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公开(公告)号：US11797781B2
公开(公告)日：2023-10-24
申请号：US16986704
申请日：2020-08-06
Applicant: International Business Machines Corporation
Inventor： Fan Wang , Li Cao , Enrico James Monteleone
Abstract: A multi-layer language translator operating in conjunction with a syntax-based model, coupled with machine learning and artificial intelligence, performs language translations from a source language text to text expressed in a target language. A relevancy-based “chunking” module breaks a source text into smaller units and applies a part-of-speech tag to some or all of the units. A hierarchy-based structuring module determines grammatical structure of the source text based, at least in part, on the applied part-of-speech tags. The hierarchy-based structuring module recursively combines grammatically linked units into one or more phrases, and applies to the phrases higher-level tags. A syntax-based translating module translates the units and/or phrases into the target language, and based on syntax differences between the source and target languages, reconfigures the translated text, as needed, such that the translated text is expressed in the target language using target language syntax rules and conventions.
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公开(公告)号：US11748617B2
公开(公告)日：2023-09-05
申请号：US17016503
申请日：2020-09-10
Applicant: International Business Machines Corporation
Inventor： Li Cao , Ze Ming Zhao , Xiao Tian Xu , Yi Shan Jiang
CPC classification number: G06N3/08 , G06F18/217 , G06F18/25 , G06F18/285
Abstract: Embodiments of the present disclosure relate to weight matrix prediction. In an embodiment, a computer-implemented method is disclosed. The method comprises sending a candidate weight matrix of a neural network to one of a plurality of computing nodes comprised in a computing system to perform a testing iteration. The method further comprises receiving a testing loss value from the one of the plurality of computing nodes based on the testing iteration. The method further comprises evaluating whether the testing loss value is applicable. The method further comprises determining that the candidate weight matrix is available to be employed in a new formal iteration in response to the testing loss value being applicable. In other embodiments, a system and a computer program product are disclosed.
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公开(公告)号：US11647356B2
公开(公告)日：2023-05-09
申请号：US17068862
申请日：2020-10-13
Applicant: International Business Machines Corporation
Inventor： Yong Yin , Jia Tian Zhong , Dong Hui Liu , Peng Hui Jiang , Xing Xing Shen , Li Cao , Jia Yu
CPC classification number: H04W4/023 , G01S5/0221 , G01S5/02585 , H04W4/80
Abstract: Software for proximity positioning that performs the following operations: (i) receiving at least one parameter via an advertising channel of a first protocol, wherein the at least one parameter is encoded in an advertising packet of the first protocol, and wherein the first protocol supports a first proximity positioning technology; (ii) extracting the encoded at least one parameter from the advertising packet; and (iii) performing, by a second proximity positioning technology different from the first proximity positioning technology, a measurement of distance based, at least in part, on the at least one parameter.
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公开(公告)号：US11586447B2
公开(公告)日：2023-02-21
申请号：US16668003
申请日：2019-10-30
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor： Cheng Fang Wang , Li Cao , Peng Fei Tian , Hong Yi Zhang , Yong Wu , Bin Xu , Qing Li
IPC: G06F9/4401 , G06F9/50
Abstract: A method, computer system and computer program product for processing configuration after a cluster migration are provided. In this method, a network booting program is received at a computing node from a management node for a cluster. The cluster includes at least one computing node. An operating system is booted in a memory of the computing node with the received network booting program. Configuration changes are received from the management node, and the configurations in a local storage of the computing node are updated according to the received configuration changes.
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公开(公告)号：US20220391180A1
公开(公告)日：2022-12-08
申请号：US17337602
申请日：2021-06-03
Applicant: International Business Machines Corporation
Inventor： Bo Tong Liu , Li Cao , Qi Li , Jin Sheng Gao , Yan Wei Zhao , Jun Long Xiang
IPC: G06F8/36 , G06F16/2457 , G06F40/40
Abstract: Aspects include determining a coding intention and a dimension of interest to a user. A plurality of relevant projects that each include a logical code block that meets the coding intention are located. The locating includes searching a plurality of code repositories based at least in part on the coding intention. A score is assigned to each of the plurality of logical code blocks based at least in part on properties associated with the logical code blocks and on the dimension of interest to the user. A logical code block with the highest score is promoted to the user.
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Patent Agency Ranking
公开(公告)号：US20220365778A1
公开(公告)日：2022-11-17
申请号：US17319450
申请日：2021-05-13
Applicant: International Business Machines Corporation
Inventor： Shuang Shuang Jia , Yi Chai , Xiao-Yu Li , Xin Zhao , Li Cao , JIANGANG DENG , Hua Wei Fan , Zhou Wen Ya , HONG WEI SUN
Abstract: Aspects of the invention include systems and methods configured to efficiently evaluate the efforts of a code migration (e.g., porting task) between different platforms. A non-limiting example computer-implemented method includes receiving a function of a source platform. The function can include a plurality of fields. An initial vector is constructed for each of the plurality of fields. The initial vector encodes a value of the respective field according to an encoding rule. The initial vectors are merged into a single final vector and the final vector is classified into one of a plurality of system function families of the source platform. A vector of a target platform at a minimum distance to the final vector is identified and an assessment is provided that includes a difficulty in porting a project comprising the function between the source platform and the target platform based at least in part on the minimum distance.
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公开(公告)号：US20220358320A1
公开(公告)日：2022-11-10
申请号：US17315428
申请日：2021-05-10
Applicant: International Business Machines Corporation
Abstract: Aspects of the present disclosure relate to multi-spectrum visual object recognition. A first image corresponding to visible light and a second image corresponding to invisible light with respect to an object can be obtained. A first contour of the object can be identified based on the first image. A second contour of the object can be identified based on the second image. The first contour of the object and the second contour of the object can be integrated to generate a multi-spectrum contour of the object. The object can be recognized using the multi-spectrum contour of the object.
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公开(公告)号：US20220188676A1
公开(公告)日：2022-06-16
申请号：US17122774
申请日：2020-12-15
Applicant: International Business Machines Corporation
Inventor： Li Cao , Ze Ming Zhao , Hong Min , Jing Yan Ma
Abstract: An approach to optimize performance for large scale inference models. Data in the form of images is received from sensors such as cameras. The data is processed to generate data tags associated with the context of the image and portion the images. Model tags are generated based on data characteristics or user input. The tags and their associated data are added to a time-based queue for delivery to the appropriate inference models. Based on the embedded delivery time and frequency, the portioned images are delivered to the appropriate inference models.
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公开(公告)号：US20220067627A1
公开(公告)日：2022-03-03
申请号：US17009966
申请日：2020-09-02
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor： Li Cao , Qiang Qin , Rui Wang , Jing James Xu
Abstract: A method, system, and computer program product are provided for key performance indicator (KPI) extraction. A baseline value and times series data are received. The time series data includes logs, performance data, and operational data from one or more servers. The time series data is embedded to a vector. A multi-tier list of key KPI values is created. The key KPI value having a least cumulative absolute error is identified.
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公开(公告)号：US11210155B1
公开(公告)日：2021-12-28
申请号：US17342714
申请日：2021-06-09
Applicant: International Business Machines Corporation
Inventor： Li Cao , Xing Xing Shen , Zhi Li , Bo Tong Liu , He Jiang Jia , Xiao Dong Li , Sheng Jie BJ Han
Abstract: Aspects of the invention include a computer-implemented method that includes converting runtime data points that are indicative of an influence of the runtime data points on a robustness and performance of a computing system. The runtime data points are clustered, wherein each cluster respectively represents a temporal state of the computing system. Each cluster is translated into a three-dimensional representation based on a probability density of the runtime data points of each cluster. A time-based vector is generated, where the vector describes a transition from a first three-dimensional representation to a second three-dimensional representation. Each three-dimensional representation traversed by the time-based vector represents a respective state of the computing system. The time-based vector is compared with a baseline vector. An anomaly alert is issued based at least in part on the comparison.
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