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公开(公告)号:US12124806B2
公开(公告)日:2024-10-22
申请号:US17494744
申请日:2021-10-05
申请人: UiPath, Inc.
发明人: Christian Mayer , Mircea Neagovici , Cosmin Voicu
IPC分类号: G06F40/30 , G06F3/0481 , G06F40/289 , G06N20/00 , G06V30/148 , G06F17/10 , G06F17/18 , G06F30/20 , G06V30/10
CPC分类号: G06F40/30 , G06F3/0481 , G06F40/289 , G06N20/00 , G06V30/153 , G06F17/10 , G06F17/18 , G06F30/20 , G06V30/10
摘要: Semantic matching between a source screen or source data and a target screen using semantic artificial intelligence (AI) for robotic process automation (RPA) workflows is disclosed. The source data or source screen and the target screen are selected on a matching interface, semantic matching is performed between the source data/screen and the target screen using an artificial intelligence/machine learning (AI/ML) model, and matching graphical elements and unmatched graphical elements are highlighted, allowing the developer to see which graphical elements match and which do not. The matching interface may also provide a confidence score of the individual matches, provide an overall mapping score, and allow the developer to hide/unhide the matched/unmatched graphical elements. Activities of an RPA workflow may be automatically created based on the semantic mapping that can be executed to perform the automation.
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公开(公告)号:US12086693B2
公开(公告)日:2024-09-10
申请号:US16419846
申请日:2019-05-22
发明人: Guang C. Wang , Kenny C. Gross
CPC分类号: G06N20/00 , G05B23/0218 , G05B23/0283 , G06F17/10 , G06N7/01 , H04L63/1425
摘要: The disclosed embodiments provide a system that performs seasonality-compensated prognostic-surveillance operations for an asset. During operation, the system obtains time-series sensor signals gathered from sensors in the asset during operation of the asset. Next, the system identifies seasonality modes in the time-series sensor signals. The system then determines frequencies and phase angles for the identified seasonality modes. Next, the system uses the determined frequencies and phase angles to filter out the seasonality modes from the time-series sensor signals to produce seasonality-compensated time-series sensor signals. The system then applies an inferential model to the seasonality-compensated time-series sensor signals to detect incipient anomalies that arise during operation of the asset. Finally, when an incipient anomaly is detected, the system generates a notification regarding the anomaly.
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公开(公告)号:US12073306B2
公开(公告)日:2024-08-27
申请号:US17551967
申请日:2021-12-15
发明人: Jiajun Li , Ahmed Louri
CPC分类号: G06N3/045 , G06F7/5443 , G06N3/063
摘要: Systems and methods are disclosed for a centrosymmetric convolutional neural network (CSCNN), an algorithm/hardware co-design framework for CNN compression and acceleration that mitigates the effects of computational irregularity and effectively exploits computational reuse and sparsity for increased performance and energy efficiency.
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公开(公告)号:US20240242361A1
公开(公告)日:2024-07-18
申请号:US18156061
申请日:2023-01-18
申请人: INUITIVE LTD.
发明人: Edward ELIKHIS , Dor PERETZ
摘要: A computational platform and a method for use in a process of matching pairs of pixels, wherein each of the members of a pixel's pair belong to another image captured by a different image capturing sensor, and wherein the computational platform comprises at least one processor configured to carry out a process of matching pairs of pixels based on selecting a pixel mask to be used by selecting neighboring pixels of a given pixel from among all of its neighboring pixels, will be used for the matching process of said given pixel with the other member of its pixel's pair.
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公开(公告)号:US12026440B1
公开(公告)日:2024-07-02
申请号:US17985850
申请日:2022-11-12
IPC分类号: G06F17/10 , G06F17/18 , G06F30/20 , G06F111/10
CPC分类号: G06F30/20 , G06F17/18 , G06F2111/10
摘要: A method for use of airport runway capacity includes receiving, at an air traffic control system at an airport, airport data related to movement areas of the airport, time data related to a time period, aircraft data related to a plurality of aircraft expected to operate into and out of the airport during the time period, and environmental data related to environmental conditions predicted for the airport during the time period. The method further includes computing a probability distribution for inter-aircraft spacing by applying the airport data, the time data, the aircraft data, and the environmental data to a trained Bayesian network, producing the probability distribution for the inter-aircraft spacing as an output observation of the trained Bayesian network, and, using the probability distribution and a confidence value, identifying an inter-aircraft spacing value for the plurality of aircraft expected to operate into and out of the airport during the time period.
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公开(公告)号:US12016635B2
公开(公告)日:2024-06-25
申请号:US17330521
申请日:2021-05-26
申请人: HeartFlow, Inc.
发明人: Charles A. Taylor
IPC分类号: G06T7/00 , A61B5/00 , A61B5/02 , A61B5/021 , A61B5/024 , A61B5/026 , A61B5/029 , A61B5/055 , A61B5/107 , A61B5/11 , A61B5/22 , A61B6/00 , A61B6/03 , A61B6/50 , A61B8/02 , A61B8/04 , A61B8/06 , A61B8/08 , A61B34/00 , A61B34/10 , A61M5/00 , G01R33/56 , G01R33/563 , G06F17/10 , G06F18/10 , G06F18/22 , G06F18/24 , G06F30/20 , G06F30/23 , G06F30/28 , G06G7/60 , G06T7/11 , G06T7/12 , G06T7/13 , G06T7/149 , G06T7/20 , G06T7/60 , G06T7/62 , G06T7/70 , G06T7/73 , G06T11/00 , G06T11/20 , G06T11/60 , G06T15/10 , G06T17/00 , G06T17/20 , G06V10/40 , G06V10/42 , G06V10/44 , G06V20/69 , G16B5/00 , G16B45/00 , G16H10/40 , G16H10/60 , G16H30/20 , G16H30/40 , G16H50/30 , G16H50/50 , G16H50/70 , G16H70/00 , A61B90/00 , G06T7/10 , G06V10/46
CPC分类号: A61B34/10 , A61B5/0035 , A61B5/004 , A61B5/0044 , A61B5/02 , A61B5/02007 , A61B5/02028 , A61B5/021 , A61B5/024 , A61B5/026 , A61B5/0263 , A61B5/029 , A61B5/055 , A61B5/1075 , A61B5/1118 , A61B5/22 , A61B5/4848 , A61B5/6852 , A61B5/7246 , A61B5/7275 , A61B5/7278 , A61B5/745 , A61B6/03 , A61B6/032 , A61B6/481 , A61B6/503 , A61B6/504 , A61B6/507 , A61B6/5205 , A61B6/5217 , A61B6/5229 , A61B8/02 , A61B8/04 , A61B8/06 , A61B8/065 , A61B8/481 , A61B8/5223 , A61B8/5261 , A61B34/25 , A61M5/007 , G01R33/5601 , G01R33/5635 , G01R33/56366 , G06F17/10 , G06F18/10 , G06F18/22 , G06F18/24 , G06F30/20 , G06F30/23 , G06F30/28 , G06G7/60 , G06T7/0012 , G06T7/0014 , G06T7/11 , G06T7/12 , G06T7/13 , G06T7/149 , G06T7/20 , G06T7/60 , G06T7/62 , G06T7/70 , G06T7/73 , G06T7/74 , G06T11/00 , G06T11/001 , G06T11/008 , G06T11/20 , G06T11/60 , G06T15/10 , G06T17/00 , G06T17/005 , G06T17/20 , G06V10/40 , G06V10/42 , G06V10/44 , G06V20/698 , G16B5/00 , G16B45/00 , G16H10/40 , G16H10/60 , G16H30/20 , G16H30/40 , G16H50/30 , G16H50/50 , G16H50/70 , G16H70/00 , A61B5/6868 , A61B2034/104 , A61B2034/105 , A61B2034/107 , A61B2034/108 , A61B2090/374 , A61B2090/3762 , A61B2090/3764 , A61B2576/00 , A61B2576/023 , G06T7/10 , G06T2200/04 , G06T2207/10012 , G06T2207/10072 , G06T2207/10081 , G06T2207/10088 , G06T2207/10104 , G06T2207/10108 , G06T2207/20036 , G06T2207/20124 , G06T2207/30016 , G06T2207/30048 , G06T2207/30104 , G06T2210/41 , G06T2211/404 , G06V10/467 , Y02A90/10 , G06T7/0012 , G06T2207/30048
摘要: Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.
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公开(公告)号:US20240193313A1
公开(公告)日:2024-06-13
申请号:US18581410
申请日:2024-02-20
申请人: CAD-Sense LLC
发明人: Alyn P. Rockwood
摘要: A method and system for computer aided design (CAD) is disclosed for designing geometric objects, wherein interpolation and/or blending between such objects is performed while deformation data is being input. Thus, a designer obtains immediate feedback to input modifications without separately entering a command(s) for performing such deformations. A novel N-sided surface generation technique is also disclosed herein to efficiently and accurately convert surfaces of high polynomial degree into a collection of lower degree surfaces. E.g., the N-sided surface generation technique disclosed herein subdivides parameter space objects (e.g., polygons) of seven or more sides into a collection of subpolygons, wherein each subpolygon has a reduced number of sides. More particularly, each subpolygon has 3 or 4 sides. The present disclosure is particularly useful for designing the shape of surfaces. Thus, the present disclosure is applicable to various design domains such as the design of, e.g., bottles, vehicles, and watercraft. Additionally, the present disclosure provides for efficient animation via repeatedly modifying surfaces of an animated object such as a representation of a face.
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公开(公告)号:US11995057B2
公开(公告)日:2024-05-28
申请号:US17652266
申请日:2022-02-23
申请人: Ocient Inc.
CPC分类号: G06F16/221 , G06F16/2365 , G06F16/24578 , G06F16/25 , G06F16/285 , G06F17/10
摘要: A method for execution by a computer of a database management system includes obtaining a dataset that includes a set of data records, where the data set is associated with a set of data characteristics. The method further includes ranking analytical calculations of a list of analytical calculations that are able to be executed on the dataset based on the set of data characteristics and a set of analytical calculation characteristics associated with the list of analytical calculations to produce a ranked list of analytical calculations. The method further includes selecting an analytical calculation from the ranked list of analytical calculations based on the ranking. The method further includes executing the selected analytical calculation on the dataset to produce an analytical calculation result.
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公开(公告)号:US20240152571A1
公开(公告)日:2024-05-09
申请号:US18407017
申请日:2024-01-08
发明人: Richard B. Jones
CPC分类号: G06F17/10 , G01N33/0004 , G06F17/18 , G06N5/04 , G06F7/588
摘要: A system and method is described herein for data filtering to reduce functional, and trend line outlier bias. Outliers are removed from the data set through an objective statistical method. Bias is determined based on absolute, relative error, or both. Error values are computed from the data, model coefficients, or trend line calculations. Outlier data records are removed when the error values are greater than or equal to the user-supplied criteria. For optimization methods or other iterative calculations, the removed data are re-applied each iteration to the model computing new results. Using model values for the complete dataset, new error values are computed and the outlier bias reduction procedure is re-applied. Overall error is minimized for model coefficients and outlier removed data in an iterative fashion until user defined error improvement limits are reached. The filtered data may be used for validation, outlier bias reduction and data quality operations.
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公开(公告)号:US11960884B2
公开(公告)日:2024-04-16
申请号:US17517351
申请日:2021-11-02
申请人: Intel Corporation
发明人: Robert Valentine , Mark Charney , Raanan Sade , Elmoustapha Ould-Ahmed-Vall , Jesus Corbal , Roman S. Dubtsov
CPC分类号: G06F9/3001 , G06F7/4812 , G06F9/30014 , G06F9/30109 , G06F9/3013 , G06F9/3016 , G06F7/4806 , G06F9/30167 , G06F9/382 , G06F9/3824 , G06F17/10
摘要: An embodiment of the invention is a processor including execution circuitry to calculate, in response to a decoded instruction, a result of a complex multiplication of a first complex number and a second complex number. The calculation includes a first operation to calculate a first term of a real component of the result and a first term of the imaginary component of the result. The calculation also includes a second operation to calculate a second term of the real component of the result and a second term of the imaginary component of the result. The processor also includes a decoder, a first source register, and a second source register. The decoder is to decode an instruction to generate the decoded instruction. The first source register is to provide the first complex number and the second source register is to provide the second complex number.
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