Abstract: An outlier IC detection method includes acquiring first measured data of a first IC set, training the first measured data for establishing a training model, acquiring second measured data of a second IC set, generating predicted data of the second IC set by using the training model according to the second measured data, generating a bivariate dataset distribution of the second IC set according to the predicted data and the second measured data, acquiring a predetermined Mahalanobis distance on the bivariate dataset distribution of the second IC set, and identifying at least one outlier IC from the second IC set when at least one position of the at least one outlier IC on the bivariate dataset distribution is outside a range of the predetermined Mahalanobis distance.

Abstract: Devices and method for forming a switch including a heater layer including a first heater pad, a second heater pad, and a heater line connecting the first heater pad and the second heater pad, a phase change material (PCM) layer positioned in a same vertical plane as the heater line, and a floating spreader layer including a first portion positioned in the same vertical plane as the heater line and the PCM layer, in which the first portion has a first width that is less than or equal to a distance between proximate sidewalls of the first heater pad and the second heater pad.

Abstract: A die-level electrical parameter extraction method includes: obtaining electrical parameters of a plurality of transistor types; obtaining measurement results of a plurality of logic blocks; estimating a mapping relationship between the electrical parameters of the plurality of transistor types and the measurement results of the plurality of logic blocks; and regarding a specific die of a wafer, obtaining die-level measurement of the plurality of logic blocks, and generating die-level electrical parameters of the plurality of transistor types according to the mapping relationship and the die-level measurement results.

Abstract: An inventory management system includes a storage, and a processor. The storage stores a plurality of items, properties of the items, and predetermined classification data. The processor is electrically connected to the storage. The processor is configured to execute steps as follows: (a) classifying each of a plurality of items based on the predetermined classification data, such that each of the items includes a predetermined category, and classifying each of the items based on the predetermined categories and properties of the items, such that each of the items includes a classification category; (b) providing each of the items a prediction module based on the classification categories of the items and the properties of the items; and (c) providing a dynamic inventory-management decision table based on the prediction modules of the items.