Abstract: The three-stage axial flow degassing device adopts an efficient degassing technology including a vertical high speed swirling field, a horizontal rapid axial flow field and a vertical reversing scrubbing field formed by a combination of vertical tubes; the first-stage degasser performs the first-stage segmental vertical high speed swirling degassing operation, removes the gas phase carried by the gas-containing fluid, and forms a primary gas and a primary fluid; the microporous uniform mixer breaks bubbles of the primary fluid and forms a gas-liquid uniform mixed flow; the second-stage degasser performs the second-stage horizontal vane wheel swirling generating rapid axial flow degassing operation, removes the gas phase carried by the gas-liquid uniform mixed flow, and forms a secondary gas and a secondary fluid; the third-stage degasser performs the third-stage vertical reversing deep degassing operation, removes liquid phase carried by the secondary gas, and forms a tertiary gas and a tertiary fluid.

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: Some embodiments of the disclosure provide a method for measuring lesion features of hypertensive retinopathy. In some examples, the method includes: acquiring a fundus image (s110); identifying an optic disc region of the fundus image and dividing the fundus image into at least three regions including a first region (c1), a second region (c2), and a third region (c3) on the basis of the optic disc region (b) (s120); performing artery and vein segmentation on the fundus image by a deep learning-based arteriovenous segmentation model to obtain the arteriovenous segmentation result (s130), the arteriovenous vessel annotation results including an artery annotation result (e1), a vein annotation result (e2), and a small vessel annotation result (e3); and measuring lesion features in the fundus image on the basis of the three regions (c1, c2, c3) and the arteriovenous segmentation result (s140).

Abstract: The present application discloses a current collector, and manufacturing method and equipment thereof, and a current collector preform, wherein the current collector may include a porous foam metal part and solid metal part(s); the porous foam metal part may be uncompressed, and the porous foam metal part may include a first edge and a second edge oppositely distributed in a first direction, the first direction may be perpendicular to the thickness direction of the current collector; the first edge and/or the second edge may be connected with the solid metal part(s).

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 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: 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: 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: One embodiment provides a parallel processor comprising a hardware scheduler to schedule pipeline commands for compute operations to one or more of multiple types of compute units, a plurality of processing resources including a first sparse compute unit configured for input at a first level of sparsity and hybrid memory circuitry including a memory controller, a memory interface, and a second sparse compute unit configured for input at a second level of sparsity that is greater than the first level of sparsity.

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.

Abstract: One embodiment provides for a compute apparatus comprising a decode unit to decode a single instruction into a decoded instruction that specifies multiple operands including a multi-bit input value and a one-bit weight associated with a neural network, as well as an arithmetic logic unit including a multiplier, an adder, and an accumulator register. To execute the decoded instruction, the multiplier is to perform a fused operation including an exclusive not OR (XNOR) operation and a population count operation. The adder is configured to add the intermediate product to a value stored in the accumulator register and update the value stored in the accumulator register.

Abstract: In an example, an apparatus comprises a plurality of execution units comprising at least a first type of execution unit and a second type of execution unit and logic, at least partially including hardware logic, to analyze a workload and assign the workload to one of the first type of execution unit or the second type of execution unit. Other embodiments are also disclosed and claimed.