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公开(公告)号：US20240265237A1
公开(公告)日：2024-08-08
申请号：US18163804
申请日：2023-02-02
IPC分类号： G06N3/0455 , G06N3/0985
CPC分类号： G06N3/0455 , G06N3/0985
摘要： Explaining decisions or predictions of an AI model can include generating perturbed instances by perturbing one or more encoded features of a multimodal AI model instance. For each of the perturbed instances, a distance between one or more encoded features of each perturbed instance and a corresponding one or more of the encoded features of the multimodal AI instance can be determined. Each distance can be converted to a weight using a kernel function. For each weight, a modality-specific Shapley value can be determined, and each weight can be adjusted by post-weighting each weight with the modality-specific Shapley value associated with the weight to obtain final weights. An interpretable surrogate model based on the final weights can be output.
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公开(公告)号：US12008366B2
公开(公告)日：2024-06-11
申请号：US17805233
申请日：2022-06-03
IPC分类号： G06F8/77
CPC分类号： G06F8/77
摘要： Early indications of application programming interface (API) usage are identified by correlation to particular issues with the API including singular and mutual consistency, completeness, accuracy, and staleness. Analysis of API input and output along with data type and formatting information facilitates identification of the API issues. Establishing a correlation between API usage and issues supports early detection of potential usage reduction on a case-by-case level. Corrective action to resolve identified issues may be performed in a timely manner to maintain usage levels.
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公开(公告)号：US20240153300A1
公开(公告)日：2024-05-09
申请号：US18053773
申请日：2022-11-09
发明人： Manish Anand Bhide , Anoop T Puthiyaveetil , Pinky Chaudhary , Madan K Chukka , Phani Kumar V. U. Ayyagari , Ravi Shankar Singh
CPC分类号： G06V40/107 , G06V10/82 , G06V2201/07
摘要： Disclosed aspects include computer-implemented method for preventing Carpal Tunnel Syndrome (CTS), a computer program product, and a laptop computer. One embodiment of the method may comprise collecting, by a device having an associated keyboard, data of a user's interaction with the keyboard. The method may further comprise analyzing, by a first machine learning model, the audiovisual data to identify ergonomic issues in the user's interaction with the keyboard. The method may further comprise notifying the user of the identified ergonomic issues in real time.
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公开(公告)号：US11829455B2
公开(公告)日：2023-11-28
申请号：US18123506
申请日：2023-03-20
摘要： One example of a system comprises using a processor for identifying a model to be validated that is stored in a repository; automatically computing and recording one or more model metrics for the model to be validated in a tamper-proof manner; comparing the computed tamper-proof metrics with one or more encoded rules and policies to determine if the model to be validated complies with the one or more encoded rules and policies; and outputting a notification to a device indicating a validation status of the model to be validated based on the comparison of the computed tamper-proof metrics with the one or more encoded rules and policies.
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公开(公告)号：US11636185B2
公开(公告)日：2023-04-25
申请号：US17092340
申请日：2020-11-09
摘要： One example of a method comprises identifying a model to be validated that is stored in a repository; automatically computing and recording one or more model metrics for the model to be validated in a tamper-proof manner; comparing the computed tamper-proof metrics with one or more encoded rules and policies to determine if the model to be validated complies with the one or more encoded rules and policies; and outputting a notification to a device indicating a validation status of the model to be validated based on the comparison of the computed tamper-proof metrics with the one or more encoded rules and policies.
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公开(公告)号：US20230066677A1
公开(公告)日：2023-03-02
申请号：US17410181
申请日：2021-08-24
发明人： Manish Anand Bhide , Prateek Goyal , Seema Nagar , Sougata Mukherjea , Kuntal Dey , Pramod Vadayadiyil Raveendran
IPC分类号： G06F16/28 , G06F16/22 , G06F16/2455 , G06F16/248 , G06F21/62
摘要： A system and method is provided to selectively process and store tables of a relational database by calculating an overall data sensitivity score for each table based on predefined attribute rules; performing column-wise splitting of at least one of the tables into a first table and a second table based on the overall data sensitivity score of each table, thereby generating a total number of relational database tables; storing a first subset of the total number of relational database tables in a private cloud storage database in a distributed storage environment based on the overall data sensitivity scores of each of the total number of relational database tables; and storing a second subset of the total number of relational database tables in a public cloud storage database of the distributed storage environment based on the overall data sensitivity scores of each of the total number of relational database tables.
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公开(公告)号：US20220353338A1
公开(公告)日：2022-11-03
申请号：US17246749
申请日：2021-05-03
摘要： Information associated with a user and a presentation made by the user is received. A presentation readiness of the user is dynamically detected. One or more of a presentation mode of a presentation software and a recording mode of the presentation software is initiated based on the received information and the dynamically detected presentation readiness.
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公开(公告)号：US11489687B2
公开(公告)日：2022-11-01
申请号：US17204123
申请日：2021-03-17
摘要： A profile associated with a user that has unintentionally disconnected from an electronic conference is determined. Content missed by the user is determined. A determination is made whether the content missed by the user is relevant to the user based on the determined profile associated with the user and an indicated preference of the user. In response to determining that the content missed by the user is relevant to the user, the content missed by the user is transmitted to a computing device of the user.
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公开(公告)号：US20220300453A1
公开(公告)日：2022-09-22
申请号：US17202559
申请日：2021-03-16
发明人： Manish Anand Bhide , Seema Nagar , Prateek Goyal , Kuntal Dey
摘要： One or more computer processors determine a storage strategy for each chunked data block in a training dataset based on a respective computed usefulness score and a series of usefulness thresholds, wherein the storage strategy comprises RAID strategies that include striping, mirroring, parity, and double parity. The one or more computer processors distribute each data block in the training dataset according to the respective determined storage strategy.
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公开(公告)号：US20220180222A1
公开(公告)日：2022-06-09
申请号：US17111757
申请日：2020-12-04
摘要： A system and related method score a fairness of an outcome model. The method comprises receiving a set of original transaction records (OTRs), and selecting an OTR subset of the OTRs according to a subset selection criteria in order to reduce a number of OTRs to send to outcome model. For each OTR in the subset a perturbed transaction record (PTR) is created based on the OTR that includes changing at least one attribute in the PTR from the OTR, sending the OTR and the PTR to the outcome model, receiving an OTR outcome and a PTR outcome from the outcome model, and determining a record bias score for the OTR outcome and the PTR outcome respectively that indicates bias in the respective outcome. The OTR and the PTR bias score are stored in a bias determination system (BDS) database.
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