Abstract: The present invention provides for recombinant Endo-S2 mutants (named Endo-S2 glycosynthases) that exhibit reduced hydrolysis activity and increased transglycosylation activity for the synthesis of glycoproteins wherein a desired sugar chain is added to a fucosylated or nonfucosylated GlcNAc-IgG acceptor. As such, the present invention allows for the synthesis and remodeling of therapeutic antibodies thereby providing for certain biological activities, such as, prolonged half-life time in vivo, less immunogenicity, enhanced in vivo activity, increased targeting ability, and/or ability to deliver a therapeutic agent.

Abstract: The present invention provides for the use of recombinant Endo-S2 mutants (named Endo-S2 glycosynthases) that exhibit reduced hydrolysis activity and increased transglycosylation activity for the synthesis of glycoproteins wherein a desired sugar chain is added to a fucosylated or nonfucosylated GlcNAc-IgG acceptor. As such, the present invention allows for the synthesis and remodeling of therapeutic antibodies thereby providing for certain biological activities, such as, prolonged half-life time in vivo, less immunogenicity, enhanced in vivo activity, increased targeting ability, and/or ability to deliver a therapeutic agent.

Abstract: In various examples, systems and methods for machine learning based hazard detection for autonomous machine applications using stereo disparity are presented. Disparity between a stereo pair of images is used to generate a path disparity model. Using the path disparity model, a machine learning model can recognize when a pixel in the first image corresponds to a pixel in the second image even though the pixel in the two images does not have identical characteristics. Similarities in extracted feature vectors can be computed and represented by a vector similarity metric that is input to a machine learning classifier, along with feature information extracted from the stereo image pair, to differentiate hazard pixels from non-hazard pixels. In some embodiments, a V-space disparity map, where a first axis corresponds to disparity values and the second axis corresponds to pixel rows, may be used to simplify estimation of the path disparity model.

Abstract: Implementations of the subject matter described herein relate to mixed reality object rendering based on ambient light conditions. According to the embodiments of the subject matter described herein, while rendering an object a wearable computing device acquires light conditions of the real world, thereby increasing the reality of the rendered object. In particular, the wearable computing deice is configured to acquire an image of an environment where the wearable computing deice is located. The image is adjusted based on a cement parameter used when the image is captured. Subsequently, ambient light information is determined based on the adjusted image. In this way, the wearable computing deice can obtain more real and accurate emblem light information, so as to render to the user an object with enhanced reality. Accordingly, the user can have a better interaction experience.

Abstract: The implementations of the subject matter described herein relate to an octree-based convolutional neural network. In some implementations, there is provided a computer-implemented method for processing a three-dimensional shape. The method comprises obtaining an octree for representing the three-dimensional shape. Nodes of the octree include empty nodes and non-empty nodes. The empty nodes exclude the three-dimensional shape and are leaf nodes of the octree, and the non-empty nodes include at least a part of the three-dimensional shape. The method further comprises for nodes in the octree with a depth associated with a convolutional layer of a convolutional neural network, performing a convolutional operation of the convolutional layer to obtain an output of the convolutional layer.

Abstract: In various examples, a sequential deep neural network (DNN) may be trained using ground truth data generated by correlating (e.g., by cross-sensor fusion) sensor data with image data representative of a sequences of images. In deployment, the sequential DNN may leverage the sensor correlation to compute various predictions using image data alone. The predictions may include velocities, in world space, of objects in fields of view of an ego-vehicle, current and future locations of the objects in image space, and/or a time-to-collision (TTC) between the objects and the ego-vehicle. These predictions may be used as part of a perception system for understanding and reacting to a current physical environment of the ego-vehicle.

Abstract: Implementations of the subject matter described herein relate to mixed reality object rendering based on ambient light conditions. According to the embodiments of the subject matter described herein, while rendering an object a wearable computing device acquires light conditions of the real world, thereby increasing the reality of the rendered object. In particular, the wearable computing deice is configured to acquire an image of an environment where the wearable computing deice is located. The image is adjusted based on a cement parameter used w hen the image is captured. Subsequently, ambient light information is determined based on the adjusted image. In this way, the wearable computing deice can obtain more real and accurate emblem light information, so as to render to the user an object with enhanced reality. Accordingly, the user can have a better interaction experience.

Abstract: In various examples, a sequential deep neural network (DNN) may be trained using ground truth data generated by correlating (e.g., by cross-sensor fusion) sensor data with image data representative of a sequences of images. In deployment, the sequential DNN may leverage the sensor correlation to compute various predictions using image data alone. The predictions may include velocities, in world space, of objects in fields of view of an ego-vehicle, current and future locations of the objects in image space, and/or a time-to-collision (TTC) between the objects and the ego-vehicle. These predictions may be used as part of a perception system for understanding and reacting to a current physical environment of the ego-vehicle.

Abstract: An intuitive interface may allow users of a computing device (e.g., children, etc.) to create imaginary three dimensional (3D) objects of any shape using body gestures performed by the users as a primary or only input. A user may make motions while in front of an imaging device that senses movement of the user. The interface may allow first-person and/or third person interaction during creation of objects, which may map a body of a user to a body of an object presented by a display. In an example process, the user may start by scanning an arbitrary body gesture into an initial shape of an object. Next, the user may perform various gestures using his body, which may result in various edits to the object. After the object is completed, the object may be animated, possibly based on movements of the user.

Abstract: A controller (600) for a radiotherapy device (320) is provided; the radiotherapy device (320) being configured to provide therapeutic radiation to a patient (308) via a source (300) of therapeutic radiation, wherein the radiotherapy device (320) comprises a first rotatable member (304), the rotation of which can alter a physical attribute of the therapeutic radiation provided, and a patient support member (310), which is linearly moveable in at least one of a longitudinal direction and a lateral direction. The controller (600) comprises a first rotatable actuator (608) for controlling a movement of the first rotatable member (304) and a second actuator (620) for controlling a movement of the patient support member (310).

Abstract: Implementations of the subject matter described herein relate to mixed reality object rendering based on ambient light conditions. According to the embodiments of the subject matter described herein, while rendering an object, a wearable computing device acquires light conditions of the real world, thereby increasing the reality of the rendered object. In particular, the wearable computing device is configured to acquire an image of an environment where the wearable computing device is located. The image is adjusted based on a camera parameter used when the image is captured. Subsequently, ambient light information is determined based on the adjusted image. In this way, the wearable computing device can obtain more real and accurate ambient light information, so as to render to the user an object with enhanced reality. Accordingly, the user can have a better interaction experience.

Abstract: The present invention provides for a one-pot enzymatic approach which does not require removal of the enzyme and purification of the intermediate after deglycosylation step, and the Endo-S treatment is able to do both deglycosylation and transglycosylation. The one-pot strategy of the present invention enables chemoenzymatic synthesis of an azido-tagged N-glycoform of monocloncal antibodies which could be further modified through orthogonal chemical ligation for various applications.

Abstract: An intuitive interface may allow users of a computing device (e.g., children, etc.) to create imaginary three dimensional (3D) objects of any shape using body gestures performed by the users as a primary or only input. A user may make motions while in front of an imaging device that senses movement of the user. The interface may allow first-person and/or third person interaction during creation of objects, which may map a body of a user to a body of an object presented by a display. In an example process, the user may start by scanning an arbitrary body gesture into an initial shape of an object. Next, the user may perform various gestures using his body, which may result in various edits to the object. After the object is completed, the object may be animated, possibly based on movements of the user.

Abstract: The disclosure discloses a two-dimensional high-performance resonator, which is specifically an ultra-high-frequency resonator structure capable of improving an electromechanical coupling coefficient of the resonator. The resonator includes a piezoelectric layer, where an electrode layer is distributed on the upper surface of the piezoelectric layer, the electrode layer includes a plurality of electrodes arranged in a horizontal direction with a distance therebetween greater than four wavelengths, and a bridge structure is arranged on an upper portion of the electrode layer. The resonator structure can effectively improve the resonance frequency and the electromechanical coupling coefficient of the resonator, and can meet the requirements of the 5G market, and the quality factor is greatly improved.

Abstract: In accordance with implementations of the present disclosure, there is provided a solution for portrait editing and synthesis. In this solution, a first image about a head of a user is obtained. A three-dimensional head model representing the head of the user is generated based on the first image. In response to receiving a command of changing a head feature of the user, the three-dimensional head model is transformed to reflect the changed head feature. A second image about the head of the user is generated based on the transformed three-dimensional head model, and reflects the changed head feature of the user. In this way, the solution can realize editing of features like a head pose and/or a facial expression based on a single portrait image without manual intervention and automatically synthesize a corresponding image.

Abstract: Apparatuses, systems, and techniques to cache and reuse data for a neural network. In at least one embodiment, data generated by one or more layers of a neural network is cached and reused by the neural network.

Abstract: A method for capturing an image is disclosed in the present disclosure. The method includes: detecting first information associated with a first application that is running, wherein the first information is configured to characterize an attribute of the first application; capturing an image output by the first application in a capturing fashion associated with the image output by the first application based on a first capturing policy in the case that the first information associated with the first application exists in the first database; capturing the image output by the first application based on a second capturing policy in the case that the first information associated with the first application does not exist in the first database. The present disclosure also discloses a terminal and a storage medium.

Abstract: Implementations of the subject matter described herein relate to mixed reality rendering of objects. According to the embodiments of the subject matter described herein, while rendering an object, a wearable computing device takes lighting conditions in the real world into account, thereby increasing the reality of the rendered object. In particular, the wearable computing device acquires environment lighting information of an object to be rendered and renders the object to a user based on the environment lighting information. In this way, the object rendered by the wearable computing device can be more real and accurate. The user will thus have a better interaction experience.

Abstract: In accordance with implementations of the subject matter described herein, there is provided a solution of lighting estimation. In the solution, an input image about a real object and a depth map corresponding to the input image are obtained. A geometric structure of the scene in the input image is determined based on the depth map. Shading and shadow information on the real object caused by a light source in the scene is determined based on the determined geometric structure of the scene. Then, a lighting condition in the scene caused by the light source is determined based on the input image and the shading and shadow information. The virtual object rendered using the lighting condition obtained according to the solution can exhibit a realistic effect consistent with the real object.

Abstract: The present invention provides for recombinant Endo-S2 mutants (named Endo-S2 glycosynthases) that exhibit reduced hydrolysis activity and increased transglycosylation activity for the synthesis of glycoproteins wherein a desired sugar chain is added to a fucosylated or nonfucosylated GlcNAc-IgG acceptor. As such, the present invention allows for the synthesis and remodeling of therapeutic antibodies thereby providing for certain biological activities, such as, prolonged half-life time in vivo, less immunogenicity, enhanced in vivo activity, increased targeting ability, and/or ability to deliver a therapeutic agent.