Abstract: The present disclosure provides an integrated circuit chip device and related product thereof. The integrated circuit chip device includes an external interface and a processing circuit. The processing circuit is configured to quantize the first layer input data and the first layer weight group data to obtain a first layer quantized input data and a first layer quantized weight group data; query a first layer output data corresponding to the first layer quantized input data and the first layer quantized weight group data from a preset output result table, determine the first layer output data as a second layer input data, and input the second layer input data into n?1 layers to execute forward operations to obtain nth layer output data; the nth layer output data gradients is determined according to the nth layer output data and the nth layer back operations is obtained according to the training instructions.

Abstract: Systems, methods, terminals, and computer readable storage medium for normalizing entities in a knowledge base. A method for normalizing entities in a knowledge base includes acquiring a set of entities in the knowledge base, pre-segmenting the set of entities in a plurality of segmenting modes, performing a sample construction based on the result of pre-segmentation to extract a key sample, performing a feature construction based on the result of pre-segmentation to extract a similar feature, performing a normalizing determination on each pair of entities with at least one normalization model using the key sample and the similar feature to determine whether entities in each pair are the same, and grouping results of the normalizing determination.

Abstract: Embodiments of the disclosure disclose a method, apparatus, server, and storage medium for incorporating a structured entity, wherein the method for incorporating a structured entity can comprise: selecting a candidate entity associated with a to-be-incorporated structured entity from a knowledge graph, determining the to-be-incorporated structured entity being an associated entity based on prior attribute information of a category of the candidate entity and a preset model, merging the associated entity and the candidate entity, and incorporating the associated entity into the knowledge graph. The embodiments can select a candidate entity, and then integrate a preset model using prior knowledge, which can effectively improve the efficiency and accuracy in associating entities, and reduce the amount of calculation, to enable the structured entity to be simply and efficiently incorporated into the knowledge graph.

Abstract: An apparatus for a magnetostrictive sensor for guided-wave-based inspection includes a flexible body with a conductor arranged to receive an alternating current for generating a magnetic field. During operation, the flexible body is arranged to be attached to an object to be inspected in such a way that a first part of the conductor arranged to generate a magnetic field parallel to a longitudinal direction of the object is arranged to surround the object and a second part of the conductor arranged to generate a magnetic field perpendicular to the longitudinal direction of the object is disposed away from the object.

Abstract: A built-in-self-test (BIST) circuit is connected to a processor and a sigma-delta modulator (SDM) and includes an averaging circuit, a reference signal generator, and a comparator. The averaging circuit calculates an average of a sum of a set of bit signals of the SDM output signal over a period of time period, and generates an average SDM signal. The reference signal generator generates a reference SDM signal based on an SDM input signal. The comparator compares the voltage levels of the average SDM and reference SDM signals with a threshold value, and generates a test output signal based on the comparison.

Abstract: A method for manufacturing microabraders by machining a surface of a workpiece, each of the microabraders having a plurality of sides; for each of the microabraders the method comprising: (a) making a plurality of cuts into the surface, the plurality of cuts being in a required sequence around the plurality of sides to form a microabrader of a required shape; (b) the plurality of cuts being of progressively reducing depth such that a final cut is of a smallest depth of all the cuts; (c) the plurality of cuts, the required sequence and the progressively reducing depth being selected to provide material of the workpiece to support the microabrader until machining is completed.