-
公开(公告)号：US20240143639A1
公开(公告)日：2024-05-02
申请号：US17975484
申请日：2022-10-27
申请人： Dell Products L.P.
CPC分类号： G06F16/345 , G06F40/40 , G06N5/022
摘要： Facilitating reduction of noise in non-standard printed circuit board assembly component descriptions using a zero-shot model to identify salient component class descriptions is presented herein. A system receives defined valid label designations(s) representing an accepted domain of component class descriptions; receives defined invalid label designations(s) representing a rejected domain of component class descriptions; and replaces non-alphanumeric characters of respective component descriptions with respective spaces to obtain revised component descriptions, removes, from the revised component descriptions, word(s) that include number(s) to obtain reduced component descriptions, expands, using a defined knowledge base comprising an online library of information, respective words of the reduced component descriptions to obtain respective expanded words representing natural-language expressions of the respective words, and based on the defined valid and invalid label designation(s) and the respective expanded words, selects, using a zero-shot model, words from the reduced component description for inclusion in a final reduced component description.
-
公开(公告)号：US20230334246A1
公开(公告)日：2023-10-19
申请号：US17721169
申请日：2022-04-14
申请人： Dell Products, L.P.
发明人： Jeffrey Vah , Ravi Shukla , Aaron Sanchez
IPC分类号： G06F40/289
CPC分类号： G06F40/289 , G06Q30/016
摘要： A corpus of textual data records, labeled by experts as corresponding to a defined characteristic, that comprise descriptions of problems with an item are collected. A language model generates a plurality of n-grams from the corpus. Frequently occurring n-grams are analyzed using a zero-shot learning model to determine similarity to the defined characteristic. N-grams highly similar to the defined characteristic may be selected as defined phrases. N-grams highly similar to another characteristic may also be selected to reduce false positives. The zero-shot model may also be used to determine a weighting factor for each defined phrase for each record. A relevance score is determined for a record by multiplying the weighting factors for each phrase that has a similarity score relative to the record above a threshold based on the expert labeling. The relevancy score may be used to automatically diagnose problems with the item.
-
公开(公告)号：US11487797B2
公开(公告)日：2022-11-01
申请号：US17027965
申请日：2020-09-22
申请人： Dell Products L.P.
摘要： 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.
-
4.发明授权公开(公告)号：US11275664B2
公开(公告)日：2022-03-15
申请号：US16522217
申请日：2019-07-25
申请人： Dell Products L.P.
发明人： Ravi Shukla , Jeffrey Scott Vah
摘要： A method includes obtaining information regarding a given asset to be repaired, providing the information regarding the given asset to an encoder of a deep learning model, and receiving, from a decoder of the deep learning model, a recommendation for a troubleshooting action to be performed on the given asset. The method also includes performing the recommended troubleshooting action on the given asset, determining whether the recommended troubleshooting action results in a successful repair of the given asset and, responsive to determining that the recommended troubleshooting action does not result in a successful repair of the given asset, augmenting the information regarding the given asset based at least in part on an output vocabulary of the decoder corresponding to the recommended troubleshooting action. The method further includes repeating the providing, receiving, performing and determining steps utilizing the augmented information regarding the given asset.
-
公开(公告)号：US12061875B2
公开(公告)日：2024-08-13
申请号：US17721169
申请日：2022-04-14
申请人： Dell Products, L.P.
发明人： Jeffrey Vah , Ravi Shukla , Aaron Sanchez
IPC分类号： G06F40/20 , G06F40/289 , G06Q30/016
CPC分类号： G06F40/289 , G06Q30/016
摘要： A corpus of textual data records, labeled by experts as corresponding to a defined characteristic, that comprise descriptions of problems with an item are collected. A language model generates a plurality of n-grams from the corpus. Frequently occurring n-grams are analyzed using a zero-shot learning model to determine similarity to the defined characteristic. N-grams highly similar to the defined characteristic may be selected as defined phrases. N-grams highly similar to another characteristic may also be selected to reduce false positives. The zero-shot model may also be used to determine a weighting factor for each defined phrase for each record. A relevance score is determined for a record by multiplying the weighting factors for each phrase that has a similarity score relative to the record above a threshold based on the expert labeling. The relevancy score may be used to automatically diagnose problems with the item.
-
公开(公告)号：US20240265671A1
公开(公告)日：2024-08-08
申请号：US18105961
申请日：2023-02-06
申请人： Dell Products L.P
发明人： Jeffrey Scott Vah , Ravi Shukla , An Chung , Jim Henry Wiggers , Aditi Saluja
CPC分类号： G06V10/751 , G06V10/761 , G06V10/82
摘要： Methods, apparatus, and processor-readable storage media for security-related image processing using artificial intelligence techniques are provided herein. An example computer-implemented method includes obtaining image data associated with at least one user-provided component; obtaining identifier data associated with the at least one user-provided component; obtaining image data associated with at least one reference component from at least one database using at least a portion of the obtained identifier data; performing a comparison, using at least one pretrained computer vision model, of at least a portion of the obtained image data associated with the at least one user-provided component and at least a portion of the obtained image data associated with the at least one reference component; and performing one or more security-related actions based at least in part on results of the comparison.
-
7.发明授权公开(公告)号：US11675823B2
公开(公告)日：2023-06-13
申请号：US17500042
申请日：2021-10-13
申请人： Dell Products L.P.
发明人： Ramakanth Kanagovi , Sumant Sahoo , Arun Swamy , Ravi Shukla , Prakash Sridharan , Shrikrishna K. Joisa , Sandeep Ratnakar , Mayank Sharma
CPC分类号： G06F16/353 , G06F16/3346 , G06N20/20
摘要： An apparatus comprises at least one processing device configured to receive a query to perform sentiment analysis for a document, to generate, utilizing a first machine learning model, a first set of encodings classifying words of the document as being aspect or non-aspect terms, to generate, utilizing a second machine learning model, a second set of encodings classifying sentiment of the words of the document, and to determine, for a given aspect term, attention weights for a given subset of the words of the document surrounding the given aspect term. The processing device is also configured to generate, utilizing a third machine learning model, a given sentiment classification of the given aspect term based on the attention weights and a given portion of the second set of encodings for the given subset of the words, and to provide a response to the query comprising the given sentiment classification.
-
公开(公告)号：US20230116515A1
公开(公告)日：2023-04-13
申请号：US17500044
申请日：2021-10-13
申请人： Dell Products L.P.
发明人： Ramakanth Kanagovi , Shrikrishna K. Joisa , Sandeep Ratnakar , Arun Swamy , Sumant Sahoo , Prakash Sridharan , Ravi Shukla
IPC分类号： G06F16/34 , G06F16/35 , G06F40/295 , G06F40/284 , G06N3/04
摘要： An apparatus comprises at least one processing device configured to receive a query to determine associations between named entities and aspect terms for a document, to generate, utilizing a first machine learning model, a first set of encodings classifying words of the document as being aspect or non-aspect terms, to generate, utilizing a second machine learning model, a second set of encodings classifying associations of the words, and to determine, for a given aspect term, attention weights for a given subset of the words surrounding the given aspect term. The processing device is also configured to generate, utilizing a third machine learning model, predictions of association between the given aspect term and named entities recognized in the given subset of the words, and to provide a response to the query comprising at least one of the predicted associations.
-
公开(公告)号：US11506508B2
公开(公告)日：2022-11-22
申请号：US16729414
申请日：2019-12-29
申请人： Dell Products L.P.
发明人： Ravi Shukla , Sumant Sahoo , Prakash Sridharan , Ramakanth Kanagovi , Arun Swamy
摘要： A system, method, and computer-readable storage medium are disclosed that execute machine vision operations to categorize a locality. At least one embodiment accesses a map image of a locality, where the map image includes geographical artefacts corresponding to entities within the locality; analyzes the map image to detect the entities in the locality using the geographical artefacts; assigns entity classes to detected entities in the locality; assigns a locality score to the locality based on entity classes included in the locality; retrieves street view images for one or more of the detected entities in the locality; and analyzes street view images of the detected entities to assign one or more further classifications to the detected entities. Other embodiments include corresponding computer systems, apparatus, and computer programs recorded on one or more computer storage devices, each configured to perform the actions of the method.
-
10.发明授权公开(公告)号：US11430002B2
公开(公告)日：2022-08-30
申请号：US16741955
申请日：2020-01-14
申请人： Dell Products L.P.
发明人： Arun Swamy , Ravi Shukla , Prakash Sridharan , Sumant Sahoo , Ramakanth Kanagovi
摘要： At least one embodiment of the disclosed system is directed to computer-implemented method for using machine vision to categorize a locality to conduct lead mining analyses. Embodiments of the method may include: generating locality profile scores and economic categorization for each locality of a plurality of localities, the locality profile score for each locality being derived through neural network analyses of map images of the locality, the economic categorization being derived through neural network analyses of images of entities within the locality; and generating a lead score for each entity in the locality group as a function of the locality profile score for the locality in which the entity is located, the economic categorization of the locality in which the entity is located, and campaign vehicles used in the locality in which the entity is located.
-
-
-
-
-
-
-
-
-
搜索结果
36 条记录 (耗时 0.023 秒)
