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.

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: Described herein is a graphics processor comprising a memory device and a graphics processing cluster coupled with the memory device. The graphics processing cluster includes a plurality of graphics multiprocessors interconnected via a data interconnect. A graphics multiprocessor includes circuitry configured to load a modular neural network including a plurality of subnetworks, each of the plurality of subnetworks trained to perform a computer vision operation on a separate subject.

Abstract: Described herein is a general-purpose graphics processing unit including a multiprocessor having a single instruction, multiple thread, SIMT, architecture. The multiprocessor comprises multiple sets of compute units each having a first logic unit configured to perform floating-point operations and a second logic unit configured to perform integer operations, with a thread of the floating-point instruction being executed in parallel with a thread of the integer instruction.

Abstract: Provided are a series of ionic compounds and a preparation method therefor and a use thereof as energetic materials.

Abstract: The present disclosure provides aqueous formulations comprising hydrocortisone sodium phosphate and monothioglycerol. In some embodiments, the formulations comprise monobasic sodium phosphate, dibasic sodium phosphate, or disodium EDTA. The present disclosure further provides a method of treating a disease or disorder in a subject by administering the aqueous formulation.

Abstract: A universal nanochip for mass spectrometry analysis and preparing method and application of the same, relates to a technical field of mass spectrometry analysis. A main material of the nanochip is a silicon-based semiconductor material, array-type spotting wells are distributed at a surface of the main material, and an inner surface of the spotting well is of a nanostructure; the surface of the main material has a regional hydrophobic modification, and inside the array-type spotting well is a hydrophilic region and outside the spotting well is a hydrophobic region; or outside the array-type spotting well is a hydrophilic region and inside the spotting well is a hydrophobic region. The nanostructure can extract molecules on a surface of a biological tissue sample to be tested, and improves laser energy absorption and utilization, thereby improving ionization efficiency and enhancing mass spectrum signals. The universal nanochip can be widely applied to clinical inspection.

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.