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公开(公告)号:US20240338360A1
公开(公告)日:2024-10-10
申请号:US18748967
申请日:2024-06-20
发明人: Jing QU
IPC分类号: G06F16/23 , G06F11/34 , G06F16/2453 , G06F16/25
CPC分类号: G06F16/2386 , G06F11/3409 , G06F16/2453 , G06F16/258
摘要: A method of querying an information, an electronic device, and a storage medium are provided, which relate to a field of artificial intelligence technology, in particular to fields of large language model, information processing and intelligent office technologies. The method includes: acquiring a time period to be queried, a number of items to be queried and an object identification of a target object corresponding to the information query request, in response to receiving the information query request from the target object; processing the time period to be queried, the number of items to be queried, the object identification and a predetermined parameter format text to obtain a target parameter, where the target parameter represents an input parameter of a query interface of an information query system; and acquiring, by invoking the query interface, a target information from the information query system based on the target parameter.
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公开(公告)号:US20240281423A1
公开(公告)日:2024-08-22
申请号:US18170842
申请日:2023-02-17
申请人: PAYPAL, INC.
发明人: Jean-Georges Perrin
IPC分类号: G06F16/21 , G06F16/2453
CPC分类号: G06F16/219 , G06F16/2453
摘要: There are provided systems and methods for dynamic data query routing for managing access to datasets having multiple versions. A service provider, such as an electronic transaction processor for digital transactions, may provide data for different applications including local device-side software applications and web-based or server-side applications. The data may be read and provided within the application, for example, for output or processing, as well as operated on in the applications to update, add to, or delete from corresponding records. When retrieving or loading data, a data quantum may be used in a data mesh to abstract database physical locations and utilize logical names that allow for applications to code and query for data without direct entanglement with databases and corresponding stored datasets for the data. A router may then be used to route requests and queries for the data to optimized databases for the data.
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公开(公告)号:US20240264998A1
公开(公告)日:2024-08-08
申请号:US18441163
申请日:2024-02-14
申请人: NetApp, Inc.
发明人: Wesley R. Witte , Youyuan Wu
IPC分类号: G06F16/22 , G06F16/2453
CPC分类号: G06F16/2291 , G06F16/2453 , G06F2201/80
摘要: Systems, methods, and machine-readable media are disclosed for isolating and reporting a volume placement error for a request to place a volume on a storage platform. A volume placement service requests information from a database using an optimized database query to determine an optimal location to place a new volume. The database returns no results. The volume placement service deconstructs the optimized database query to extract a plurality of queries. The volume placement service iterates over the plurality queries, combining queries in each iteration, to determine a cause for the database to return no results. The volume placement service determines based on the results of each iterative database request a cause the database to return an empty result. The volume placement service provides an indication of the cause for returning an empty result.
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公开(公告)号:US20240220330A1
公开(公告)日:2024-07-04
申请号:US18401598
申请日:2023-12-31
申请人: Teradata US, Inc.
IPC分类号: G06F9/50 , G06F16/2453
CPC分类号: G06F9/505 , G06F9/5072 , G06F16/2453 , G06F2209/501 , G06F2209/5014 , G06F2209/505
摘要: A system may include a storage device. The system may include a plurality of processing nodes. The plurality of processing nodes communicates with the storage device. At least one processing node schedules a group of compute nodes to be active during a selected time window. The at least one processing node receives a query and determines that the query is to be executed by one of the plurality of processing nodes and the group of compute nodes. The at least one processing node schedules the query to be executed by the determined one of the plurality of processing nodes or the group of compute nodes. A method and computer-readable medium are also disclosed.
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公开(公告)号:US20240195605A1
公开(公告)日:2024-06-13
申请号:US18542308
申请日:2023-12-15
申请人: Intel Corporation
发明人: Francesc Guim Bernat
IPC分类号: H04L9/08 , B25J15/00 , G06F1/18 , G06F1/20 , G06F3/06 , G06F9/28 , G06F9/44 , G06F9/4401 , G06F9/445 , G06F9/448 , G06F9/48 , G06F9/50 , G06F11/34 , G06F12/02 , G06F12/06 , G06F12/0802 , G06F12/1045 , G06F12/14 , G06F13/16 , G06F13/40 , G06F13/42 , G06F15/16 , G06F15/173 , G06F15/78 , G06F16/11 , G06F16/22 , G06F16/23 , G06F16/2453 , G06F16/2455 , G06F16/248 , G06F16/25 , G06F16/901 , G06F21/10 , G06F30/34 , G06N3/063 , G06Q10/0631 , G06Q30/0283 , G11C8/12 , G11C29/02 , G11C29/36 , G11C29/38 , G11C29/44 , H04L9/40 , H04L41/0213 , H04L41/0668 , H04L41/0677 , H04L41/0893 , H04L41/0896 , H04L41/14 , H04L41/5019 , H04L41/5025 , H04L45/28 , H04L45/7453 , H04L47/11 , H04L47/125 , H04L49/00 , H04L49/351 , H04L49/40 , H04L49/9005 , H04L67/1001 , H04L67/1008 , H04L69/12 , H04L69/22 , H04L69/32 , H04L69/321 , H05K7/14 , H05K7/18 , H05K7/20
CPC分类号: H04L9/0819 , B25J15/0014 , G06F1/183 , G06F1/20 , G06F3/0604 , G06F3/0605 , G06F3/0611 , G06F3/0613 , G06F3/0629 , G06F3/0631 , G06F3/0632 , G06F3/0644 , G06F3/0647 , G06F3/065 , G06F3/0659 , G06F3/067 , G06F3/0673 , G06F3/0683 , G06F3/0685 , G06F9/28 , G06F9/4406 , G06F9/4411 , G06F9/445 , G06F9/4494 , G06F9/5044 , G06F9/505 , G06F9/5088 , G06F11/3442 , G06F12/023 , G06F12/06 , G06F12/0607 , G06F12/14 , G06F13/1663 , G06F13/1668 , G06F13/4068 , G06F13/42 , G06F15/161 , G06F15/17331 , G06F15/7807 , G06F15/7867 , G06F16/119 , G06F16/221 , G06F16/2237 , G06F16/2255 , G06F16/2282 , G06F16/2365 , G06F16/2453 , G06F16/2455 , G06F16/24553 , G06F16/248 , G06F16/25 , G06F16/9014 , G06F30/34 , G11C8/12 , G11C29/028 , G11C29/36 , G11C29/38 , G11C29/44 , H04L9/0894 , H04L41/0213 , H04L41/0668 , H04L41/0677 , H04L41/0893 , H04L41/0896 , H04L41/5025 , H04L45/28 , H04L45/7453 , H04L47/11 , H04L47/125 , H04L49/30 , H04L49/351 , H04L49/9005 , H04L67/1001 , H04L67/1008 , H04L69/12 , H04L69/22 , H04L69/32 , H04L69/321 , H05K7/1489 , H05K7/18 , H05K7/20209 , H05K7/20736 , G06F9/44 , G06F9/4401 , G06F9/4856 , G06F9/5061 , G06F12/0802 , G06F12/1054 , G06F12/1063 , G06F13/4022 , G06F15/1735 , G06F21/105 , G06F2200/201 , G06F2201/85 , G06F2209/509 , G06F2212/1044 , G06F2212/1052 , G06F2212/601 , G06F2213/0026 , G06F2213/0064 , G06F2213/3808 , G06N3/063 , G06Q10/0631 , G06Q30/0283 , H04L41/14 , H04L41/5019 , H04L49/40 , H04L63/0428 , H05K7/1498
摘要: Technologies for dynamic accelerator selection include a compute sled. The compute sled includes a network interface controller to communicate with a remote accelerator of an accelerator sled over a network, where the network interface controller includes a local accelerator and a compute engine. The compute engine is to obtain network telemetry data indicative of a level of bandwidth saturation of the network. The compute engine is also to determine whether to accelerate a function managed by the compute sled. The compute engine is further to determine, in response to a determination to accelerate the function, whether to offload the function to the remote accelerator of the accelerator sled based on the telemetry data. Also the compute engine is to assign, in response a determination not to offload the function to the remote accelerator, the function to the local accelerator of the network interface controller.
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公开(公告)号:US20240168948A1
公开(公告)日:2024-05-23
申请号:US18058359
申请日:2022-11-23
IPC分类号: G06F16/2453 , G06F11/34 , G06F16/21
CPC分类号: G06F16/2453 , G06F11/3457 , G06F16/21
摘要: Learned workload synthesis is disclosed. In an aspect of the present disclosure, a time series dataset corresponding to a target workload is received. A set of performance characteristics is determined from the time series dataset. A call is provided to a prediction model to determine a candidate query sequence based on the determined set of performance characteristics. A synthetic workload is generated based on the determined candidate query sequence. A synthetic workload is generated based on the determined candidate query sequence. A first similarity between a first performance profile of the synthetic workload and a second performance profile of the target workload meets a workload performance threshold condition. A performance insight is determined based on the synthetic workload. In a further aspect, the prediction model is trained to predict performance profiles based on workload profiles generated by executing benchmark queries using hardware and/or software configurations.
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公开(公告)号:US20240168940A1
公开(公告)日:2024-05-23
申请号:US18057776
申请日:2022-11-22
IPC分类号: G06F16/23 , G06F16/2453
CPC分类号: G06F16/2365 , G06F16/2453
摘要: One or more systems, devices, computer program products and/or computer-implemented methods of use provided herein relate to a process for providing an explanation result for an analytical model. A system can comprise a memory that stores computer executable components, and a processor that executes the computer executable components stored in the memory, wherein the computer executable components can comprise an uncertainty component that determines an uncertainty score for a distribution of samples that neighbor a selected input to an analytical model, a sampling component that identifies a subset of the distribution of samples based on the uncertainty score, and an explanation component that generates an explanation of an output of the analytical model, corresponding to the selected input, based on use of a sample from the subset of the distribution of samples.
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公开(公告)号:US20240152512A1
公开(公告)日:2024-05-09
申请号:US17980487
申请日:2022-11-03
申请人: Zulily, LLC
发明人: Tim Decker , Eowyn Baughman , Sean McCain , Sasha Bartashnik , Tyan Hynes
IPC分类号: G06F16/2453 , G06Q30/02
CPC分类号: G06F16/2453 , G06Q30/0201
摘要: Methods and systems described herein may improve search results for items newly added to a database by using machine learning to map historical items in the database to the newly added items. For example, non-conventional methods and systems described herein may use machine learning generated embeddings (e.g., vector representations of items) to determine the extent to which two items are similar to each other. The computing system may assign engagement data associated with a first item to a second item that lacks engagement data. By doing so, the computing system may enable improved search results because the position of items that lack engagement data (e.g., newly added items) may be adjusted based on engagement data associated with similar items.
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公开(公告)号:US11971867B2
公开(公告)日:2024-04-30
申请号:US18145839
申请日:2022-12-22
IPC分类号: G06F16/22 , G06F16/2453 , G06F16/901
CPC分类号: G06F16/221 , G06F16/2453 , G06F16/9024
摘要: Methods, systems, and computer-readable media for global column indexing in a graph database are disclosed. A plurality of data elements of a graph database are stored. The triples comprise identifiers, column names, and values. The column names are globally scoped in the graph database and are associated with data types. Indices corresponding to the column names are created. A particular one of the indices comprises one or more of the values associated with the corresponding column name. A query is performed on the graph database using one or more of the indices corresponding to one of more of the column names associated with the query.
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公开(公告)号:US20240111764A1
公开(公告)日:2024-04-04
申请号:US17959551
申请日:2022-10-04
发明人: Daniel S. Tow
IPC分类号: G06F16/2453 , G06F16/22 , G06F16/2455
CPC分类号: G06F16/2453 , G06F16/2228 , G06F16/24565
摘要: Techniques are disclosed hereafter for efficiently enforcing a “WITHOUT OVERLAP” range constraint by confirming primary-key integrity for a new or modified row (the “target row”) by checking just two neighboring index entries, using a new “two-sided halted range scan” of the same key index on entities which have range-endpoints data as part of their primary key. Techniques are described for reducing search time and resources in situations where a query specifies an entity and a point within a non-overlapping range. Techniques are also described for optimized handling of queries that do not specify a primary key but have both a range condition and a filter on a non-key column.
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