Abstract: The present disclosure discloses a display panel. The display panel includes a lighting test unit. The lighting test unit includes: signal input terminal sets, each including signal input terminals; shorting bar sets, each including shorting bars; and data signal line sets, each including data signal lines, where the signal input terminals are electrically connected to the shorting bars, the data signal lines are electrically connected to the shorting bars, and each shorting bar is connected end to end.

Abstract: A mechanism is described for facilitating smart distribution of resources for deep learning autonomous machines. A method of embodiments, as described herein, includes detecting one or more sets of data from one or more sources over one or more networks, and introducing a library to a neural network application to determine optimal point at which to apply frequency scaling without degrading performance of the neural network application at a computing device.

Abstract: The present application belongs to the field of compounds, and particularly relates to the perovskite-type compound ABX3. As a finding of the present application, the structural characteristics of the perovskite type enables the type of compound to be highly stable, thus overcoming the unsafety of an explosive having poor stability in the prior art. Meanwhile, the structural characteristics of the compound, such as rich energetic ligands, as well as the alternately arranged oxidizing energetic anions and reducing organic cations in the space, endow the compound with excellent performance on instantaneously releasing energy at detonation. The resulting three-dimensional structure allows the compound to not only have an energetic material effect but also overcome shortcomings of some existing energetic materials.

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: 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: The present disclosure discloses a silicon nanowire chip and silicon nanowire chip-based mass spectrometry detection method. The detection method includes the following steps: step 1 of manufacturing a silicon nanowire chip, comprising: subjecting a monocrystalline silicon wafer to a surface washing pretreatment, a metal-assisted etching and a post-alkali etching to obtain a silicon nanowire chip with a tip, and performing a surface chemical modification or a nanomaterial modification on the silicon nanowire chip; step 2 of evaluating mass spectrometry performance of the silicon nanowire chip; and step 3 of performing a tip-contact sampling and in-situ ionization mass spectrometry detection.

Abstract: An apparatus to facilitate compute optimization is disclosed. The apparatus includes a mixed precision core including mixed-precision execution circuitry to execute one or more of the mixed-precision instructions to perform a mixed-precision dot-product operation comprising to perform a set of multiply and accumulate operations.

Abstract: A library of machine learning primitives is provided to optimize a machine learning model to improve the efficiency of inference operations. In one embodiment a trained convolutional neural network (CNN) model is processed into a trained CNN model via pruning, convolution window optimization, and quantization.

Abstract: One embodiment provides for a general-purpose graphics processing unit including a scheduler to schedule multiple matrix operations for execution by a general-purpose graphics processing unit. The multiple matrix operations are determined based on a single machine learning compute instruction. The single machine learning compute instruction is a convolution instruction and the multiple matrix operations are associated with a convolution operation.

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: One embodiment provides for a graphics processing unit to accelerate machine-learning operations, the graphics processing unit comprising a multiprocessor having a single instruction, multiple thread (SIMT) architecture, the multiprocessor to execute at least one single instruction; and a first compute unit included within the multiprocessor, the at least one single instruction to cause the first compute unit to perform a two-dimensional matrix multiply and accumulate operation, wherein to perform the two-dimensional matrix multiply and accumulate operation includes to compute an intermediate product of 16-bit operands and to compute a 32-bit sum based on the intermediate product.

Abstract: Disclosed are a coordinated control method and system for active support of a new energy power station containing a voltage-controlled source. The method includes: obtaining a working mode and a controlled target value of an external characteristic of a new energy power station, and setting internal parameters of a voltage-controlled source and a current-controlled source in the new energy power station; monitoring a power output state of a controlled unit of a voltage source, and calculating a regulation margin of the voltage source; setting power, inertia, and an objective function and a constraint of multi-source coordinated control of primary frequency modulation (FM)/voltage regulation for the new energy power station, and obtaining controlled allocation logic of a current source based on the objective function and the constraint of the multi-source coordinated control; and setting secondary control logic of each controlled unit and its allocation priority strategy.

Abstract: Provided are a terminal position assurance and a connector, which belong to the technical field of connectors. The terminal position assurance includes a positioning body, an upper-row snap, a limiting member, and a lower-row snap. The positioning body extends along a first direction. Two upper-row snaps are provided, fixedly connected to the positioning body separately, and disposed opposite to each other. The limiting member is connected to one side of the positioning body and extends along a second direction which is perpendicular to the first direction. Two lower-row snaps are provided, fixedly connected to the limiting member separately, and disposed opposite to each other.

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 library of machine learning primitives is provided to optimize a machine learning model to improve the efficiency of inference operations. In one embodiment a trained convolutional neural network (CNN) model is processed into a trained CNN model via pruning, convolution window optimization, and quantization.

Abstract: An output structure of a battery group, including an output terminal, a circuit board, a first terminal, and a conductive member. The first terminal is electrically connected to the circuit board; the conductive member is electrically connected to the circuit board; the first terminal is welded to the conductive member; and the output terminal is welded to the conductive member or the first terminal. In the output structure provided by this application, the output terminal, the first terminal, and the conductive member are fixedly connected by welding. The output structure has advantages such as stable connection, stable welding quality, easy control, and being not easy to loosen, and can effectively avoid the serious heating caused by the increase of internal resistance at the joint, and thus can avoid the risk of a battery fire caused by the heating.

Abstract: Some embodiments of the invention pertain to methods carried out by a navigation satellite system (NSS) receiver for estimating parameters useful to determine a position. The receiver observes signals from satellites. Delta carrier phase observables are computed by subtracting observables of different epochs. An estimator uses state variables and computes their values based on the computed delta carrier phase observables. A synthetic carrier phase observable for an anchor epoch is generated, for each carrier phase observable of a terminus epoch for which one of the following applies: (i) a change in phase ambiguity occurred with respect to the corresponding carrier phase observable of the anchor epoch, and (ii) no corresponding carrier phase observable was tracked at the anchor epoch. Generated synthetic carrier phase observables are used to compute delta carrier phase observables between the anchor epoch and an epoch subsequent to the terminus epoch. Systems and vehicles are also disclosed.

Abstract: One embodiment provides for a graphics processing unit to accelerate machine-learning operations, the graphics processing unit comprising a multiprocessor having a single instruction, multiple thread (SIMT) architecture, the multiprocessor to execute at least one single instruction; and a first compute unit included within the multiprocessor, the at least one single instruction to cause the first compute unit to perform a two-dimensional matrix multiply and accumulate operation, wherein to perform the two-dimensional matrix multiply and accumulate operation includes to compute an intermediate product of 16-bit operands and to compute a 32-bit sum based on the intermediate product.

Abstract: A mechanism is described for facilitating smart distribution of resources for deep learning autonomous machines. A method of embodiments, as described herein, includes detecting one or more sets of data from one or more sources over one or more networks, and introducing a library to a neural network application to determine an optimal point at which to apply frequency scaling without degrading performance of the neural network application at a computing device.