Dell Products Inc.

Jimmy Henry Wiggers

Ravi Shukla

Jeffrey Scott Vah

An Chung

Brian T Martin

Sudipta Pradhan

Carlos F Rodman

M Najam Mushtaq

Nikhila Kambalapalli

Brock A Adams

An apparatus comprises a processing device configured to obtain a plurality of images each comprising at least a given portion of an instance of a computing device and to detect, utilizing an image classification machine learning model, at least a subset of the plurality of images having one or more designated failure characteristics. The processing device is also configured to create, utilizing a semantic segmentation machine learning model, a mask for each image in the subset of the plurality of images, the created masks characterizing locations of the designated failure characteristics in each image in the subset of the plurality of images. The processing device is further configured to generate an aggregated view of locations of the designated failure characteristics for the subset of the plurality of images utilizing the created masks, and to perform failure analysis for the computing device utilizing the generated aggregated view.

Device failure analysis utilizing aggregated views of multiple images of devices

An apparatus comprises a processing device configured to obtain a first image, to detect one or more designated types of objects in the first image, at least a given one of the designated types of objects comprising at least a given portion of a computing device associated with a service request and, responsive to detecting the given one of the designated types of objects, to identify features of the given portion of the computing device in the first image. The processing device is also configured to perform an augmentation of the identified features of the given portion of the computing device to generate a second image, the second image comprising a modified version of the first image that contains the given portion of the computing device and excludes one or more other portions of the first image, and to process the service request utilizing the second image.

Service request processing utilizing modified versions of images of computing devices

An apparatus comprises a processing device configured to receive a query to extract information from a document, and to perform two or more iterations of utilizing a machine learning-based information extraction model to extract portions of unstructured text data from the document. In each iteration, a portion of the unstructured text data extracted from the document and an associated relevance score are output. In a first iteration, the query and document are input while in subsequent iterations the query and modified versions of the document are input, the modified versions having previously-extracted portions of the unstructured text data removed therefrom. The processing device is also configured to generate a response to the query comprising a subset of the portions of the unstructured text data extracted from the document determined to have associated relevance scores exceeding a threshold relevance score and at least a threshold level of similarity to the query.

Iterative application of a machine learning-based information extraction model to documents having unstructured text data

A system, method, and computer-readable medium for performing a system failure repair operation, comprising: receiving information regarding symptoms related to a faulty device; storing the information with other historical information regarding the symptoms; receiving additional information as the faulty device is diagnosed; indicating whether a repair recommendation is provided for the faulty device; and using the stored information, historical information, and additional information to provide a repair recommendation if indicating shows no repair recommendation.

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Cedar Park, TX, United States of America

Jimmy Henry Wiggers