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公开(公告)号：US20210150323A1
公开(公告)日：2021-05-20
申请号：US17133181
申请日：2020-12-23
Applicant: Intel Corporation
Inventor： Javier Sebastian Turek , Ignacio J. Alvarez , David Israel Gonzalez Aguirre , Javier Felip Leon , Maria Soledad Elli
Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to implement a neural network. An apparatus to implement a neural network, the apparatus comprising memory formed on a substrate, neural network inference logic formed on the same substrate as the memory, the neural network inference logic to load a plurality of neural network parameters in a multiply-accumulate register, and perform a sample-multiply-add operation on the neural network parameter values and input data to generate a neural network inference result, and a memory controller to transfer the neural network inference result to at least one of a host memory external to the substrate or a host processor external to the substrate.
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32.发明申请公开(公告)号：US20210001884A1
公开(公告)日：2021-01-07
申请号：US16914298
申请日：2020-06-27
Applicant: Intel Corporation
Inventor： Ignacio J. Alvarez , Vy Vo , Javier Felip Leon , Javier Perez-Ramirez , Javier Sebastian Turek , Mariano Tepper , David Israel Gonzalez Aguirre
Abstract: Systems, apparatuses and methods may provide for technology that generates, via a first neural network such as a grid network, a first vector representing a prediction of future behavior of an autonomous vehicle based on a current vehicle position and a vehicle velocity. The technology may also generate, via a second neural network such as an obstacle network, a second vector representing a prediction of future behavior of an external obstacle based on a current obstacle position and an obstacle velocity, and determine, via a third neural network such as a place network, a future trajectory for the vehicle based on the first vector and the second vector, the future trajectory representing a sequence of planned future behaviors for the vehicle. The technology may also issue actuation commands to navigate the autonomous vehicle based on the future trajectory for the vehicle.
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33.发明申请公开(公告)号：US20190325292A1
公开(公告)日：2019-10-24
申请号：US16457413
申请日：2019-06-28
Applicant: Intel Corporation
Inventor： Luis Carlos Maria Remis , Justin Gottschlich , Javier Sebastian Turek , Ignacio Javier Alvarez , David Israel Gonzalez Aguirre , Javier Felip Leon
IPC: G06N3/04 , G06F16/28 , G06F16/245 , G06F16/901 , G06N3/08
Abstract: Methods, apparatus, systems and articles of manufacture for providing query selection systems are disclosed. An example query selection system includes a processor to: analyze a graph database; identify respective ones of objects associated with the graph database; obtain properties associated with the objects; identify common properties present in the respective ones of the objects; in response to determining the common properties present in the identified objects, output a list of the common properties corresponding to the respective ones of the objects; generate a table for the common properties and the respective ones of the objects; and populate the table with the common properties and the respective ones of the objects from the graph database to establish a relational database. The system further includes a machine learning model classifier to enable relational database query searching via the relational database.
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公开(公告)号：US12131245B2
公开(公告)日：2024-10-29
申请号：US17075527
申请日：2020-10-20
Applicant: Intel Corporation
Inventor： Hechen Wang , Richard Dorrance , Deepak Dasalukunte , David Israel Gonzalez Aguirre
IPC: G06N3/04 , G06F1/06 , H03L7/089 , H03L7/099 , G11C11/412
CPC classification number: G06N3/04 , G06F1/06 , H03L7/0891 , H03L7/0995 , G11C11/412
Abstract: Methods, apparatus, systems, and articles of manufacture providing an improved Bayesian neural network and methods and apparatus to operate the same are disclosed. An example apparatus includes an oscillator to generate a first clock signal; a resistive element to adjust a slope of a rising edge of a second clock signal; a voltage sampler to generate a sample based on at least one of (a) a first voltage of the first clock signal when a second voltage of the second clock signal satisfies a threshold or (b) a third voltage of the second clock signal when a fourth voltage of the first clock signal satisfies the threshold; and a charge pump to adjust a weight based on the sample, the weight to adjust data in a model.
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35.发明授权公开(公告)号：US12008456B2
公开(公告)日：2024-06-11
申请号：US16457413
申请日：2019-06-28
Applicant: Intel Corporation
Inventor： Luis Carlos Maria Remis , Justin Gottschlich , Javier Sebastian Turek , Ignacio Javier Alvarez , David Israel Gonzalez Aguirre , Javier Felip Leon
IPC: G06N3/044 , G06F16/245 , G06F16/28 , G06F16/901 , G06N3/08
CPC classification number: G06N3/044 , G06F16/245 , G06F16/285 , G06F16/9024 , G06N3/08
Abstract: Methods, apparatus, systems and articles of manufacture for providing query selection systems are disclosed. An example query selection system includes a processor to: analyze a graph database; identify respective ones of objects associated with the graph database; obtain properties associated with the objects; identify common properties present in the respective ones of the objects; in response to determining the common properties present in the identified objects, output a list of the common properties corresponding to the respective ones of the objects; generate a table for the common properties and the respective ones of the objects; and populate the table with the common properties and the respective ones of the objects from the graph database to establish a relational database. The system further includes a machine learning model classifier to enable relational database query searching via the relational database.
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Patent Agency Ranking
36.发明授权公开(公告)号：US11702105B2
公开(公告)日：2023-07-18
申请号：US16914298
申请日：2020-06-27
Applicant: Intel Corporation
Inventor： Ignacio J. Alvarez , Vy Vo , Javier Felip Leon , Javier Perez-Ramirez , Javier Sebastian Turek , Mariano Tepper , David Israel Gonzalez Aguirre
CPC classification number: B60W60/0015 , B60W30/09 , B60W30/0956 , B60W40/06 , B60W60/0011 , G01C21/3407 , G06N3/08 , G06N5/02 , B60W2552/00 , B60W2554/4041 , B60W2554/4042 , B60W2555/00
Abstract: Systems, apparatuses and methods may provide for technology that generates, via a first neural network such as a grid network, a first vector representing a prediction of future behavior of an autonomous vehicle based on a current vehicle position and a vehicle velocity. The technology may also generate, via a second neural network such as an obstacle network, a second vector representing a prediction of future behavior of an external obstacle based on a current obstacle position and an obstacle velocity, and determine, via a third neural network such as a place network, a future trajectory for the vehicle based on the first vector and the second vector, the future trajectory representing a sequence of planned future behaviors for the vehicle. The technology may also issue actuation commands to navigate the autonomous vehicle based on the future trajectory for the vehicle.
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37.发明授权公开(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：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：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：US10657711B2
公开(公告)日：2020-05-19
申请号：US16210818
申请日：2018-12-05
Applicant: Intel Corporation
Inventor： David Israel Gonzalez Aguirre
Abstract: An embodiment of a semiconductor package apparatus may include technology to perform depth sensor fusion to determine depth information for a surface, smooth the depth information for the surface and preserve edge information for the surface based on adaptive smoothing with self-tuning band-width estimation, iteratively remove holes from the surface based on conditional iterative manifold interpolation, reduce one or more of a file size and an on-memory storage size of data corresponding to the surface based on triangular edge contraction, and construct at least a portion of a 3D model based on data corresponding to a visible portion of the surface. Other embodiments are disclosed and claimed.
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