Abstract: The present disclosure provides for antibody-oligonucleotide conjugates, methods of preparation thereof, and methods of use thereof. Also provided are related compounds, compositions and kits.

Abstract: A manufacturing system includes a substrate disposed on a conveyer system. The conveyer system includes a pair of side supports. The substrate is moved on the conveyer system until the substrate is disposed over a bottom support block. The bottom support block is raised to physically contact the substrate. A transfer arm module is provided. The transfer arm module includes a flat bottom surface and an opening formed in the flat bottom surface. The transfer arm module is disposed with the flat bottom surface physically contacting the substrate opposite the bottom support block. A vacuum is enabled through the opening of the transfer arm module. The substrate is lifted off the bottom support block using the vacuum. The substrate is moved over a printing pallet using the transfer arm module. The vacuum is disabled when the substrate is in a positioning area of the printing pallet.

Abstract: A semiconductor manufacturing equipment cleaning system has a multi-station cleaning and inspection system. Within semiconductor manufacturing equipment cleaning system, a tray cleaning station uses a first rotating brush passing over a first surface of a carrier and possibly semiconductor die, and a second rotating brush passing over a second surface of the carrier and semiconductor die opposite the first surface of the carrier and semiconductor die. Debris and contaminants dislodged from the first surface and second surface of the carrier by the first rotating brush and second rotating brush are removed under vacuum suction. A conveyor transports the carrier through the multi-station cleaning and inspection system. The first rotating brush and second rotating brush move in tandem across the first surface and second surface of the carrier. Air pressure is injected across the first rotating brush and second rotating brush to further remove debris and contaminants.

Abstract: Present disclosure provides a method and a server for adaptively updating a target subject identification to be stored in a database, the target subject identification pertaining to a target subject in a system comprising a plurality of servers, the server configured to: receive target subject information; assign a first target subject identification to the target subject information and store the first target subject identification in a first database of the server; and send a request, to the plurality of servers, to synchronize the target subject identification, the request including the target subject information relating to the target subject.

Abstract: In an aspect, there is provided method for cancelling anonymization for an area including a target in an input image, the input image including a plurality of identified subjects, the method comprising: retrieving historical images in which the target has appeared in; identifying an area by comparing the input image and the retrieved historical images to determine if the target has interacted with at least one of the identified subjects; and cancelling anonymization for the area including the target.

Abstract: The present disclosure provides for antibody-oligonucleotide conjugates, methods of preparation thereof, and methods of use thereof. Also provided are related compounds, compositions and kits.

Abstract: An authentication apparatus and a method to devise an authentication tool is provided for facilitating determination of authenticity or genuineness of an article with reference to a captured image or a purported primary image of an information bearing device on the article. The authenticity or genuineness of an article is determined with reference to whether a captured image is a primary image of an authentic information bearing device using a trained neural network. The neural network is trained using training images comprising imperfect images having varying degrees of image imperfections which are introduced under controlled conditions.

Abstract: A method, apparatus, and computer program product are provided for training a neural network or providing a pre-trained neural network with the weight-updates being compressible using at least a weight-update compression loss function and/or task loss function. The weight-update compression loss function can comprise a weight-update vector defined as a latest weight vector minus an initial weight vector before training. A pre-trained neural network can be compressed by pruning one or more small-valued weights. The training of the neural network can consider the compressibility of the neural network, for instance, using a compression loss function, such as a task loss and/or a weight-update compression loss. The compressed neural network can be applied within a decoding loop of an encoder side or in a post-processing stage, as well as at a decoder side.

Abstract: A music playback method for determining, based on image information, whether to play music, includes obtaining at least one detection position image through an image sensing apparatus; determining whether the detection position image meets at least one playback trigger threshold; and starting an audio playback device based on a result of whether the detection position image meets the playback trigger threshold, to output at least one piece of audio content.

Abstract: In one example, a printing device may include a first motor to transition a carriage between a first position and a second position, the carriage to exert a force on a gate shifter as the carriage transitions between the first position and the second position, the gate shifter to transition between an open position and a closed position in response to the exerted force of the carriage, and a feed swingarm to transition between a first side and a second side of the gate shifter when the gate shifter is in the open position.

Abstract: The present invention relates to a high heeled shoe 1 having a forefoot section 5, an arch section 7 and a heel section 6, the high heeled shoe 1 comprising a constructive sole 2, a heel 8, directly or indirectly attached to a lower surface 3 of the heel section 6 of the constructive sole 2; an upper part 9, attached to the constructive sole 2 such that the upper part 9 and the constructive sole 2 together form an enclosure configured to receive and hold a foot in a specific configuration and an insole 10 comprising auxetic material.

Abstract: A composite information bearing device comprising an image pattern and a human readable data device. The human readable data device includes a set of human readable data symbols representing a first set of data. The first set of data includes a first data portion and a second data portion. The image pattern represents a second set of data and comprises a third data portion. One of the first or said second data portions is to form an identification code upon combination or concatenation with said third data portion, and the other one of said first or said second data portions not forming part of said identification code is to form a verification code, the verification code being related to said identification code by a scheme of operation.

Abstract: Optimization of a neural network, for example in a video codec at the decoder side, may be guided to limit overfitting. The encoder may encode video(s) with different qualities for different frames in the video. Low-quality frames may be used as both input and ground-truth during optimization. High-quality frames may be used to optimize the neural network so that higher-quality versions of lower-quality inputs may be predicted. The neural network may be trained to make such predictions by making a prediction based on a constructed low-quality input for which the corresponding high-quality version is known, comparing the prediction to the high-quality version, and fine-tuning the neural network to improve its ability to predict a high-quality version of a low-quality input. To limit overfitting, the neural network may be concurrently or in an alternating fashion trained with low-quality input for which a higher-quality version of the low-quality input is known.

Abstract: A method of playing music includes providing a playing pool, where the playing pool includes a plurality of playlists, each playlist includes at least one piece of music, and each piece of music includes at least one attribute; comparing all music in any two playlists, and if at least one attribute of any two pieces of music is determined to be identical, defining the music as pairing music, where the pairing music is not music the same playlist; and playing the music in one of the plurality of playlists, and when a playing sequence comes to the pairing music, playing the music according to the pairing music.

Abstract: A music playback method for determining, based on image information, whether to play music, includes obtaining at least one detection position image through an image sensing apparatus; determining whether the detection position image meets at least one playback trigger threshold; and starting an audio playback device based on a result of whether the detection position image meets the playback trigger threshold, to output at least one piece of audio content.

Abstract: Optimization of a neural network, for example in a video codec at the decoder side, may be guided to limit overfitting. The encoder may encode video(s) with different qualities for different frames in the video. Low-quality frames may be used as both input and ground-truth during optimization. High-quality frames may be used to optimize the neural network so that higher-quality versions of lower-quality inputs may be predicted. The neural network may be trained to make such predictions by making a prediction based on a constructed low-quality input for which the corresponding high-quality version is known, comparing the prediction to the high-quality version, and fine-tuning the neural network to improve its ability to predict a high-quality version of a low-quality input. To limit overfitting, the neural network may be concurrently or in an alternating fashion trained with low-quality input for which a higher-quality version of the low-quality input is known.

Abstract: A method of playing music includes providing a playing pool, where the playing pool includes a plurality of playlists, each playlist includes at least one piece of music, and each piece of music includes at least one attribute; comparing all music in any two playlists, and if at least one attribute of any two pieces of music is determined to be identical, defining the music as pairing music, where the pairing music is not music the same playlist; and playing the music in one of the plurality of playlists, and when a playing sequence comes to the pairing music, playing the music according to the pairing music.

Abstract: An authentication apparatus and a method to devise an authentication tool is provided for facilitating determination of authenticity or genuineness of an article with reference to a captured image or a purported primary image of an information bearing device on the article. The authenticity or genuineness of an article is determined with reference to whether a captured image is a primary image of an authentic information bearing device using a trained neural network. The neural network is trained using training images comprising imperfect images having varying degrees of image imperfections which are introduced under controlled conditions.

Abstract: An apparatus comprises an image capturing device, a light emitting device for illuminating an object to be captured by the image capturing device, a visual guide to guide a user to aim the apparatus at a target authentication device, and a processor. The visual guide is devised such that when the apparatus is aimed at the target authentication device following guidance of the visual guide, the brightness levels on an image of the target authentication device captured by the image capturing device while under illumination of the light emitting device are within a predetermined range of brightness levels to facilitate verification of authenticity with reference to the captured image of the target authentication device.

Abstract: A method, apparatus, and computer program product are provided for training a neural network or providing a pre-trained neural network with the weight-updates being compressible using at least a weight-update compression loss function and/or task loss function. The weight-update compression loss function can comprise a weight-update vector defined as a latest weight vector minus an initial weight vector before training. A pre-trained neural network can be compressed by pruning one or more small-valued weights. The training of the neural network can consider the compressibility of the neural network, for instance, using a compression loss function, such as a task loss and/or a weight-update compression loss. The compressed neural network can be applied within a decoding loop of an encoder side or in a post-processing stage, as well as at a decoder side.