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公开(公告)号：US12008503B2
公开(公告)日：2024-06-11
申请号：US16183222
申请日：2018-11-07
CPC分类号： G06Q10/0635 , G06F9/542 , G06F16/1805 , G06F21/572 , G06N20/20 , H04L9/0637 , H04L9/3236
摘要： An example operation may include one or more of receiving sensor data from one or more sensors associated with a building, storing a block including the sensor data to a shared ledger of a blockchain network, the one or more sensors associated with one or more buildings, requesting a risk assessment for the sensor data, by a blockchain node, calculating the risk assessment with one or more machine learning algorithms based on the sensor data, historical sensor blockchain data, importance of the one or more sensors, and a degree of concern related to the sensor data, providing the risk assessment to the blockchain node, and generating an alert in response to the risk assessment above a threshold.
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公开(公告)号：US11867517B2
公开(公告)日：2024-01-09
申请号：US17016976
申请日：2020-09-10
CPC分类号： G01C21/3415 , G01C21/20 , G01C21/343 , G01S5/0294 , G01S19/42 , H04W4/024 , H04W4/029
摘要： A moving target service receives path of locations of a moving target monitored by a navigation device. The moving target service calculates at least one optimized course for at least one user to follow to intersect with the moving target at one or more future locations predicted based on the path of the locations and based on at least one context record. The moving target service outputs the at least one optimized course to a display interface accessible to the at least one user for directing the user to navigate from a starting point to at least one of the one or more future locations.
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公开(公告)号：US11699514B2
公开(公告)日：2023-07-11
申请号：US16885219
申请日：2020-05-27
发明人： James R. Kozloski , Viatcheslav Gurev , Jaimit Parikh , Paolo Di Achille , Zachary Shahn , Daby Sow
摘要： Dual machine translators are trained by generating a translated medical image by operation of an illustrative model on an original medical record, generating information based on whether the translated medical image is natural in a modality of medical imaging, producing a back-translated medical record by operation of an interpretive model on the translated medical image, calculating a reward by comparing the back-translated medical record to the original medical record, updating parameters of the illustrative model in response to the information and the reward, and updating parameters of the interpretive model in response to the reward.
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4.发明公开公开(公告)号：US20230170057A1
公开(公告)日：2023-06-01
申请号：US17456966
申请日：2021-11-30
摘要： A method, computer system, and a computer program product for model inversion is provided. The present invention may include training a generator of a generative adversarial network to sample a distribution of input parameters of a mechanistic model. The present invention may include generating a distribution of parameters for the mechanistic model. The present invention may include simulating the mechanistic model with the distribution of parameters.
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公开(公告)号：US20220414452A1
公开(公告)日：2022-12-29
申请号：US17360666
申请日：2021-06-28
发明人： Viatcheslav Gurev , James R. Kozloski , Kenney Ng , Jaimit Parikh
摘要： Techniques regarding inferring parameters of one or more mechanistic models are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can comprise a machine learning component that can identify a causal relationship in a mechanistic model via a machine learning architecture that employs a parameter space of the mechanistic model as a learned distribution sampled within a generative adversarial network.
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公开(公告)号：US11423775B2
公开(公告)日：2022-08-23
申请号：US16515957
申请日：2019-07-18
摘要： Methods and systems for predicting congestion duration are described. A processor can detect an occurrence of an incident in an area. The processor can receive context data associated with the area from at least one data source. The processor can execute a prediction engine using the received context data to predict a clearance time indicating a predicted completion time of post-incident activities related to the incident in the area. The processor can determine a congestion duration based on the clearance time. The congestion duration can be an estimated duration of congestion in the area in response to the occurrence of the incident. The processor can compare the congestion duration with a threshold. The processor can select, based on the comparison, at least one operation to optimize an amount of congestion in the area. The processor can execute the selected operations to optimize the amount of congestion in the area.
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公开(公告)号：US11301948B2
公开(公告)日：2022-04-12
申请号：US16371233
申请日：2019-04-01
发明人： Komminist Weldemariam , Isaac Markus Serfaty , Michael S. Gordon , James R. Kozloski , Shikhar Kwatra
摘要： An artificial neural network trained to predict the availability of an unused duration of a parking space based on input features is executed. Input features may include at least a contextual situation associated with the second entity, a behavior factor associated with a first entity that has been using the parking space, geographical location and time, events occurring within a threshold distance from the parking space. The artificial neural network may be further trained to output a transfer affinity based on the predicted availability of an unused duration, the contextual situation associated with the second entity and the behavior factor associated with the first entity. Based at least on the transfer affinity, the second entity can be selected. The unused duration can be transferred to the second entity from the first entity. The transferring can also include storing a payment and associated computation as a blockchain node in a blockchain.
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公开(公告)号：US11295372B2
公开(公告)日：2022-04-05
申请号：US16812128
申请日：2020-03-06
摘要： A method, system, and/or computer program product controls a self-driving vehicle (SDV) based on a purchase transaction at a point of sale (POS) device. One or more processors detects a purchase transaction at a device for a product. In response to detecting the purchase transaction at the POS device, the processors(s) transmits instructions to the SDV to transport a passenger associated with the purchase transaction from a location of the POS device to a predetermined location.
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公开(公告)号：US11249945B2
公开(公告)日：2022-02-15
申请号：US15842582
申请日：2017-12-14
IPC分类号： G06F16/14 , G06F3/0484
摘要： An embodiment of the invention includes a method of managing data items based on context, where markers are associated with the data items, where the markers indicate states of authors of the data items when the data items were created. The markers can be associated with the data items by a processor. A query for a data item can be received from a user via an interface, where the query can include one or more markers indicative of the state of an author of the data item when the data item was created. The results of the query can be displayed, where the results of the query can include data items that are associated with the marker(s).
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公开(公告)号：US11244574B2
公开(公告)日：2022-02-08
申请号：US16812351
申请日：2020-03-08
摘要： A method, system, and/or computer program product controls operations of an aerial drone within a predetermined airspace. One or more processors detects that the aerial drone has entered a predetermined airspace, and also determines a physical size of the aerial drone. In response to detecting that the aerial drone has entered the predetermined airspace, one or more processors directs the aerial drone to alter a velocity of the aerial drone based on its physical size.
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