A system that provides an improved approach for detecting and predicting failures in a plant
or equipment process. The approach may facilitate failure-model building and deployment …

An improved random forest model is provided, which has been trained based on silicon data
generated from tests of previously fabricated chips. An input is provided to the random forest …

Abstract Systems and techniques for multi-phase cloud service node error prediction are
described herein. A set of spatial metrics and a set of temporal metrics may be obtained for …

A system and method for forecasting failures in industrial machines, including: receiving raw
sensory inputs collected from at least one machine; generating a plurality of data features …

(57) ABSTRACT A method includes receiving, from one or more sensors associated with
manufacturing equipment, current trace data associated with producing, by the …

A method includes obtaining, by a processor, a plurality of sensor values associated with a
deposition process performed, according to a recipe, in a process chamber to deposit film on …

the sets of data facts can be combined into sets of data statements and utilized by multiple
interpretation engines to, according to different processing strategies, generate different …

The current disclosure describes techniques for managing vertical alignment or overlay in
semiconductor manufacturing using machine learning. Alignments of interconnection …

US20230236589A1 - Optimizing execution of multiple machine learning models over a single
edge device - Google Patents US20230236589A1 - Optimizing execution of multiple machine …

2021-08-18 Assigned to EMC IP Holding Company LLC reassignment EMC IP Holding
Company LLC ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR …