Abstract: A method for generating a preview associated with a media file is provided. The method may include receiving a plurality of social comments associated with a plurality of frames corresponding to the media file. The method may also include storing the received plurality of social comments in a repository, whereby the received plurality of social comments is stored with a frame marker. The method may further include analyzing the stored plurality of social comments. The method may additionally include classifying the analyzed plurality of social comments according to at least one sentiment and at least one keyword in the media file.

Abstract: An electronic device, while displaying a first user interface region and a first media item, detects a first input corresponding to a sharing user interface. In response, the device displays the sharing user interface, which includes a second user interface object for initiating a process for displaying a second representation of a first media item in an augmented reality environment. In response to detecting a sequence of one or more inputs including selection of the second user interface object, the device displays the second representation of the first media item in a second user interface that includes content of at least a portion of a field of view of the device's one or more cameras.

Abstract: An image processing method includes: performing feature-extracting processing on a plurality of images in an image data set to obtain image features respectively corresponding to the plurality of images; performing clustering processing on the plurality of images based on the obtained image features to obtain at least one cluster, herein images in a same cluster include a same object. A distributed and parallel manner is adopted to perform the feature-extracting processing and at least one processing procedure of the clustering processing.

Abstract: In one embodiment, a method of generating a 3D object is performed by a device including a processor, non-transitory memory, and one or more input devices. The method includes receiving, via one or more input devices, a user input selecting a file representing two-dimensional (2D) content and having a file type. The method includes receiving, via the one or more input devices, a user input requesting generation of a three-dimensional (3D) object based on the file. The method includes generating, based on the file type, a 3D object representing the 2D content.

Abstract: An electronic device, while displaying a first user interface region and a first media item, detects a first input corresponding to a sharing user interface. In response, the device displays the sharing user interface, which includes a second user interface object for initiating a process for displaying a second representation of a first media item in an augmented reality environment. In response to detecting a sequence of one or more inputs including selection of the second user interface object, the device displays the second representation of the first media item in a second user interface that includes content of at least a portion of a field of view of the device's one or more cameras.

Abstract: In one embodiment, a method of presenting a computer-generated reality (CGR) file includes receiving a user input to present a CGR scene including one or more CGR objects, wherein the CGR scene is associated with a first anchor and a second anchor. The method includes capturing an image of a physical environment and determining that the image of the physical environment lacks a portion corresponding to the first anchor. The method includes detecting a portion of the image of the physical environment corresponding to the second anchor. The method includes, in response to determining that image of the physical environment lacks a portion corresponding to the first anchor and detecting a portion of the image of the physical environment corresponding to the second anchor, displaying the CGR scene at a location of the display corresponding to the second anchor.

Abstract: An electronic device detects a first manipulation input directed to a respective virtual object of a plurality of virtual objects. In response to detecting the first manipulation input, in accordance with a determination that the plurality of virtual objects are displayed with at least a portion of a field of view of the one or more cameras, the device changes a display property of the respective virtual object based on the first manipulation input, and, in accordance with a determination that the plurality of virtual objects are displayed in a user interface that does not include the field of view of the one or more cameras, the electronic device changes a display property of the plurality of virtual objects based on the first manipulation input.

Abstract: Embodiments of wafer bonding method and structures thereof are disclosed. The wafer bonding method can include performing a plasma activation treatment on a front surface of a first and a front surface of a second wafer; performing a silica sol treatment on the front surfaces of the first and the second wafers; performing a preliminary bonding process of the first and second wafer; and performing a heat treatment of the first and the second wafers to bond the front surface of the first wafer to the front surface of the second wafers.

Abstract: A method is provided that includes acquiring initial PET imaging data. The method also includes acquiring CT imaging data. Further, the method includes training a deep learning model for PET image reconstruction using the initial PET imaging data and the CT imaging data.

Abstract: A face unlocking method includes: performing face detection on one or more images; performing face feature extraction on an image in which a face is detected; performing authentication on extracted face features based on stored face features, wherein the stored face features at least comprise face features of face images of at least two different angles corresponding to a same identity (ID); and performing an unlocking operation at least in response to the extracted face features passing the authentication.

Abstract: Embodiments of wafer bonding method and structures thereof are disclosed. The wafer bonding method can include performing a plasma activation treatment on a front surface of a first and a front surface of a second wafer; performing a silica sol treatment on the front surfaces of the first and the second wafers; performing a preliminary bonding process of the first and second wafer; and performing a heat treatment of the first and the second wafers to bond the front surface of the first wafer to the front surface of the second wafers.

Abstract: Systems, apparatus, methods, and computer-readable storage media to estimate scatter in an image are disclosed. An example apparatus includes a network generator to generate and train an inception neural network using first and second input to deploy an inception neural network model to process image data when first and second outputs of the inception neural network converge, the first input based on a raw sinogram of a first image and the second input based on an attenuation-corrected sinogram of the first image, the inception neural network including a first filter of a first size and a second filter of a second size in a layer to process the first input and/or the second input to generate an estimate of scatter in the first image. The example apparatus also includes an image processor to apply the estimate of scatter to a second image to generate a processed image.

Abstract: A method is provided that includes acquiring initial PET imaging data. The method also includes acquiring CT imaging data. Further, the method includes training a deep learning model for PET image reconstruction using the initial PET imaging data and the CT imaging data.

Abstract: Methods and apparatuses for detecting a face, and electronic devices include: performing face location on a face image to be detected; performing face attribute detection on the face image based on a face location result; and displaying a face attribute detection result of the face image to be detected. Use experience of face image detection can be improved while diversified requirements of a user for obtaining corresponding face information in a face image from different angles are satisfied.

Abstract: A method for generating a preview associated with a media file is provided. The method may include receiving a plurality of social comments associated with a plurality of frames corresponding to the media file. The method may also include storing the received plurality of social comments in a repository, whereby the received plurality of social comments is stored with a frame marker. The method may further include analyzing the stored plurality of social comments. The method may additionally include classifying the analyzed plurality of social comments according to at least one sentiment and at least one keyword in the media file.

Abstract: A method for generating a preview associated with a media file is provided. The method may include receiving a plurality of social comments associated with a plurality of frames corresponding to the media file. The method may also include storing the received plurality of social comments in a repository, whereby the received plurality of social comments is stored with a frame marker. The method may further include analyzing the stored plurality of social comments. The method may additionally include classifying the analyzed plurality of social comments according to at least one sentiment and at least one keyword in the media file.

Abstract: Embodiments of wafer bonding method and structures thereof are disclosed. The wafer bonding method can include performing a plasma activation treatment on a front surface of a first and a front surface of a second wafer; performing a silica sol treatment on the front surfaces of the first and the second wafers; performing a preliminary bonding process of the first and second wafer; and performing a heat treatment of the first and the second wafers to bond the front surface of the first wafer to the front surface of the second wafers.

Abstract: A method, a computer program product, and a computer system for identifying user preferences and changing settings of a device based on natural language processing. One or more programs running in background on the device capture an input of natural language from a user of the device, match the input of the natural language to a user frustration, map the user frustration to one or more solutions that make one or more changes of settings on the device, apply the one or more changes of settings to set user preference settings on the device, and store the user preference settings in a common store for the user.

Abstract: A wafer cassette and a method for placing a wafer are provided. The wafer cassette includes a box body including a plurality of groups of card slots formed on sidewalls of the box body. Each group of the card slots is configured to hold a wafer and includes a wafer input terminal. The wafer cassette also includes a guide device including a plurality of groups of guide slots configured to be docked to the wafer input terminals. Each group of the guide slots and a docking group of the card slots are formed at a same floor.

Abstract: Methods of producing recombinant therapeutic fusion proteins described herein can include culturing Chinese hamster ovary (CHO) cells under conditions suitable for expression of a recombinant therapeutic fusion protein including one or more glycans, where the CHO cells have not been genetically engineered to produce terminal alpha-galactosyl residues on glycans; treating the one or more glycans of the recombinant glycoprotein with one or more exoglycosidases; measuring glycans containing terminal galactose-alpha-1-3-galactose residues on the fusion protein by nuclear magnetic resonance (NMR); and producing a recombinant therapeutic fusion protein in the CHO cells if a target level of terminal galactose-alpha-1-3-galactose residues is measured.