Abstract: Aqueous hydrocortisone sodium phosphate and monothioglycerol formulations are disclosed.

Abstract: Embodiments are generally directed to an adaptive deformable kernel prediction network for image de-noising. An embodiment of a method for de-noising an image by a convolutional neural network implemented on a compute engine, the image including a plurality of pixels, the method comprising: for each of the plurality of pixels of the image, generating a convolutional kernel having a plurality of kernel values for the pixel; generating a plurality of offsets for the pixel respectively corresponding to the plurality of kernel values, each of the plurality of offsets to indicate a deviation from a pixel position of the pixel; determining a plurality of deviated pixel positions based on the pixel position of the pixel and the plurality of offsets; and filtering the pixel with the convolutional kernel and pixel values of the plurality of deviated pixel positions to obtain a de-noised pixel.

Abstract: The embodiment of the present disclosure provides a display panel and a display apparatus. The display panel includes a long side, a short side, a display pixel, a scan driving circuit, a drive circuit board, and chips on film. one end of each chip on film is coupled to the short side, and another end is coupled to the drive circuit board. The drive circuit board and the scan driving circuit of the embodiment of the present disclosure are respectively located on the short side and the long side of the display panel to improve the problem that the font is easily deformed during display.

Abstract: One embodiment provides an apparatus comprising a memory stack including multiple memory dies and a parallel processor including a plurality of multiprocessors. Each multiprocessor has a single instruction, multiple thread (SIMT) architecture, the parallel processor coupled to the memory stack via one or more memory interfaces. At least one multiprocessor comprises a multiply-accumulate circuit to perform multiply-accumulate operations on matrix data in a stage of a neural network implementation to produce a result matrix comprising a plurality of matrix data elements at a first precision, precision tracking logic to evaluate metrics associated with the matrix data elements and indicate if an optimization is to be performed for representing data at a second stage of the neural network implementation, and a numerical transform unit to dynamically perform a numerical transform operation on the matrix data elements based on the indication to produce transformed matrix data elements at a second precision.

Abstract: An apparatus to facilitate optimization of a convolutional neural network (CNN) is disclosed. The apparatus includes optimization logic to receive a CNN model having a list of instructions and including pruning logic to optimize the list of instructions by eliminating branches in the list of instructions that comprise a weight value of 0.

Abstract: This application provides an advertisement display method and a related device. The method includes: A terminal device sends an advertisement request to an advertisement server; the terminal device receives a return message that is sent by the advertisement server in response to the advertisement request; the terminal device determines whether a second advertisement has been downloaded within preset time; and the terminal device displays the second advertisement if the terminal has downloaded the second advertisement within the preset time; or the terminal device displays a first advertisement if the terminal has not downloaded the second advertisement within the preset time.

Abstract: The present application provides a display panel including a first conductive layer, a second conductive layer, and a third conductive layer. The present application reduces an overlap area between test signal lines and data lines to further reduce a capacitance therebetween to prevent an issue of color mixture of a screen image during a lighting test.

Abstract: A conductive terminal includes a first fixing portion, a first mating portion, a second fixing portion and a second mating portion. The second mating portion and the first mating portion are arranged side by side along a first direction. The first mating portion includes a first elastic piece extending along a second direction. The first elastic piece includes a first elastic contact portion. The second mating portion includes a second elastic piece. The second elastic piece includes a second elastic contact portion. The first elastic contact portion extends along a first arc-shaped surface. The second elastic contact portion extends along a second arc-shaped surface. Protruding directions of the first arc-shaped surface and the second arc-shaped surface are opposite to each other along the first direction. An electrical connector and an electrical connector assembly having the conductive terminal are disclosed.

Abstract: Embodiments are generally directed to an adaptive deformable kernel prediction network for image de-noising. An embodiment of a method for de-noising an image by a convolutional neural network implemented on a compute engine, the image including a plurality of pixels, the method comprising: for each of the plurality of pixels of the image, generating a convolutional kernel having a plurality of kernel values for the pixel; generating a plurality of offsets for the pixel respectively corresponding to the plurality of kernel values, each of the plurality of offsets to indicate a deviation from a pixel position of the pixel; determining a plurality of deviated pixel positions based on the pixel position of the pixel and the plurality of offsets; and filtering the pixel with the convolutional kernel and pixel values of the plurality of deviated pixel positions to obtain a de-noised pixel.

Abstract: An integrated circuit (IC) package apparatus is disclosed. The IC package includes one or more processing units and a bridge, mounted below the one or more processing unit, including one or more arithmetic logic units (ALUs) to perform atomic operations.

Abstract: In an example, an apparatus comprises a compute engine comprising a high precision component and a low precision component; and logic, at least partially including hardware logic, to receive instructions in the compute engine; select at least one of the high precision component or the low precision component to execute the instructions; and apply a gate to at least one of the high precision component or the low precision component to execute the instructions. Other embodiments are also disclosed and claimed.

Abstract: Aqueous hydrocortisone sodium phosphate and monothioglycerol formulations are disclosed.

Abstract: The present invention provides a MEMS sample holder comprising an observation section. The observation section includes a first layer, a second layer, and a sample compartment between the first layer and the second layer. The sample compartment is configured for filling a liquid sample and observing the liquid sample filled therewithin. The sample compartment has one, two or more windows through which an electron beam can pass. Each of the windows is formed on two cavities including a first cavity on the first layer and a second cavity on the second layer that is opposite to the first cavity across the sample compartment.

Abstract: The present invention provides a backscattered electron (BSE) detector comprising two or more detection components that are electrically isolated from each other. Each of the detection components includes a single continuous top metal layer configured for directly receiving incident backscattered electrons and for backscattered electron to penetrate therethrough. The thickness of one of the top metal layers is different from the thickness of another one of the top metal layers. The BSE detector can be used in an apparatus of charged-particle beam for imaging a sample material. Signals from the detection components having top metal layers of different thicknesses can be inputted into different signal amplifier circuits to get different energy bands of BSE image.

Abstract: This application relates to a roller device. The device comprises: a roller; and a roller axle, the roller axle comprises: an axle portion configured to mount the roller such that the roller is rotatable about the axle portion; and a riveting portion at a mounting end of the roller axle with respect to an axial direction of the roller axle, and extending from the mounting end in a direction away from the axle portion, wherein, when the roller device is pressed against a carrier under force, the riveting portion can pierce the carrier such that the roller axle is riveted with the carrier through the riveting portion.

Abstract: One embodiment provides a general-purpose graphics processing unit comprising a dynamic precision floating-point unit including a control unit having precision tracking hardware logic to track an available number of bits of precision for computed data relative to a target precision, wherein the dynamic precision floating-point unit includes computational logic to output data at multiple precisions.

Abstract: Provided are microfluidic systems and methods for detecting and sorting of droplets comprising heterogeneous particulate objects such as single cells and non-cell particles, including a variety of eukaryotic and bacterial cells, for a variety of bioassay applications. The systems and methods described herein, when implemented in whole or in part, will make relevant microfluidic based tools available for a variety of applications in biotechnology including antibody discovery, immuno-therapeutic discovery, high-throughput single cell analysis, target-specific compound screening, and synthetic biology screening.