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1. 发明申请

US20220197914A1 RANKING DATASETS BASED ON DATA ATTRIBUTES 有权
公开(公告)号：US20220197914A1
公开(公告)日：2022-06-23
申请号：US17125935
申请日：2020-12-17
申请人： International Business Machines Corporation
发明人： Manjit Singh Sodhi , Kalapriya Kannan , Poornima Iyengar
IPC分类号： G06F16/2457 , G06F7/08
摘要： Ranking a group of datasets using a computer includes determining a set of target data fields from a set of process documents that indicate user data field preferences. A set of target dataset attributes from a set of data use documents indicate user data scope preferences. A plurality of metadata sets for an associated plurality of datasets the computer determines having a field suitability value exceeding a predetermined suitability threshold value. The FSV represents a degree of similarity between a set of fields associated with said dataset and the set of target data fields. The computer assesses metadata sets with regard to the target attributes and generates a compared attribute score for each candidate dataset. A degree of likelihood is indicated that an associated dataset will have content exhibiting said target dataset attributes. The computer candidate datasets is based on the compared attribute score.

2. 发明申请

US20220188567A1 GENERATION OF TRAINING DATA FROM REDACTED INFORMATION 有权
公开(公告)号：US20220188567A1
公开(公告)日：2022-06-16
申请号：US17119247
申请日：2020-12-11
申请人： International Business Machines Corporation
发明人： Balaji Ganesan , Kalapriya Kannan , Neeraj Ramkrishna Singh , Shettigar Parkala Srinivas , Hima Patel , Soma Shekar Naganna , Berthold Reinwald , Sameep Mehta
IPC分类号： G06K9/62 , G06F40/166 , G06F40/284 , G06F21/62 , G06N3/02
摘要： One embodiment provides a computer implemented method, including: obtaining an information document corresponding to an entity, wherein the information document includes redacted information spans; identifying an entity type for each of the redacted information spans, wherein the entity type identifies a relationship between a redacted information span and at least one other entity within the information document; replacing the redacted information spans with replacement entities corresponding to the entity type of a given redacted information span, wherein the replacing is performed in view of a frequency distribution of actual information and wherein the replacing includes maintaining relationships of the redacted information spans; and controlling bias within the replacement entities, wherein the controlling includes detecting bias within the replacement entities.

3. 发明授权

US11263188B2 Generation and management of an artificial intelligence (AI) model documentation throughout its life cycle 有权
公开(公告)号：US11263188B2
公开(公告)日：2022-03-01
申请号：US16672312
申请日：2019-11-01
申请人： International Business Machines Corporation
发明人： Matthew R. Arnold , Rachel K. E. Bellamy , Kaoutar El Maghraoui , Michael Hind , Stephanie Houde , Kalapriya Kannan , Sameep Mehta , Aleksandra Mojsilovic , Ramya Raghavendra , Darrell C. Reimer , John T. Richards , David J. Piorkowski , Jason Tsay , Kush R. Varshney , Manish Kesarwani
IPC分类号： G06F16/21 , G06N20/00
摘要： A method for automatically generating documentation for an artificial intelligence model includes receiving, by a computing device, an artificial intelligence model. The computing device accesses a model facts policy that indicates data to be collected for artificial intelligence models. The computing device collects artificial intelligence model facts regarding the artificial intelligence model according to the model facts policy. The computing device accesses a factsheet template. The factsheet template provides a schema for an artificial intelligence model factsheet for the artificial intelligence model. The computing device populates the artificial intelligence model factsheet using the factsheet template with the artificial intelligence model facts related to the artificial intelligence model.

4. 发明申请

US20210258160A1 ARTIFICIAL INTELLIGENCE CERTIFICATION OF FACTSHEETS USING BLOCKCHAIN 有权
公开(公告)号：US20210258160A1
公开(公告)日：2021-08-19
申请号：US16795455
申请日：2020-02-19
申请人： International Business Machines Corporation
发明人： Kalapriya Kannan , Pranay Kumar Lohia , Samuel Hoffman , Kush Raj Varshney , Sameep Mehta
IPC分类号： H04L9/32 , H04L9/06 , G06N3/08
摘要： A method for blockchain certification of artificial intelligence factsheets that includes receiving by a computing device, an artificial intelligence model. The computing device generates an artificial intelligence factsheet based upon logic of the artificial intelligence model. The computing device generates a blockchain link for a blockchain. The blockchain link certifies the artificial intelligence factsheet. The computing device transmits the blockchain link certifying the artificial intelligence factsheet to other computing devices.

5. 发明申请

US20180268014A1 METHOD FOR CAPTURING EVOLVING DATA 审中-公开
公开(公告)号：US20180268014A1
公开(公告)日：2018-09-20
申请号：US15462693
申请日：2017-03-17
申请人： International Business Machines Corporation
发明人： Kerrie L. Holley , Srikanta Bedathur Jagannath , Kalapriya Kannan , Gandhi Sivakumar
IPC分类号： G06F17/30
摘要： A method for capturing evolving data, comprising observing a data graph, identifying a first entity within the graph, defining a first property of the first entity, and identifying a first data value corresponding to the property and the entity. The method further comprises associating a second entity with the first entity at first data value, and forming a dimension of the first entity with associations to other entities within the graph for different data values of the first property. Identifying the first entity comprises identifying a property of the first entity representing a dimension but the property does not relate to other entities through the dimension. Defining the first property comprises identifying an attribute of the first entity that will not change; establishing the attribute as the first property.

6. 发明授权

US11483154B2 Artificial intelligence certification of factsheets using blockchain 有权
公开(公告)号：US11483154B2
公开(公告)日：2022-10-25
申请号：US16795455
申请日：2020-02-19
申请人： International Business Machines Corporation
发明人： Kalapriya Kannan , Pranay Kumar Lohia , Samuel Hoffman , Kush Raj Varshney , Sameep Mehta
IPC分类号： H04L9/32 , H04L9/06 , H04L9/00 , G06N3/08
摘要： A method for blockchain certification of artificial intelligence factsheets that includes receiving by a computing device, an artificial intelligence model. The computing device generates an artificial intelligence factsheet based upon logic of the artificial intelligence model. The computing device generates a blockchain link for a blockchain. The blockchain link certifies the artificial intelligence factsheet. The computing device transmits the blockchain link certifying the artificial intelligence factsheet to other computing devices.

7. 发明授权

US11436237B2 Ranking datasets based on data attributes 有权
公开(公告)号：US11436237B2
公开(公告)日：2022-09-06
申请号：US17125935
申请日：2020-12-17
申请人： International Business Machines Corporation
发明人： Manjit Singh Sodhi , Kalapriya Kannan , Poornima Iyengar
IPC分类号： G06F7/08 , G06F16/2457
摘要： Ranking a group of datasets using a computer includes determining a set of target data fields from a set of process documents that indicate user data field preferences. A set of target dataset attributes from a set of data use documents indicate user data scope preferences. A plurality of metadata sets for an associated plurality of datasets the computer determines having a field suitability value exceeding a predetermined suitability threshold value. The FSV represents a degree of similarity between a set of fields associated with said dataset and the set of target data fields. The computer assesses metadata sets with regard to the target attributes and generates a compared attribute score for each candidate dataset. A degree of likelihood is indicated that an associated dataset will have content exhibiting said target dataset attributes. The computer candidate datasets is based on the compared attribute score.

8. 发明申请

US20210012404A1 Generating a Framework for Prioritizing Machine Learning Model Offerings Via a Platform 有权
公开(公告)号：US20210012404A1
公开(公告)日：2021-01-14
申请号：US16504629
申请日：2019-07-08
申请人： International Business Machines Corporation
发明人： Kalapriya Kannan , Samiulla Zakir Hussain Shaikh , Pranay Kumar Lohia , Vijay Arya , Sameep Mehta
IPC分类号： G06Q30/06 , G06N20/00
摘要： Methods, systems, and computer program products for generating a framework for prioritizing machine learning model offerings via a platform are provided herein. A computer-implemented method includes processing, via a computing platform, a machine learning model input by a first user and metadata corresponding to the machine learning model input by the first user; automatically comparing, via the computing platform, the metadata corresponding to the machine learning model with metadata corresponding to one or more existing machine learning models stored by the computing platform; automatically calculating, via the computing platform, initial pricing information for the machine learning model based on the comparison; and outputting, via an interactive user interface of the computing platform, the machine learning model to one or more additional users for purchase in accordance with the calculated initial pricing information.

9. 发明授权

US09219692B2 Reducing latencies through packet aggregation 有权
标题翻译：通过分组聚合减少延迟
公开(公告)号：US09219692B2
公开(公告)日：2015-12-22
申请号：US13869536
申请日：2013-04-24
申请人： International Business Machines Corporation
发明人： Kalapriya Kannan , Anuradha Bhamidipaty
IPC分类号： H04L12/801
CPC分类号： H04L47/18
摘要： Techniques, systems, and articles of manufacture for reducing latencies through packet aggregation. A method includes computing an end-to-end latency for each of multiple data packets to reach a pre-determined destination, determining an aggregation scheme with a corresponding aggregation time for each of the multiple data packets, wherein the aggregation time encompasses the time needed to transmit each of the multiple data packets to an aggregation component and the time spent waiting to output the aggregation component to an output port, and wherein the aggregation time is less than the computed end-to-end latency for each of the multiple data packets, aggregating each of the multiple data packets in accordance with the aggregation scheme, and programming the aggregation component with the aggregation scheme.
摘要翻译：用于通过分组聚合减少延迟的技术，系统和制品。一种方法包括计算多个数据分组中的每一个到达预定目的地的端到端等待时间，为每个多个数据分组确定具有相应聚合时间的聚合方案，其中聚合时间包括所需的时间将多个数据分组中的每一个传送到聚合组件，以及等待输出聚合组件到输出端口的时间，并且其中聚合时间小于所计算的多个数据分组中的每个数据分组的端到端等待时间根据聚合方案聚合多个数据分组中的每一个，并使用聚合方案对聚合组件进行编程。

10. 发明申请

US20150339752A1 Deriving Dynamic Consumer Defined Product Attributes from Input Queries 有权
标题翻译：从输入查询导出动态消费者定义的产品属性
公开(公告)号：US20150339752A1
公开(公告)日：2015-11-26
申请号：US14816930
申请日：2015-08-03
申请人： International Business Machines Corporation
发明人： Madhu K. Chetuparambil , George T. Jacob Sushil , Kalapriya Kannan
IPC分类号： G06Q30/06 , G06Q30/02 , G06F17/30
CPC分类号： G06Q30/0625 , G06F17/30528 , G06F17/3053 , G06F17/30864 , G06F17/30979 , G06Q30/0256 , G06Q30/0282
摘要： Methods and systems of defining product attributes may involve receiving a search query and extracting a user expectation from the search query. In addition, an attribute may be defined for a product based on the user expectation. In one example, consumer generated content such as forum content, review content, blog content and social networking content, is used to define the attribute.
摘要翻译：定义产品属性的方法和系统可以涉及从搜索查询中接收搜索查询和提取用户期望。此外，可以基于用户期望为产品定义属性。在一个示例中，消费者生成的内容（例如论坛内容，评论内容，博客内容和社交网络内容）被用于定义属性。

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