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公开(公告)号：US11727265B2
公开(公告)日：2023-08-15
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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82.发明公开公开(公告)号：US20230224237A1
公开(公告)日：2023-07-13
申请号：US18147446
申请日：2022-12-28
Applicant: Intel Corporation
Inventor： Javier Perez-Ramirez , Javier Turek , David Gonzalez Aguirre , Javier Felip Leon , Ignacio Alvarez
CPC classification number: H04W24/02 , H04L41/16 , H04W52/245
Abstract: Systems, apparatuses and methods may provide for technology that adjusts, via a short-term subsystem, a communications parameter for one or more of wireless communication devices based on data from one or more of a plurality of sensors. The technology may also determine, via a neural network, a prediction of future performance of the wireless network based on a state of the network environment, wherein the state of the network environment includes information from the short-term subsystem and location information about the wireless communication devices and other objects in the environment, and determine a change in network configuration to improve a quality of communications in the wireless network based on the prediction of future performance of the wireless network. The technology may further generate generic path loss models based on time-stamped RSSI maps and record a sequence of events that cause a significant drop in RSSI to determine a change in network configuration.
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公开(公告)号：US20230031591A1
公开(公告)日：2023-02-02
申请号：US17853176
申请日：2022-06-29
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 , G06F16/2457 , G06F16/9038
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：US11553129B2
公开(公告)日：2023-01-10
申请号：US16907872
申请日：2020-06-22
Applicant: Intel Corporation
Inventor： Mateo Guzman , Javier Turek , Marcos Carranza , Cesar Martinez-Spessot , Dario Oliver , Javier Felip Leon , Mariano Tepper
Abstract: Systems, apparatuses and methods may provide for technology that detects an unidentified individual at a first location along a trajectory in a scene based on a video feed of the scene, wherein the video feed is to be associated with a stationary camera, and selects a non-stationary camera from a plurality of non-stationary cameras based on the trajectory and one or more settings of the selected non-stationary camera. The technology may also automatically instruct the selected non-stationary camera to adjust at least one of the one or more settings, capture a face of the individual at a second location along the trajectory, and identify the unidentified individual based on the captured face of the unidentified individual.
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公开(公告)号：US11493914B2
公开(公告)日：2022-11-08
申请号：US16913845
申请日：2020-06-26
Applicant: Intel Corporation
Inventor： Ignacio Alvarez , Todd Anderson , Vy Vo , Javier Felip Leon , Javier Perez-Ramirez
Abstract: Systems, apparatuses and methods may provide for technology that obtains categorization information and corresponding uncertainty information from a perception subsystem, wherein the categorization information and the corresponding uncertainty information are to be associated with an object in an environment. The technology may also determine whether the corresponding uncertainty information satisfies one or more relevance criteria, and automatically control the perception subsystem to increase an accuracy in one or more subsequent categorizations of the object if the corresponding uncertainty information satisfies the one or more relevance criteria. In one example, determining whether the corresponding uncertainty information satisfies the relevance criteria includes taking a plurality of samples from the categorization information and the corresponding uncertainty information, generating a plurality of actuation plans based on the plurality of samples, and determining a safety deviation across the plurality of actuation plans, wherein the relevance criteria are satisfied if the safety deviation exceeds a threshold.
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Patent Agency Ranking
公开(公告)号：US20220324441A1
公开(公告)日：2022-10-13
申请号：US17741124
申请日：2022-05-10
Applicant: Intel Corporation
Inventor： David Gomez Gutierrez , Javier Felip Leon , Kshitij A. Doshi , Leobardo E. Campos Macias , Nilesh Amar Ahuja , Omesh Tickoo
IPC: B60W30/095 , B60W50/14 , G06V20/58 , G06V40/10
Abstract: An apparatus comprising a memory to store an observed trajectory of a pedestrian, the observed trajectory comprising a plurality of observed locations of the pedestrian over a first plurality of timesteps; and a processor to generate a predicted trajectory of the pedestrian, the predicted trajectory comprising a plurality of predicted locations of the pedestrian over the first plurality of timesteps and over a second plurality of timesteps occurring after the first plurality of timesteps; determine a likelihood of the predicted trajectory based on a comparison of the plurality of predicted locations of the pedestrian over the first plurality of timesteps and the plurality of observed locations of the pedestrian over the first plurality of timesteps; and responsive to the determined likelihood of the predicted trajectory, provide information associated with the predicted trajectory to a vehicle to warn the vehicle of a potential collision with the pedestrian.
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公开(公告)号：US11213947B2
公开(公告)日：2022-01-04
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：US11192495B2
公开(公告)日：2021-12-07
申请号：US16726433
申请日：2019-12-24
Applicant: Intel Corporation
Inventor： Maria Soledad Elli , Ignacio J. Alvarez , Javier Felip Leon , David I. Gonzalez Aguirre , Javier Turek
Abstract: Techniques are disclosed to realize a self-adaptive multiresolution digital plate (SAMDP) system that facilitates sharing of vehicle state information via a dynamically generated binary two-dimensional multispectral pattern. The binary 2D multispectral pattern adjusts its resolution to adapt to the visual perception process while communicating vehicle state information without relying on wireless communications (i.e. V2V, V2X, etc.). The techniques as described herein leverage the use of a multichannel spectral means that helps lower the error present in sensing and representation models used by automated driving systems.
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89.发明申请公开(公告)号：US20210299866A1
公开(公告)日：2021-09-30
申请号：US17133069
申请日：2020-12-23
Applicant: Intel Corporation
Inventor： Javier Felip Leon , Ignacio Alvarez , Maria Soledad Elli , David Gonzalez-Aguirre , Javier Turek
Abstract: A robotic manipulation planning system, including at least one processor; and a non-transitory computer-readable storage medium including instructions that, when executed by the at least one processor, cause the at least one processor to: process perception data to detect known, familiar, and unknown objects to generate manipulation candidates; filter manipulation candidates against constraints to reduce the manipulation candidates; and determine quality metrics for the reduced manipulation candidates using a soft-body simulation technique.
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公开(公告)号：US11037312B2
公开(公告)日：2021-06-15
申请号：US16457949
申请日：2019-06-29
Applicant: Intel Corporation
Inventor： David Israel Gonzalez Aguirre , Javier Felip Leon , Maria Soledad Elli
Abstract: Technologies for thermal enhanced semantic segmentation include a computing device having a visible light camera and an infrared camera. The computing device receives a visible light image of a scene from the visible light camera and an infrared image of the scene from the infrared camera. The computing device registers the infrared image to the visible light image to generate a registered image. Registering the infrared image may include increasing resolution of the infrared image. The computing device generates a thermal boundary saliency image based on the registered infrared image. The computing device may generate the thermal boundary saliency image by applying a Gabor jet convolution to the registered infrared image. The computing device performs semantic segmentation on the visible light image, the registered infrared image, and the thermal boundary saliency image to generate a pixelwise semantic classification of the scene. Other embodiments are described and claimed.
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