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公开(公告)号：US11915478B2
公开(公告)日：2024-02-27
申请号：US17350764
申请日：2021-06-17
申请人： Google LLC
发明人： Michael Greene
IPC分类号： G06T7/73 , G06V20/10 , G06T7/11 , G06T7/70 , G06F16/387 , G06F18/2415 , G06F18/20
CPC分类号： G06V20/176 , G06F16/387 , G06F18/24155 , G06F18/29 , G06T7/11 , G06T7/70 , G06T2207/20104
摘要： A location of an object of interest (205) is determined using both observations and non-observations. Numerous images (341-345) are stored in a database in association with image capture information, including an image capture location (221-225). Image recognition is used to determine which of the images include the object of interest (205) and which of the images do not include the object of interest. For each of multiple candidate locations (455) within an area of the captured images, a likelihood value of the object of interest existing at the candidate location is calculated using the image capture information for images determined to include the object of interest and using the image capture information for images determined not to include the object of interest. The location of the object is determined using the likelihood values for the multiple candidate locations.
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公开(公告)号：US20230364863A1
公开(公告)日：2023-11-16
申请号：US18225246
申请日：2023-07-24
发明人： Michael J. Foshey , Timothy P. Erps , Mina Konakovic Lukovic , Wojciech Matusik , Wan Shou , Klaus Stoll , Bernhard Ulrich von Vacano , Hanns Hagen Goetzke
IPC分类号： B29C64/393 , C09D11/101 , B29C64/124 , B29C64/112 , B33Y70/00 , G06F18/2415
CPC分类号： B29C64/393 , C09D11/101 , B29C64/124 , B29C64/112 , B33Y70/00 , G06F18/24155
摘要： Systems and methods for optimizing the formulation of materials are provided. The systems and methods employ a data-driven, iterative approach to derivate optimal material formulations. One portion of the system includes a sample automation system that outputs the material samples to be tested, and a second portion of the system includes an optimization engine that analyzes data extracted from the material samples and generates additional formulations for materials to be printed and tested. This process continues so that optimal material formulations can be determined based on desired mechanical properties of the material to be optimized. The optimization engine can further be capable of predicting results of formulation that have not yet been tested and using those predictions to further drive the next suggested materials to be tested.
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公开(公告)号：US11810364B2
公开(公告)日：2023-11-07
申请号：US16989743
申请日：2020-08-10
IPC分类号： G06K9/00 , G01N21/88 , B60W40/06 , B60W30/18 , B60W50/14 , B60W30/02 , G01C21/00 , G06T7/11 , G06V20/58 , G01S17/931 , B60G17/0165 , E01C23/01 , G06N3/02 , G06F18/2415
CPC分类号： G06V20/58 , B60G17/0165 , B60W30/02 , B60W30/18163 , B60W40/06 , B60W50/14 , E01C23/01 , G01C21/3822 , G01N21/8806 , G01S17/931 , G06F18/24155 , G06N3/02 , G06T7/11 , B60G2800/162 , B60W2050/146 , B60W2420/42 , B60W2420/52 , B60W2552/00 , G06T2207/10028 , G06T2207/20076 , G06T2207/20081 , G06T2207/20084 , G06T2207/30261
摘要： A vehicle safety system and technique are described. In one example, a vehicle safety system communicably coupled to a vehicle, comprises processing circuitry coupled to a camera unit and a LiDAR sensor, the processing circuitry to execute logic operative to analyze an image captured by one or more cameras to identify predicted regions of road damage, correlate LiDAR sensor data with the predicted regions of road damage, analyze the LiDAR sensor data correlated with the predicted regions of road damage to identify regions of road damage in three-dimensional space; and output one or more indications of the identified regions of road damage, wherein the processing circuitry is coupled to an interface to the vehicle, the processing circuitry to output an identification of road damage.
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44.发明授权公开(公告)号：US11803618B2
公开(公告)日：2023-10-31
申请号：US17989536
申请日：2022-11-17
申请人： TENCENT AMERICA LLC
发明人： Chao Weng , Jia Cui , Guangsen Wang , Jun Wang , Chengzhu Yu , Dan Su , Dong Yu
IPC分类号： G06F18/20 , G06V10/70 , G10L15/06 , G06N3/044 , G06N3/045 , G06N3/08 , G06F18/2415 , G06N20/00 , G06F40/47
CPC分类号： G06F18/24155 , G06F18/29 , G06F40/47 , G06N20/00 , G06V10/768 , G10L15/063
摘要： A method and apparatus are provided that analyzing sequence-to-sequence data, such as sequence-to-sequence speech data or sequence-to-sequence machine translation data for example, by minimum Bayes risk (MBR) training a sequence-to-sequence model and within introduction of applications of softmax smoothing to an N-best generation of the MBR training of the sequence-to-sequence model.
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公开(公告)号：US20230342392A1
公开(公告)日：2023-10-26
申请号：US18342461
申请日：2023-06-27
申请人： Brian McCarson
发明人： Brian McCarson
IPC分类号： G06F16/587 , G08G3/00 , G06F16/907 , G08G1/01 , G08G5/00 , G06N3/08 , G06V20/13 , G06F18/20 , G06F18/2133 , G06F18/2415 , G06N7/01 , G06V10/764 , G06V10/84 , G06V20/10
CPC分类号： G06F16/587 , G08G3/00 , G06F16/907 , G08G1/0133 , G08G5/0004 , G06N3/08 , G06V20/13 , G06F18/29 , G06F18/2133 , G06F18/24155 , G06N7/01 , G06V10/764 , G06V10/84 , G06V20/188
摘要： Generative AI systems and methods are provided to produce leading indicators of economic activity based on, for example, agricultural, fishing, mining, lumber harvesting, environmental, or ecological attributes and other factors determined from a range of available data sources. A consistent, semantic metadata structure is described as well as a hypothesis generating and testing system capable of generating predictive analytics models in a non-supervised or partially supervised mode. Users may then subscribe to the date for the use in economic forecasting.
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公开(公告)号：US11797732B2
公开(公告)日：2023-10-24
申请号：US17245000
申请日：2021-04-30
IPC分类号： G06F30/27 , G06F30/392 , G06N3/084 , G06F30/398 , G06F30/337 , G06N20/00 , G06N3/08 , G06N20/20 , G06F30/367 , G06F30/373 , G06F30/3308 , G06F18/2415 , G06N3/045 , G06F111/20 , G06F111/04
CPC分类号： G06F30/27 , G06F18/24155 , G06F30/337 , G06F30/3308 , G06F30/367 , G06F30/373 , G06F30/392 , G06F30/398 , G06N3/045 , G06N3/08 , G06N3/084 , G06N20/00 , G06N20/20 , G06F2111/04 , G06F2111/20
摘要： A technique for designing circuits including receiving a data object representing a circuit for a first process technology, the circuit including a first sub-circuit, the first sub-circuit including a first electrical component and a second electrical component arranged in a first topology; identifying the first sub-circuit in the data object by comparing the first topology to a stored topology, the stored topology associated with the first process technology; identifying a first set of physical parameter values associated with first electrical component and the second electrical component of the first sub-circuit; determining a set of performance parameter values for the first sub-circuit based on a first machine learning model of the first sub-circuit and the identified set of physical parameters; converting the identified first sub-circuit to a second sub-circuit for the second process technology based on the determined set of performance parameter values; and outputting the second sub-circuit.
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公开(公告)号：US11767030B1
公开(公告)日：2023-09-26
申请号：US17207451
申请日：2021-03-19
申请人： Zoox, Inc.
IPC分类号： B60W60/00 , G06V20/56 , G06F18/2415
CPC分类号： B60W60/0011 , B60W60/0015 , G06F18/24155 , G06V20/56
摘要： Techniques are discussed herein for determining truncated simulation regions within a parameter space of simulation scenarios, such as driving scenarios used to analyze and evaluate the responses of autonomous vehicle controllers. Using non-sampling-based parameter selection techniques, parameterized scenarios may be executed as simulations to determine the truncated simulation region. Sampling-based parameter selection techniques may be used to determine additional parameterized scenarios, which may be compared to the truncated simulation region. Parameterized scenarios within the truncated simulation region may be executed as simulations and scenarios outside of the truncated simulation region may be excluded, and the aggregated results may be analyzed to determine scenario/vehicle performance metrics across the scenario parameter space.
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公开(公告)号：US11741391B2
公开(公告)日：2023-08-29
申请号：US16576046
申请日：2019-09-19
IPC分类号： G06N20/00 , G06N10/00 , G06N10/60 , G06F18/20 , G06F18/2415 , G06V10/764
CPC分类号： G06N20/00 , G06F18/24155 , G06F18/29 , G06N10/00 , G06N10/60 , G06V10/764
摘要： Systems, computer-implemented methods, and computer program products that can facilitate quantum topological classification are described. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a topological component that employs one or more quantum computing operations to identify one or more persistent homology features of a topological simplicial structure. The computer executable components can further comprise a topological classifier component that employs one or more machine learning models to classify the topological simplicial structure based on the one or more persistent homology features.
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公开(公告)号：US11727175B2
公开(公告)日：2023-08-15
申请号：US17245022
申请日：2021-04-30
IPC分类号： G06F30/27 , G06F30/392 , G06N3/084 , G06F30/398 , G06F30/337 , G06N20/00 , G06N3/08 , G06N20/20 , G06F30/367 , G06F30/373 , G06F30/3308 , G06F18/2415 , G06N3/045 , G06F111/20 , G06F111/04
CPC分类号： G06F30/27 , G06F18/24155 , G06F30/337 , G06F30/3308 , G06F30/367 , G06F30/373 , G06F30/392 , G06F30/398 , G06N3/045 , G06N3/08 , G06N3/084 , G06N20/00 , G06N20/20 , G06F2111/04 , G06F2111/20
摘要： A technique for designing circuits including receiving a data object representing a circuit for a first process technology, the circuit including a first sub-circuit, the first sub-circuit including a first electrical component and a second electrical component arranged in a first topology; identifying the first sub-circuit in the data object by comparing the first topology to a stored topology, the stored topology associated with the first process technology; identifying a first set of physical parameter values associated with first electrical component and the second electrical component of the first sub-circuit; determining a set of performance parameter values for the first sub-circuit based on a first machine learning model of the first sub-circuit and the identified set of physical parameters; converting the identified first sub-circuit to a second sub-circuit for the second process technology based on the determined set of performance parameter values; and outputting the second sub-circuit.
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公开(公告)号：US11687549B2
公开(公告)日：2023-06-27
申请号：US17505789
申请日：2021-10-20
申请人： SAP SE
发明人： Kumaraswamy Gowda , Nithya Rajagopalan , Nishant Kumar , Panish Ramakrishna , Rajendra Vuppala , Erica Vandenhoek
IPC分类号： G06F16/25 , G06F40/295 , G06F40/177 , G06F40/49 , G06F18/2415
CPC分类号： G06F16/258 , G06F18/24155 , G06F40/177 , G06F40/295 , G06F40/49
摘要： The present disclosure involves systems, software, and computer implemented methods for creating line item information from tabular data. One example method includes receiving event data values at a system. Column headers of columns in the event data values are identified. At least one column header is not included in standard line item terms used by the system. Column values of the columns in the event data values are identified. The identified column headers and the identified column values are processed using one or more models to map each column to a standard line item term used by the system. The processing includes using context determination and content recognition to identify standard line item terms. An event is created in the system, including the creation of line items from the identified column value. Each line item includes standard line item terms mapped to the columns.
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