Patents by Inventor Bianca Zadrozny
Bianca Zadrozny has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Publication number: 20230408726Abstract: A method, computer system, and a computer program for weather prediction are provided. The method may include receiving a first weather event associated with a first location. The present invention may further include inputting the first weather event into a machine learning model generated via mapping historical weather data into a latent space and via identifying, in the latent space, climate teleconnections amongst historical weather events at various locations. The method may further include in response to the inputting, receiving by the computing device a weather prediction for a second location, the weather prediction being based on a predicted climate teleconnection between the first location and the second location with respect to the first weather event, wherein the teleconnections machine learning model maps the first weather event into latent code for the latent space in order to generate the weather prediction for the second location.Type: ApplicationFiled: June 20, 2022Publication date: December 21, 2023Inventors: Dario Augusto Borges Oliveira, Bianca Zadrozny, Campbell D Watson, Jorge Luis Guevara Diaz
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Publication number: 20230376651Abstract: A method, computer system, and a computer program for generating weather simulations based on significant events is provided. The present invention may include receiving a plurality of environmental data associated with a geographic area. The present invention may then include retrieving one or more data feeds including a plurality of events. The present invention may further include associating the plurality of events with a subset of the plurality of environmental data. The present invention may further include generating a knowledge graph for the geographic area based on the association.Type: ApplicationFiled: May 18, 2022Publication date: November 23, 2023Inventors: Bianca Zadrozny, Campbell D Watson, Dario Augusto Borges Oliveira, Jorge Luis Guevara Diaz
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Patent number: 11719842Abstract: A system, method and program product for implementing a machine learning platform that processes a data map having feature and operational information. A system is disclosed that includes an interpretable machine learning model that generates a function in response to an inputted data map, wherein the data map includes feature data and operational data over a region of interest, and wherein the function relates a set of predictive variables to one or more response variables; an integration/interpolation system that generates the data map from a set of disparate data sources; and an analysis system that evaluates the function to predict outcomes at unique points in the region of interest.Type: GrantFiled: November 14, 2018Date of Patent: August 8, 2023Assignees: International Business Machines Corporation, Shell USA, Inc.Inventors: Jorge Luis Guevara Diaz, Bianca Zadrozny, Breno William Santos Rezende de Carvalho, Alvaro Bueno Buoro, Matthias Kormaksson, Ligang Lu, John Tolle, Detlef Hohl, Jan Limbeck, Mingqi Wu
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Publication number: 20230194753Abstract: A processor may receive weather event data. The processor may determine, utilizing an artificial intelligence model mapping weather events having weather impacts with a higher likelihood of occurrence proximate to each other in the latent space, a weather impact associated with a weather event. In some embodiments, the artificial intelligence model may be trained using historical weather event data and historical weather impact data associated with the historical weather event data. The processor may output the weather impact associated with the weather event to a user.Type: ApplicationFiled: December 22, 2021Publication date: June 22, 2023Inventors: Dario Augusto Borges Oliveira, Bianca Zadrozny, Campbell D. Watson, Jorge Luis Guevara Diaz
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Publication number: 20230025848Abstract: A computer implemented method of predictive weather occurrences includes generating, by a computer processor, a training model through artificial intelligence. The training model is based on climate data processed by a variational autoencoder. A geographic location is selected for climate study. Historical weather measurements associated with the selected geographic location are retrieved from a knowledge climate database. The retrieved historical weather measurements are processed using the training model. The training model receives threshold parameters defining extremeness of weather. Extremeness is based on a weather intensity data point being farther from a norm than closer to the norm. Synthetic weather data is generated for the selected location, wherein the synthetic weather data predicts weather events satisfying the extremeness threshold parameters.Type: ApplicationFiled: July 22, 2021Publication date: January 26, 2023Inventors: Dario Augusto Borges Oliveira, Bianca Zadrozny, Campbell D. Watson, Jorge Luis Guevara Diaz
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Publication number: 20220342115Abstract: A method, a computer system, and a computer program product for regionalized climate models is provided. Embodiments of the present invention may include selecting a class of a reduced order model. Embodiments of the present invention may include building a neural network in a reduced order space. Embodiments of the present invention may include recovering full state dynamics. Embodiments of the present invention may include training a model. Embodiments of the present invention may include providing an output.Type: ApplicationFiled: April 23, 2021Publication date: October 27, 2022Inventors: Etienne Eben Vos, Campbell D. Watson, Alberto Costa Nogueira Junior, Bianca Zadrozny, Komminist Weldemariam
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Patent number: 11348021Abstract: A system, method and program product for evaluating a prospect. The method includes: receiving prospect information regarding a prospect for natural resource exploration; extracting a set of characteristics based on the prospect information; identifying a set of similar prospects and a set of prospect exploration results, based on the set of characteristics; receiving a success estimate for the prospect; validating the success estimate based on the set of characteristics, the set of similar prospects, and the set of prospect exploration results to determine inconsistencies in the success estimate; and approving the success estimate or receiving an updated success estimate, based on the inconsistencies in the success estimate.Type: GrantFiled: March 28, 2019Date of Patent: May 31, 2022Assignee: International Business Machines CorporationInventors: Bianca Zadrozny, Renato Fontoura de Gusmao Cerqueira, Bruno da Costa Flach, Ulisses T. Mello
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Patent number: 10822923Abstract: A method for identifying a resource in a field using historic well data including vertical well logs for the resource and historic horizontal well production data for the resource, the method including extracting a plurality of features from the vertical well logs, performing a spatial interpolation of the plurality of features extracted from the vertical well logs onto coordinates of the horizontal well production data to determine a plurality of interpolated features, and building a model predicting production of the resource in the field by regressing the horizontal well production data onto the interpolated features, wherein the model is displayed as a visualization of the resource production predicted in the field.Type: GrantFiled: December 31, 2015Date of Patent: November 3, 2020Assignee: International Business Machines CorporationInventors: Matthias Kormaksson, Marcos Rodrigues Vieira, Bianca Zadrozny
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Patent number: 10822922Abstract: A method for identifying a resource in a field using historic well data including vertical well logs for the resource and historic horizontal well production data for the resource, the method including extracting a plurality of features from the vertical well logs, performing a spatial interpolation of the plurality of features extracted from the vertical well logs onto coordinates of the horizontal well production data to determine a plurality of interpolated features, and building a model predicting production of the resource in the field by regressing the horizontal well production data onto the interpolated features, wherein the model is displayed as a visualization of the resource production predicted in the field.Type: GrantFiled: January 19, 2015Date of Patent: November 3, 2020Assignee: International Business Machines CorporationInventors: Matthias Kormaksson, Marcos Rodrigues Vieira, Bianca Zadrozny
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Publication number: 20200311584Abstract: A system, method and program product for evaluating a prospect. The method includes: receiving prospect information regarding a prospect for natural resource exploration; extracting a set of characteristics based on the prospect information; identifying a set of similar prospects and a set of prospect exploration results, based on the set of characteristics; receiving a success estimate for the prospect; validating the success estimate based on the set of characteristics, the set of similar prospects, and the set of prospect exploration results to determine inconsistencies in the success estimate; and approving the success estimate or receiving an updated success estimate, based on the inconsistencies in the success estimate.Type: ApplicationFiled: March 28, 2019Publication date: October 1, 2020Inventors: Bianca Zadrozny, Renato Fontoura de Gusmao Cerqueira, Bruno da Costa Flach, Ulisses T. Mello
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Publication number: 20200150305Abstract: A system, method and program product for implementing a machine learning platform that processes a data map having feature and operational information. A system is disclosed that includes an interpretable machine learning model that generates a function in response to an inputted data map, wherein the data map includes feature data and operational data over a region of interest, and wherein the function relates a set of predictive variables to one or more response variables; an integration/interpolation system that generates the data map from a set of disparate data sources; and an analysis system that evaluates the function to predict outcomes at unique points in the region of interest.Type: ApplicationFiled: November 14, 2018Publication date: May 14, 2020Inventors: Jorge Luis Guevara Diaz, Bianca Zadrozny, Breno W. Santos Rezende de Carvalh, Alvaro B. Buoro, Matthias Komaksson, Ligang Lu, John Tolle, Detlef F. Hohl, Jan Wolfram Limbeck
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Publication number: 20200074270Abstract: An ore content prediction system is provided. The system receives structured geological data that is derived based on spatial geological information that is associated with an input region. The received structured geological data includes a plurality of multidimensional tensors that are derived from spatial geological information of a plurality of sub-regions of the input region. The spatial geological information includes one or more types of data. The system trains a prediction model to produce a prediction output based on an average grade of an ore of a target mineral type at a target region by using the received structured geological data.Type: ApplicationFiled: September 5, 2018Publication date: March 5, 2020Inventors: Bianca Zadrozny, Helon Vicente Hultmann Ayala, Breno William Santos Rezende de Carvalho, Daniel Salles Chevitarese, Daniela de Mattos Szwarcman, Lucas Correia Villa Real, Marcio Ferreira Moreno, Paulo Rodrigo Cavalin
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Patent number: 10372987Abstract: A system for observing agricultural samples includes a chassis suspended on an elevated cable or rail, an actuator disposed within the chassis for moving the chassis forward and backward along the elevated cable or rail, a camera mounted on or within the chassis and configured to acquire image data of an area below the elevated cable or rail including an agricultural sample, and a processor disposed within the chassis for receiving image data from the camera, autonomously controlling the actuator to move the chassis along the elevated cable or rail, and assessing a condition of the agricultural sample from the received image data.Type: GrantFiled: May 9, 2017Date of Patent: August 6, 2019Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Rafael R. De Mello Brandao, Marcio F. Moreno, Igor C. Oliveira, Marcelo N. Dos Santos, Leonardo P. Tizzei, Bianca Zadrozny, Maciel Zortea
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Publication number: 20180325051Abstract: A system for observing agricultural samples includes a chassis suspended on an elevated cable or rail, an actuator disposed within the chassis for moving the chassis forward and backward along the elevated cable or rail, a camera mounted on or within the chassis and configured to acquire image data of an area below the elevated cable or rail including an agricultural sample, and a processor disposed within the chassis for receiving image data from the camera, autonomously controlling the actuator to move the chassis along the elevated cable or rail, and assessing a condition of the agricultural sample from the received image data.Type: ApplicationFiled: May 9, 2017Publication date: November 15, 2018Inventors: Rafael R. De Mello Brandao, Marcio F. Moreno, Igor C. Oliveira, Marcelo N. Dos Santos, Leonardo P. Tizzei, Bianca Zadrozny, Maciel Zortea
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Patent number: 9756773Abstract: An agricultural material application management system includes an automated agricultural data collection vehicle including a location sensor. The automated agricultural data collection vehicle includes a receiver that receives sensor data including crop information, a memory that stores the plurality of locations and the sensor data, and a processor that generates a mapping correlating the crop information with the plurality of locations in the agricultural area, and generates an agricultural material application recommendation for each of the plurality of locations based on the mapping. The agricultural material application management system includes an agricultural vehicle including an interface unit that interfaces with the automated agricultural data collection vehicle and receives the agricultural material application recommendations from the agricultural data collection vehicle.Type: GrantFiled: February 26, 2016Date of Patent: September 12, 2017Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Luciano De Andrade Barbosa, Matthias Kormaksson, Cicero Nogueira Dos Santos, Marcelo Nery Dos Santos, Bianca Zadrozny
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Publication number: 20170245419Abstract: An agricultural material application management system includes an automated agricultural data collection vehicle including a location sensor. The automated agricultural data collection vehicle includes a receiver that receives sensor data including crop information, a memory that stores the plurality of locations and the sensor data, and a processor that generates a mapping correlating the crop information with the plurality of locations in the agricultural area, and generates an agricultural material application recommendation for each of the plurality of locations based on the mapping. The agricultural material application management system includes an agricultural vehicle including an interface unit that interfaces with the automated agricultural data collection vehicle and receives the agricultural material application recommendations from the agricultural data collection vehicle.Type: ApplicationFiled: February 26, 2016Publication date: August 31, 2017Inventors: LUCIANO De ANDRADE BARBOSA, MATTHIAS KORMAKSSON, CICERO NOGUEIRA DOS SANTOS, MARCELO NERY DOS SANTOS, BIANCA ZADROZNY
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Publication number: 20170154111Abstract: A system for managing items. The system includes a sensor for identifying a first physical object and a second physical object in a building. A computer interface in communication with the sensor is configured to receive a first identification of the first physical object and a second identification of the second physical object. A computer with at least one central processing unit is configured to automatically search for trend information about the first physical object, determine a first interaction between the first physical object and the second physical object based on the first identification of the first physical object and the second identification of the second physical object, and recommend disposition of the first physical object based on the first interaction between the first physical object and the second physical object, and the trend information about the first physical object.Type: ApplicationFiled: November 30, 2015Publication date: June 1, 2017Inventors: Maximilien P. M. A. de Bayser, Silvia C. S. Bianchi, Carlos H. Cardonha, Paulo R. Cavalin, Maira Gatti de Bayser, Luis G. Moyano, Vagner Figueredo de Santana, Marcelo Nery dos Santos, Vinicius Costa Villas Boas Segura, Bianca Zadrozny
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Patent number: 9659248Abstract: Determining semantically equivalent text or questions using hybrid representations based on neural network learning. Weighted bag-of-words and convolutional neural networks (CNN) based distributed vector representations of questions or text may be generated to compute the semantic similarity between questions or text. Weighted bag-of-words and CNN based distributed vector representations may be jointly used to compute the semantic similarity. A pair-wise ranking loss function trains neural network. In one embodiment, the parameters of the system are trained by minimizing a pair-wise ranking loss function over a training set using stochastic gradient descent (SGD).Type: GrantFiled: January 19, 2016Date of Patent: May 23, 2017Assignee: International Business Machines CorporationInventors: Luciano de Andrade Barbosa, Daria Bogdanova, Matthias Kormaksson, Cicero Nogueira dos Santos, Bianca Zadrozny
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Patent number: 9417256Abstract: A population comparison system, method and a computer program product therefor. A stored list of population members, e.g., hydrocarbon reservoirs, characteristics and analogous members is partitioned into lists for each member. A weighting system automatically uses the partitions to determine a weight set (w*) for population member characteristic and a similarity function. The weighting system may include an objective model that iteratively, blindly identifies analogous members for each population member until the identified analogous members match the listed analogous members. An analogous member selector uses the weights set (w*) and similarity function to automatically select analogous listed members for each new population member.Type: GrantFiled: December 12, 2012Date of Patent: August 16, 2016Assignees: REPSOL, S. A., International Business Machines CorporationInventors: Mohamed Ahmed Hegazy, Sonia Mariette Embid Droz, Hilario Martin Rodriguez, Bruno Da Costa Flach, Davi Michel Valladao, Bianca Zadrozny
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Publication number: 20160208582Abstract: A method for identifying a resource in a field using historic well data including vertical well logs for the resource and historic horizontal well production data for the resource, the method including extracting a plurality of features from the vertical well logs, performing a spatial interpolation of the plurality of features extracted from the vertical well logs onto coordinates of the horizontal well production data to determine a plurality of interpolated features, and building a model predicting production of the resource in the field by regressing the horizontal well production data onto the interpolated features, wherein the model is displayed as a visualization of the resource production predicted in the field.Type: ApplicationFiled: December 31, 2015Publication date: July 21, 2016Inventors: MATTHIAS KORMAKSSON, MARCOS RODRIGUES VIEIRA, BIANCA ZADROZNY