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公开(公告)号:US11474202B2
公开(公告)日:2022-10-18
申请号:US16614741
申请日:2017-07-19
Applicant: Intel Corporation
Inventor: Ignacio Alvarez , David Arditti Ilitzky , Patrick Andrew Mead , Javier Felip Leon , David Gonzalez Aguirre
Abstract: Apparatuses, methods and storage medium associated with compensating for a sensor deficiency in a heterogeneous sensor array are disclosed herein. In embodiments, an apparatus may include a compute device to aggregate perception data from individual perception pipelines, each of which is associated with respective one of different types of sensors of a heterogeneous sensor set, to identify a characteristic associated with a space to be monitored by the heterogeneous sensor set; detect a sensor deficiency associated with a first sensor of the sensors; and in response to a detection of the sensor deficiency, derive next perception data for more than one of the individual perception pipelines from sensor data originating from at least one second sensor of the sensors. Other embodiments may be disclosed or claimed.
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22.
公开(公告)号:US11093530B2
公开(公告)日:2021-08-17
申请号:US16457167
申请日:2019-06-28
Applicant: Intel Corporation
Inventor: David Israel Gonzalez Aguirre , Javier Felip Leon , Maria Soledad Elli , Luis Carlos Maria Remis , Javier Sebastian Turek
Abstract: Technologies for management of data layers in a heterogeneous geographic information system (GIS) map are disclosed. A compute device may maintain a GIS database that includes geo-quads that represent physical locations of various scales. Data layers and layer tracks may be dynamically added to the GIS database at different scales, allowing for an extensible framework that enables a mechanism for integrating additional functionality. In the illustrative embodiment, a graph database is used to store the GIS database, allowing for a flexible structure. In some embodiments, entries in layer tracks may include binary large objects that may have properties and associated methods, allowing for application-specific functionality.
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公开(公告)号:US20210110264A1
公开(公告)日:2021-04-15
申请号:US17129789
申请日:2020-12-21
Applicant: Intel Corporation
Inventor: Leobardo E. Campos Macias , Ranganath Krishnan , David Gomez Gutierrez , Rafael De La Guardia Gonzalez , Nilesh Ahuja , Javier Felip Leon , Jose I. Parra Vilchis , Anthony K. Guzman Leguel
Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to facilitate knowledge sharing among neural networks. An example apparatus includes a trainer to train, at a first computing system, a first Bayesian Neural Network (BNN) on a first subset of training data to generate a first weight distribution, and train, at a second computing system, a second BNN on a second subset of the training data to generate a second weight distribution, the second subset of the training data different from the first subset of training data. The example apparatus includes a knowledge sharing controller to generate a third BNN based on the first weight distribution and the second weight distribution.
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公开(公告)号:US10976407B2
公开(公告)日:2021-04-13
申请号:US16586560
申请日:2019-09-27
Applicant: Intel Corporation
Inventor: Javier Perez-Ramirez , David Israel Gonzalez Aguirre , Javier Felip Leon , Mikhail T. Galeev , Dave A. Cavalcanti
IPC: H04B17/318 , G01S5/02 , G06T15/06
Abstract: Systems and techniques for locating a radio transmission source by scene reconstruction are described herein. A multipath radio signal—comprised of two or more multipath components—may be received at an antenna array. A collection of angle-of-arrival (AoA) values may be created from the multipath components. Thus, each AoA in the collection corresponds to one of the multipath components. An optical image of the environment may be obtained and possible reflective surfaces for the multipath components identified in the optical image. A set of paths may be created in a model of the environment by backtracking from the antenna array along the AoAs in the collection of AoA values. Here, the backtracking simulates reflections of the ray off of the surfaces identified in the optical image. A transmitter of the multipath radio signal may then be located via the set of paths.
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公开(公告)号:US20200327731A1
公开(公告)日:2020-10-15
申请号:US16911517
申请日:2020-06-25
Applicant: Intel Corporation
Inventor: Julio Zamora Esquivel , Jose Rodrigo Camacho Perez , Hector Cordourier Maruri , Paulo Lopez Meyer , Jesus Cruz Vargas , Marcos Carranza , Mateo Guzman , Dario Oliver , Cesar Martinez-Spessot , Javier Turek , Javier Felip Leon
Abstract: Systems, apparatuses and methods may provide for origination camera technology that extracts data from multimodal sensor signals associated with a scene and generates a five-dimensional (5D) representation of the scene, wherein the 5D representation includes a three-dimensional (3D) visual representation, a one-dimensional (1D) temporal representation, and a 1D branch representation. The technology may also store the 5D representation as a set of abstract descriptors.
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公开(公告)号:US20200327415A1
公开(公告)日:2020-10-15
申请号:US16913318
申请日:2020-06-26
Applicant: Intel Corporation
Inventor: Javier Felip Leon , Javier Sebastian Turek , David Israel Gonzalez Aguirre , Ignacio J. Alvarez , Javier Perez -Ramirez , Mariano Tepper
Abstract: Systems, apparatuses and methods may provide for technology that identifies a cognitive space that is to be a compressed representation of activations of a neural network, maps a plurality of activations of the neural network to a cognitive initial point and a cognitive destination point in the cognitive space and generates a first cognitive trajectory through the cognitive space, wherein the first cognitive trajectory traverses the cognitive space from the cognitive initial point to the cognitive destination point
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公开(公告)号:US20190321974A1
公开(公告)日:2019-10-24
申请号:US16455263
申请日:2019-06-27
Applicant: Intel Corporation
Inventor: Javier Felip Leon , David Israel Gonzalez Aguirre , Javier Sebastián Turek , Ignacio Javier Alvarez , Luis Carlos Maria Remis , Justin Gottschlich
IPC: B25J9/16
Abstract: Methods, apparatus, systems and articles of manufacture are disclosed for object manipulation via action sequence optimization. An example method disclosed herein includes determining an initial state of a scene, generating a first action phase sequence to transform the initial state of the scene to a solution state of the scene by selecting a plurality of action phases based on action phase probabilities, determining whether a first simulated outcome of executing the first action phase sequence satisfies an acceptability criterion and, when the first simulated outcome does not satisfy the acceptability criterion, calculating a first cost function output based on a difference between the first simulated outcome and the solution state of the scene, the first cost function output utilized to generate updated action phase probabilities.
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公开(公告)号:US20190318244A1
公开(公告)日:2019-10-17
申请号:US16455346
申请日:2019-06-27
Applicant: Intel Corporation
Inventor: Ignacio Javier Alvarez , Javier Felip Leon , David Israel Gonzalez Aguirre , Javier Sebastian Turek , Luis Carlos Maria Remis , Justin Gottschlich
Abstract: Methods, apparatus, systems and articles of manufacture to provide machine programmed creative support to a user are disclosed. An example apparatus include an artificial intelligence architecture to be trained based on previous inputs of the user; a processor to: implement a first machine learning model based on the trained artificial intelligence architecture; and predict a first action based on a current state of a computer program using the first machine learning model; implement a second machine learning model based on the trained artificial intelligence architecture; and predict a second action based on the current state of the computer program using the second machine learning model; and a controller to select a state based on the action that results in a state that is more divergent from the current state of the computer program.
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公开(公告)号:US20190317965A1
公开(公告)日:2019-10-17
申请号:US16457203
申请日:2019-06-28
Applicant: Intel Corporation
Inventor: Luis Carlos Maria Remis , Ignacio Javier Alvarez , Li Chen , Javier Felip Leon , David Israel Gonzalez Aguirre , Justin Gottschlich , Javier Sebastian Turek
IPC: G06F16/9032 , G06F16/9038 , G06F16/2457
Abstract: Methods and apparatus to facilitate generation of database queries are disclosed. An example apparatus includes a generator to generate a global importance tensor. The global importance tensor based on a knowledge graph representative of information stored in a database. The knowledge graph includes objects and connections between the objects. The global importance tensor includes importance values for different types of the connections between the objects. The example apparatus further includes an importance adaptation analyzer to generate a session importance tensor based on the global importance tensor and a user query, and a user interface to provide a suggested query to a user based on the session importance tensor.
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公开(公告)号:US20190317739A1
公开(公告)日:2019-10-17
申请号:US16455216
申请日:2019-06-27
Applicant: Intel Corporation
Inventor: Javier Sebastian Turek , Javier Felip Leon , Luis Carlos Maria Remis , David Israel Gonzalez Aguirre , Ignacio Javier Alvarez , Justin Gottschlich
Abstract: Methods and apparatus to automatically generate code for graphical user interfaces are disclosed. An example apparatus includes a textual description analyzer to encode a user-provided textual description of a GUI design using a first neural network. The example apparatus further includes a DSL statement generator to generate a DSL statement with a second neural network. The DSL statement is to define a visual element of the GUI design. The DSL statement is generated based on at least one of the encoded textual description or a user-provided image representative of the GUI design. The example apparatus further includes a rendering tool to render a mockup of the GUI design based on the DSL statement.
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