel data. The light projector may be configured to generate a structured light pattern. The processor may be configured to process the pixel data arranged as video frames and generate disparity and depth maps. The processor may comprise convolutional neural network hardware that may arrange reference images into a tensor, perform logical operations on one of the video frames in a depth direction of the tensor to generate a tensor of feature maps of the video frames, use a convolution to reduce an amount of calculations performed in the depth direction of the tensor of feature maps, perform convolution filtering on the tensor of the feature maps, determine an index map location, and search lookup data based on the index map location to determine the disparity and depth maps.

Abstract: An apparatus comprises an interface and a processor. The interface may be configured to receive pixel data.

Abstract: Provided are an antigen-binding polypeptide binding to CD47 or an antigen-binding portion thereof, nucleic acids encoding the polypeptide, vector, cell or pharmaceutical composition. The polypeptide can reduce a tumor or inhibit the growth of tumor cells, treat cancer, promote macrophage phagocytosis, and the like.

Abstract: An anti-IL-36R antibody and a use thereof, in particular, a mouse, chimeric or humanized antibody or an antigen-binding fragment thereof binding to IL-36R; a nucleic acid molecule encoding the antibody or the antigen-binding fragment thereof, as well as an expression vector and host cell used to express the antibody or the antigen-binding fragment thereof. In addition, a preparation method and a use of the antibody or the antigen-binding fragment thereof, including treatment and prevention of IL-36/IL-36R-mediated diseases and disorders.

Abstract: An apparatus comprising an interface, a light projector and a processor. The interface may be configured to receive pixel data. The light projector may be configured to generate a structured light pattern. The processor may be configured to process the pixel data arranged as video frames and generate disparity and depth maps. The processor may comprise convolutional neural network hardware that may arrange reference images into a tensor, perform logical operations on one of the video frames in a depth direction of the tensor to generate a tensor of feature maps of the video frames, use a convolution to reduce an amount of calculations performed in the depth direction of the tensor of feature maps, perform convolution filtering on the tensor of the feature maps, determine an index map location, and search lookup data based on the index map location to determine the disparity and depth maps.

Abstract: Provided is a bispecific antibody, comprising a first antigen-binding moiety and a second antigen-binding moiety, wherein a paired domain of the first antigen-binding moiety comprises an amino acid sequence of engineered HLA-I ?3 and an amino acid sequence of engineered ?2M. Also provided are an expression method for the bispecific antibody, a polynucleotide encoding the bispecific antibody, a vector and host cell containing the polynucleotide, a pharmaceutical composition containing the bispecific antibody, a fusion protein, and a conjugate.

Abstract: An apparatus comprising an interface, a structured light projector and a processor. The interface may receive pixel data. The structured light projector may generate a structured light pattern. The processor may process the pixel data arranged as video frames, perform operations using a convolutional neural network to determine a binarization result and an offset value and generate disparity and depth maps in response to the video frames, the structured light pattern, the binarization result, the offset value and a removal of error points. The convolutional neural network may perform a partial block summation to generate a convolution result, compare the convolution result to a speckle value to determine the offset value, generate an adaptive result in response to performing a convolution operation, compare the video frames to the adaptive result to generate the binarization result for the video frames, and remove the error points from the binarization result.

Abstract: An apparatus comprises an interface and a processor. The interface may be configured to receive pixel data representing a first field of view of a camera and four-dimensional (4D) point cloud data representing a second field of view of a 4D imaging radar sensor. The first field of view of the camera and the second field of view of the 4D imaging radar sensor generally overlap. The processor may be configured to process the pixel data and the 4D point cloud data arranged as video frames and perform an extrinsic parameter calibration for the 4D imaging radar sensor and the camera based on adaptive projection error. The extrinsic parameter calibration may comprise applying a pose calibration process to the video frames.

Abstract: A computer-implemented method for suppressing noise from audio signal uses both statistical noise estimation and neural network noise estimation to achieve more desirable noise reduction. The method is performed by a noise suppression computer software application running on an electronic device. The noise suppression computer software application first transforms the speech signal in time domain into frequency domain before determining a statistical noise estimate and a neural network noise estimate. The noise suppression computer software application merges the two noise estimates to derive a final noise estimate, and determines and refines a noise suppression filter. The filter is applied to the speech signal in frequency domain to obtain an enhanced signal. The enhanced signal is transformed back into time domain.

Abstract: An apparatus comprises an interface and a processor. The interface may be configured to receive pixel data.

Abstract: An apparatus comprising an interface, a light projector and a processor. The interface may be configured to receive pixel data. The light projector may be configured to generate a structured light pattern. The processor may be configured to process the pixel data arranged as video frames and generate disparity and depth maps. The processor may comprise convolutional neural network hardware that may arrange reference images into a tensor, perform logical operations on one of the video frames in a depth direction of the tensor to generate a tensor of feature maps of the video frames, use a convolution to reduce an amount of calculations performed in the depth direction of the tensor of feature maps, perform convolution filtering on the tensor of the feature maps, determine an index map location, and search lookup data based on the index map location to determine the disparity and depth maps.

Abstract: An apparatus comprising an interface, a structured light projector and a processor. The interface may receive pixel data. The structured light projector may generate a structured light pattern. The processor may process the pixel data arranged as video frames, perform operations using a convolutional neural network to determine a binarization result and an offset value and generate disparity and depth maps in response to the video frames, the structured light pattern, the binarization result, the offset value and a removal of error points. The convolutional neural network may perform a partial block summation to generate a convolution result, compare the convolution result to a speckle value to determine the offset value, generate an adaptive result in response to performing a convolution operation, compare the video frames to the adaptive result to generate the binarization result for the video frames, and remove the error points from the binarization result.

Abstract: A method and apparatus for document collaboration and management are disclosed. In the method and apparatus, a document may be incorporated in a document directory maintained by a document collaboration and management service. A portable representation underlay based on the document may be generated using one or more asynchronous workflows and the portable representation underlay may be provided in response to a user request.

Abstract: An adjustable wide-spectrum wavelength-insensitive directional coupler, comprising a substrate (100). A first-stage directional coupling structure (1), a phase-shifting structure (2), and a second-stage directional coupling structure (3) are sequentially connected and disposed on the substrate (100). The phase-shifting structure (2) comprises a phase-shifting curved waveguide, a phase-shifting straight waveguide (22), and a third modulation component (26), wherein the third modulation component (26) is disposed on the phase-shifting curved waveguide. One end of the phase-shifting curved waveguide is connected to an output end of a directional coupled waveguide I (16) of the first-stage directional coupling structure (1), and the other end of the phase-shifting curved waveguide is connected to an input end of a directional coupled waveguide III (30) of the second-stage directional coupling structure (3).

Abstract: A method and apparatus for processing service requests for non-transactional databases are disclosed. In the method and apparatus, the execution of a first operation may be initiated based at least in part on receiving a service request from a user. The first operation may be executed synchronously with receipt of the request. Further, one or more execution workflows may be provisioned for asynchronous execution of one or more other operations.

Abstract: A method and apparatus for identifying reviewers of documents is disclosed. In the method and apparatus, reviewers are identified for a set of documents. The reviewers are identified based at least in part on one or more attributes of the reviewers or one or more attributes of at least one document of the set of documents. An identity associated with a reviewer of the reviewers is made available to a user. After the reviewer is made available to the user, a selection of at least one reviewer is received from the user, and the set of documents are made available to the selected at least one reviewer.

Abstract: An adjustable wide-spectrum wavelength-insensitive directional coupler, comprising a substrate (100). A first-stage directional coupling structure (1), a phase-shifting structure (2), and a second-stage directional coupling structure (3) are sequentially connected and disposed on the substrate (100). The phase-shifting structure (2) comprises a phase-shifting curved waveguide, a phase-shifting straight waveguide (22), and a third modulation component (26), wherein the third modulation component (26) is disposed on the phase-shifting curved waveguide. One end of the phase-shifting curved waveguide is connected to an output end of a directional coupled waveguide I (16) of the first-stage directional coupling structure (1), and the other end of the phase-shifting curved waveguide is connected to an input end of a directional coupled waveguide III (30) of the second-stage directional coupling structure (3).

Abstract: Organizations maintain and generate large amounts of documentation and entities of these organizations often need to collaborate on generating and reviewing this information. There is a need to maintain and store this documentation remotely in such a way that the entities of these organizations may collaborate with each other. To ensure that information is handled effectively, new versions are created for documents uploaded to a service provider by entities of the organization. The documents are processed in such a way that the documents are displayed uniformly across a variety of devices.