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公开(公告)号：US11663679B2
公开(公告)日：2023-05-30
申请号：US16599505
申请日：2019-10-11
Applicant: International Business Machines Corporation
Inventor： Nianjun Zhou , Dharmashankar Subramanian , Patrick Watson , Pavankumar Murali , Wesley M Gifford , Jayant R Kalagnanam
CPC classification number: G06Q50/04 , G05B19/41835 , G06F17/17 , G06N3/08 , G06Q10/0633 , G06Q10/06316 , G05B2219/31372 , H04L67/10
Abstract: A system and a method of managing a manufacturing process includes receiving production data relating to the manufacturing process and determining an operational mode associated with the manufacturing process using historical, multivariate senor data. The method may further determine a recommended action to affect production based on the determined operational mode. The operational mode may be based on at least one of: a level of operation in a continuous flow process relating to a joint set of process variables, a representation of a joint dynamic of the set of process variables over a predefined length, and a joint configuration of an uptime/downtime of a plurality of units comprising a process flow.
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公开(公告)号：US11348031B2
公开(公告)日：2022-05-31
申请号：US16108324
申请日：2018-08-22
Applicant: International Business Machines Corporation
Inventor： Patrick Watson , Maria Chang , Jae-Wook Ahn , Sharad Chandra Sundararajan , Prasenjit Dey
Abstract: Techniques for assessing the proficiency of artificial intelligence agents and users in a given knowledge domain are described. A plurality of proficiency agents can be initialized with a plurality of proficiency scores, by performing a plurality of assessments between pairs of proficiency agents selected from the plurality of proficiency agents. A first client device associated with a first user is matched with a first proficiency agent of the plurality of proficiency agents, based on a first proficiency score associated with the first user and a second proficiency score of the plurality of proficiency scores corresponding to the first proficiency agent. Assessments results of an assessment performed between the first client device and the first proficiency agent are received, and a rating system update function is used to update the first proficiency score and the second proficiency score, based on the assessment results.
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公开(公告)号：US11151410B2
公开(公告)日：2021-10-19
申请号：US16125153
申请日：2018-09-07
Applicant: International Business Machines Corporation
Inventor： Patrick Watson , Bishwaranjan Bhattacharjee , Siyu Huo , Noel C. Codella , Brian M. Belgodere , Parijat Dube , Michael R. Glass , John R. Kender , Matthew L. Hill
Abstract: A computer-implemented method for data labeling is provided. The computer-implemented method assigns pseudo-labels to unlabeled examples of data using a similarity metric on an embedding space to produce pseudo-labeled examples. A curriculum learning model is trained using the pseudo-labeled examples. The curriculum learning model trained with the pseudo-labeled examples is employed in in a fine-tuning task to enhance classification accuracy of the data.
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Patent Agency Ranking
公开(公告)号：US10699050B2
公开(公告)日：2020-06-30
申请号：US15969841
申请日：2018-05-03
Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor： David Wolpert , Erwin Behnen , Lawrence A. Clevenger , Patrick Watson , Chih-Chao Yang , Timothy A. Schell
IPC: G06F30/392 , H01L27/02 , G06F30/394 , G06F30/398
Abstract: A technique relates to structuring a semiconductor device. First empty cells are placed against hierarchical boundaries of a macro block. Functional cells are added in the macro block. Remaining areas are filled with second empty cells in the macro block. Shape requirements are determined for the first empty cells and the second empty cells. The first and second empty cells are replaced with determined shape requirements.
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公开(公告)号：US10511452B2
公开(公告)日：2019-12-17
申请号：US15842659
申请日：2017-12-14
Applicant: International Business Machines Corporation
Inventor： Jae-Wook Ahn , Maria D. Chang , Ravindranath Kokku , Patrick Watson
Abstract: Techniques facilitating using a blockchain system that integrates the trustworthiness of the blockchain concept with open scientific research by generating a blockchain of the experiments formed, data collected, analyses performed, and results achieved are provided herein. In an example, the blockchain system can form a blockchain representing a research project, wherein the blockchain comprises a first block of research data and a second block of analysis data representing a log of an analysis performed on the research data. Summary blocks and correction blocks can also be added to the blockchain representing the post analysis of the research results. One or more of the subsequent blocks can be linked to the preceding blocks using information in block headers that can also serve to determine whether modifications to the blocks have been performed.
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公开(公告)号：US20190354850A1
公开(公告)日：2019-11-21
申请号：US15982622
申请日：2018-05-17
Applicant: International Business Machines Corporation
Inventor： Patrick Watson , Bishwaranjan Bhattacharjee , Noel Christopher Codella , Brian Michael Belgodere , Parijat Dube , Michael Robert Glass , John Ronald Kender , Siyu Huo , Matthew Leon Hill
Abstract: Techniques regarding autonomously facilitating the selection of one or more transfer models to enhance the performance of one or more machine learning tasks are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can comprise an assessment component that can assess a similarity metric between a source data set and a sample data set from a target machine learning task. The computer executable components can also comprise an identification component that can identify a pre-trained neural network model associated with the source data set based on the similarity metric to perform the target machine learning task.
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公开(公告)号：US20180323980A1
公开(公告)日：2018-11-08
申请号：US15842659
申请日：2017-12-14
Applicant: International Business Machines Corporation
Inventor： Jae-Wook Ahn , Maria D. Chang , Ravindranath Kokku , Patrick Watson
CPC classification number: H04L9/3297 , G06F21/606 , G06F21/6209 , G06F21/64 , G06F2221/2107 , H04L9/0631 , H04L9/0637 , H04L9/0643 , H04L9/3236 , H04L2209/38 , H04L2209/60
Abstract: Techniques facilitating using a blockchain system that integrates the trustworthiness of the blockchain concept with open scientific research by generating a blockchain of the experiments formed, data collected, analyses performed, and results achieved are provided herein. In an example, the blockchain system can form a blockchain representing a research project, wherein the blockchain comprises a first block of research data and a second block of analysis data representing a log of an analysis performed on the research data. Summary blocks and correction blocks can also be added to the blockchain representing the post analysis of the research results. One or more of the subsequent blocks can be linked to the preceding blocks using information in block headers that can also serve to determine whether modifications to the blocks have been performed.
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公开(公告)号：US20180323979A1
公开(公告)日：2018-11-08
申请号：US15588387
申请日：2017-05-05
Applicant: International Business Machines Corporation
Inventor： Jae-Wook Ahn , Maria D. Chang , Ravindranath Kokku , Patrick Watson
CPC classification number: H04L9/3297 , G06F21/606 , G06F21/6209 , G06F21/64 , G06F2221/2107 , H04L9/0631 , H04L9/0637 , H04L9/0643 , H04L2209/60
Abstract: Techniques facilitating using a blockchain system that integrates the trustworthiness of the blockchain concept with open scientific research by generating a blockchain of the experiments formed, data collected, analyses performed, and results achieved are provided herein. In an example, the blockchain system can form a blockchain representing a research project, wherein the blockchain comprises a first block of research data and a second block of analysis data representing a log of an analysis performed on the research data. Summary blocks and correction blocks can also be added to the blockchain representing the post analysis of the research results. One or more of the subsequent blocks can be linked to the preceding blocks using information in block headers that can also serve to determine whether modifications to the blocks have been performed.
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