Patents by Inventor Francisco J. Martin
Francisco J. Martin 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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Patent number: 11314535Abstract: A quantum computer system for streaming data results, the quantum computer system configured to: receive a first job request from a requesting entity, the first job request comprising instructions to execute a plurality of times a first quantum program, the first job request further comprising an instruction to output one or more first partial data results after one or more executions of said quantum program; execute the first job request; and send to the requesting entity the one or more first partial data results of the executed first job request corresponding to the one or more executions of the first quantum program.Type: GrantFiled: June 21, 2019Date of Patent: April 26, 2022Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Jay M. Gambetta, Ismael Faro Serfage, David C. Mckay, Francisco J. Martin Fernandez
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Publication number: 20210174306Abstract: Systems and methods for predicting the outcome of a business entity are presented. In embodiments, a system may receive explicit data reporting or indicating activities of a business entity, and other data from which information regarding the activities or level of operations of the entity may be inferred. Using one or more data processors, the system may generate inferred data regarding the business entity from a selected portion of the other data, and use at least some of the explicit data and the inferred data to determine which one of a series of defined sequential active states of development the entity currently is in. The system may further, using the result of the determination as the current state of the business, predict a final stage of the business entity, and a probability of evolving to that final stage from the current state. Other embodiments may be disclosed or claimed.Type: ApplicationFiled: January 8, 2021Publication date: June 10, 2021Applicant: BUILDGROUP DATA SERVICES INC.Inventors: Francisco J. Martin, Luis Javier Placer Mendoza, Alvaro Otero Perez, Javier S. Alperte Pérez Rejón, Xavier Canals Orriols, Francisco J. Garcia Moreno, Jim Shur, Candido Zuriaga Garcia
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Patent number: 10929815Abstract: Systems and methods for predicting the outcome of a business entity are presented. In embodiments, a system may receive explicit data reporting or indicating activities of a business entity, and other data from which information regarding the activities or level of operations of the entity may be inferred. Using one or more data processors, the system may generate inferred data regarding the business entity from a selected portion of the other data, and use at least some of the explicit data and the inferred data to determine which one of a series of defined sequential active states of development the entity currently is in. The system may further, using the result of the determination as the current state of the business, predict a final stage of the business entity, and a probability of evolving to that final stage from the current state. Other embodiments may be disclosed or claimed.Type: GrantFiled: March 14, 2017Date of Patent: February 23, 2021Assignee: BUILDGROUP DATA SERVICES INC.Inventors: Francisco J. Martin, Luis Javier Placer Mendoza, Alvaro Otero Perez, Javier S. Alperte Pérez Rejón, Xavier Canals Orriols, Francisco J. Garcia Moreno, Jim Shur, Candido Zuriaga Garcia
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Publication number: 20200401427Abstract: A quantum computer system for streaming data results, the quantum computer system configured to: receive a first job request from a requesting entity, the first job request comprising instructions to execute a plurality of times a first quantum program, the first job request further comprising an instruction to output one or more first partial data results after one or more executions of said quantum program; execute the first job request; and send to the requesting entity the one or more first partial data results of the executed first job request corresponding to the one or more executions of the first quantum program.Type: ApplicationFiled: June 21, 2019Publication date: December 24, 2020Inventors: Jay M. Gambetta, Ismael Faro Sertage, David C. Mckay, Francisco J. Martin Fernandez
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Publication number: 20170262757Abstract: Systems and methods for predicting the outcome of a business entity are presented. In embodiments, a system may receive explicit data reporting or indicating activities of a business entity, and other data from which information regarding the activities or level of operations of the entity may be inferred. Using one or more data processors, the system may generate inferred data regarding the business entity from a selected portion of the other data, and use at least some of the explicit data and the inferred data to determine which one of a series of defined sequential active states of development the entity currently is in. The system may further, using the result of the determination as the current state of the business, predict a final stage of the business entity, and a probability of evolving to that final stage from the current state. Other embodiments may be disclosed or claimed.Type: ApplicationFiled: March 14, 2017Publication date: September 14, 2017Applicant: PreSeries Tech, SLInventors: Francisco J. Martin, Luis Javier Placer Mendoza, Alvaro Otero Perez, Javier S. Alperte Pérez Rejón, Xavier Canals Orriols, Francisco J. Garcia Moreno, Jim Shur, Candido Zuriaga Garcia
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Publication number: 20170262809Abstract: Systems and methods that include characterizing individual team members in terms of specified “character elements” or attributes, and combining the individual characterizations into an aggregate characterization of the team. The team evaluation does not merely sum individual attributes; rather, it analyzes the composition of the team relative to predetermined metrics, taking into account what combinations of individual team member attributes are more likely to lead to success of the team.Type: ApplicationFiled: March 14, 2017Publication date: September 14, 2017Applicant: PreSeries Tech, SLInventors: Francisco J. Martin, Luis Javier Placer Mendoza, Alvaro Otero Perez, Javier S. Alperte Pérez Rejón, Xavier Canals Orriols, Francisco J. Garcia Moreno, Jim Shur, Candido Zuriaga Garcia
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Publication number: 20170140302Abstract: A system and method enables users to selectively expose and optionally monetize their data resources, for example on a web site. Data assets such as datasets and models can be exposed by the proprietor on a public gallery for use by others. Fees may be charged, for example, per new model, or per prediction using a model. Users may selectively expose public datasets or public models while keeping their raw data private.Type: ApplicationFiled: January 26, 2017Publication date: May 18, 2017Applicant: BigML, Inc.Inventors: Francisco J. MARTIN, Oscar ROVIRA, Jos VERWOERD, Poul PETERSEN, Charles PARKER, Jose Antonio ORTEGA, Beatriz GARCIA, J. Justin DONALDSON, Antonio BLASCO, Adam ASHENFELTER
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Publication number: 20170090980Abstract: We describe a high-level computational framework especially well suited to parallel operations on large datasets. In a system in accordance with this framework, there is at least one, and generally several, instances of an architecture deployment as further described. We use the term “architecture deployment” herein to mean a cooperating group of processes together with the hardware on which the processes are executed. This is not to imply a one-to-one association of any process to particular hardware. To the contrary, as detailed below, an architecture deployment may dynamically spawn another deployment as appropriate, including provisioning needed hardware. The active architecture deployments together form a system that dynamically processes jobs requested by a user-customer, in accordance with customer's monetary budget and other criteria, in a robust and automatically scalable environment.Type: ApplicationFiled: December 7, 2016Publication date: March 30, 2017Applicant: BigML, Inc.Inventors: Francisco J. Martin, Adam Ashenfelter, J. Justin Donaldson, Jos Verwoerd, Jose Antonio Ortega, Charles Parker
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Patent number: 9576056Abstract: Systems and methods are disclosed for identifying a new set of media items in response to an input set (or “query set”) of media items and knowledge base metrics. The system uses a knowledge base consisting of a collection of mediasets. Various metrics among media items are considered by analyzing how the media items are grouped to form the mediasets in the knowledge base. Such association or “similarity” metrics are preferably stored in a matrix form that allows the system to efficiently identify a new set of media items that complements the input set of media items.Type: GrantFiled: November 12, 2012Date of Patent: February 21, 2017Assignee: Apple Inc.Inventors: Francisco J. Martin, Jim Shur, Marc Torrens
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Patent number: 9576246Abstract: A system and method enables users to selectively expose and optionally monetize their data resources, for example on a web site. Data assets such as datasets and models can be exposed by the proprietor on a public gallery for use by others. Fees may be charged, for example, per new model, or per prediction using a model. Users may selectively expose public datasets or public models while keeping their raw data private.Type: GrantFiled: September 12, 2013Date of Patent: February 21, 2017Assignee: BIGML, INC.Inventors: Francisco J. Martin, Oscar Rovira, Jos Verwoerd, Poul Petersen, Charles Parker, Jose Antonio Ortega, Beatriz Garcia, J. Justin Donaldson, Antonio Blasco, Adam Ashenfelter
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Patent number: 9558036Abstract: We describe a high-level computational framework especially well suited to parallel operations on large datasets. In a system in accordance with this framework, there is at least one, and generally several, instances of an architecture deployment as further described. We use the term “architecture deployment” herein to mean a cooperating group of processes together with the hardware on which the processes are executed. This is not to imply a one-to-one association of any process to particular hardware. To the contrary, as detailed below, an architecture deployment may dynamically spawn another deployment as appropriate, including provisioning needed hardware. The active architecture deployments together form a system that dynamically processes jobs requested by a user-customer, in accordance with customer's monetary budget and other criteria, in a robust and automatically scalable environment.Type: GrantFiled: May 29, 2015Date of Patent: January 31, 2017Assignee: BigML, Inc.Inventors: Francisco J. Martin, Adam Ashenfelter, J. Justin Donaldson, Jos Verwoerd, Jose Antonio Ortega, Charles Parker
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Patent number: 9317185Abstract: Disclosed are various embodiments of systems and methods for generating composite mediasets from mediasets, each comprising media items, associated with a plurality of users. In some embodiments, individual and/or group recommendations are provided for creating a group playlist by aggregating user taste data for a plurality of users in a group. In other embodiments, systems and methods are provided which allow for sharing and playing of a group playlist by users in a group, each of which has a media playback device. In still other embodiments, systems and methods are provided for dynamically building a composite playlist that may be updated as users enter and/or leave the group. One example of an interactive entertainment application also is described for use at a venue to entertain live guests with music selections that are dynamically influenced by the guests' individual tastes.Type: GrantFiled: April 24, 2014Date of Patent: April 19, 2016Assignee: Apple Inc.Inventors: Francisco J. Martin, Jim Shur, Marc Torrens, Rick Hangartner, Guillermo Caudevilla-Laliena, David del Ser Bartolome, Craig Rowley
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Patent number: 9269054Abstract: Systems and methods are disclosed for building and using decision trees, preferably in a scalable and distributed manner. Our system can be used to create and use classification trees, regression trees, or a combination of regression trees called a gradient boosted regression tree (GBRT). Our system leverages approximate histograms in new ways to process large datasets, or data streams, while limiting inter-process communication bandwidth requirements. Further, in some embodiments, a scalable network of computers or processors is utilized for fast computation of decision trees. Preferably, the network comprises a tree structure of processors, comprising a master node and a plurality of worker nodes or “workers,” again arranged to limit necessary communications.Type: GrantFiled: November 9, 2012Date of Patent: February 23, 2016Assignee: BigML, Inc.Inventors: Francisco J. Martin, Adam Ashenfelter, J. Justin Donaldson, Jos Verwoerd, Jose Antonio Ortega, Charles Parker
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Patent number: 9262534Abstract: Systems and methods are disclosed for identifying a new set of media items in response to an input set (or “query set”) of media items and knowledge base metrics. The system uses a knowledge base consisting of a collection of mediasets. Various metrics among media items are considered by analyzing how the media items are grouped to form the mediasets in the knowledge base. Such association or “similarity” metrics are preferably stored in a matrix form that allows the system to efficiently identify a new set of media items that complements the input set of media items.Type: GrantFiled: November 12, 2012Date of Patent: February 16, 2016Assignee: Apple Inc.Inventors: Francisco J. Martin, Jim Shur, Marc Torrens
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Patent number: 9098326Abstract: We describe a high-level computational framework especially well suited to parallel operations on large datasets. In a system in accordance with this framework, there is at least one, and generally several, instances of an architecture deployment as further described. We use the term “architecture deployment” herein to mean a cooperating group of processes together with the hardware on which the processes are executed. This is not to imply a one-to-one association of any process to particular hardware. To the contrary, as detailed below, an architecture deployment may dynamically spawn another deployment as appropriate, including provisioning needed hardware. The active architecture deployments together form a system that dynamically processes jobs requested by a user-customer, in accordance with customer's monetary budget and other criteria, in a robust and automatically scalable environment.Type: GrantFiled: November 9, 2012Date of Patent: August 4, 2015Assignee: BigML, Inc.Inventors: Francisco J. Martin, Adam Ashenfelter, J. Justin Donaldson, Jos Verwoerd, Jose Antonio Ortega, Charles Parker
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Publication number: 20140237361Abstract: Disclosed are various embodiments of systems and methods for generating composite mediasets from mediasets, each comprising media items, associated with a plurality of users. In some embodiments, individual and/or group recommendations are provided for creating a group playlist by aggregating user taste data for a plurality of users in a group. In other embodiments, systems and methods are provided which allow for sharing and playing of a group playlist by users in a group, each of which has a media playback device. In still other embodiments, systems and methods are provided for dynamically building a composite playlist that may be updated as users enter and/or leave the group. One example of an interactive entertainment application also is described for use at a venue to entertain live guests with music selections that are dynamically influenced by the guests' individual tastes.Type: ApplicationFiled: April 24, 2014Publication date: August 21, 2014Applicant: Apple Inc.Inventors: Francisco J. Martin, Jim Shur, Marc Torrens, Rick Hangartner, Guillermo Caudevilla-Laliena, David del Ser Bartolome, Craig Rowley
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Publication number: 20140101076Abstract: A system and method enables users to selectively expose and optionally monetize their data resources, for example on a web site. Data assets such as datasets and models can be exposed by the proprietor on a public gallery for use by others. Fees may be charged, for example, per new model, or per prediction using a model. Users may selectively expose public datasets or public models while keeping their raw data private.Type: ApplicationFiled: September 12, 2013Publication date: April 10, 2014Inventors: Francisco J. MARTIN, Oscar ROVIRA, Jos VERWOERD, Poul PETERSEN, Charles PARKER, Jose Antonio ORTEGA, Beatriz GARCIA, J. Justin DONALDSON, Antonio BLASCO, Adam ASHENFELTER
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Patent number: 8543575Abstract: A system and method to navigate through a media item catalog and generate recommendations using behavioral metrics such as correlation metrics (FIGS. 1,2) from a knowledge base (400) of mediasets (FIG. 4, 1-7). One implementation uses a knowledge base comprising a collection of mediasets such as groupings of selected video items. Various metrics (Metric 1-Metric m) among media items (m1 . . . ) are considered by analyzing how the media items are grouped to form the sets in the knowledge base (400). Such metrics preferably are stored in a matrix (100) that allows the system to dynamically build appropriate navigation lists (FIG. 3) from media items that a user selects (FIG. 5).Type: GrantFiled: May 21, 2012Date of Patent: September 24, 2013Assignee: Apple Inc.Inventors: Francisco J. Martin, Jim Shur, Marc Torrens
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Publication number: 20130238709Abstract: Systems, methods and software are disclosed for capturing and/or importing and processing media items such as digital images or video (202) associated with a sporting event such as a marathon or bicycle race (FIG. 3). The media items are processed, including bib number or facial recognition if necessary (204, 206, 504), to associate them with an individual participant. Other input sources may include spectator uploads (506), external web sites and media sharing (508) or social networking (510) services. The system (500) aggregates, organizes and generates content, and distributes it (580) via various output channels, which may include event web sites (256), personal feeds (250), and other output channels (260, 254, 252, FIG. 4). Preferably, selected content is associated with at least one individual participant in the event, and that content is automatically distributed to channels that are associated with that individual participant.Type: ApplicationFiled: April 26, 2013Publication date: September 12, 2013Applicant: STRANDS, INC.Inventor: Francisco J. Martin
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Patent number: 8442922Abstract: Systems, methods and software are disclosed for capturing and/or importing and processing media items such as digital images or video (202) associated with a sporting event such as a marathon or bicycle race (FIG. 3). The media items are processed, including bib number or facial recognition if necessary (204, 206, 504), to associate them with an individual participant. Other input sources may include spectator uploads (506), external web sites and media sharing (508) or soda! networking (510) services. The system (500) aggregates, organizes and generates content, and distributes it (580) via various output channels, which may include event web sites (256), personal feeds (250), and other output channels (260, 254, 252, FIG. 4). Preferably, selected content is associated with at least one individual participant in the event, and that content is automatically distributed to channels that are associated with that individual participant.Type: GrantFiled: December 22, 2009Date of Patent: May 14, 2013Assignee: Strands, Inc.Inventor: Francisco J. Martin