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公开(公告)号：US10609205B2
公开(公告)日：2020-03-31
申请号：US16235733
申请日：2018-12-28
Applicant: Intel Corporation
Inventor： Jose Camacho Perez , Miguel Bernal Marin , Mario Alfredo Carrillo Arevalo , Hector Cordourier Maruri , Jesus Adan Cruz Vargas , Abraham Duenas De La Cruz , Paulo Lopez Meyer , Julio Zamora Esquivel
Abstract: Technology for a mobile device is described. The mobile device can include a vibration motor operable to generate a vibration, and a sensor operable to capture a plurality of vibration signals that result from the vibration. The mobile device can provide the plurality of vibration signals to a model running on the mobile device. The model can include a plurality of predefined patterns that correspond to vibration signals produced by mobile devices residing on different surfaces. The mobile device can identify, using the model, a predefined pattern in the plurality of predefined patterns that substantially corresponds to the plurality of vibration signals based on a confidence level that exceeds a threshold. The mobile device can determine a type of surface on which the mobile device resides based on the predefined pattern identified using the model.
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公开(公告)号：US20190297182A1
公开(公告)日：2019-09-26
申请号：US16235733
申请日：2018-12-28
Applicant: Intel Corporation
Inventor： Jose Camacho Perez , Miguel Bernal Marin , Mario Alfredo Carrillo Arevalo , Hector Cordourier Maruri , Jesus Adan Cruz Vargas , Abraham Duenas De La Cruz , Paulo Lopez Meyer , Julio Zamora Esquivel
Abstract: Technology for a mobile device is described. The mobile device can include a vibration motor operable to generate a vibration, and a sensor operable to capture a plurality of vibration signals that result from the vibration. The mobile device can provide the plurality of vibration signals to a model running on the mobile device. The model can include a plurality of predefined patterns that correspond to vibration signals produced by mobile devices residing on different surfaces. The mobile device can identify, using the model, a predefined pattern in the plurality of predefined patterns that substantially corresponds to the plurality of vibration signals based on a confidence level that exceeds a threshold. The mobile device can determine a type of surface on which the mobile device resides based on the predefined pattern identified using the model.
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公开(公告)号：US20190220043A1
公开(公告)日：2019-07-18
申请号：US16365361
申请日：2019-03-26
Applicant: Intel Corporation
Inventor： Julio Cesar Zamora Esquivel , Rodrigo Aldana Lopez , Leobardo Campos Macias , Jesus Adan Cruz Vargas , Rafael de la Guardia Gonzalez , David Gomez Gutierrez , Edgar Macias Garcia
CPC classification number: G05D1/102 , G05D1/0011 , G05D1/0088
Abstract: Methods and apparatus to facilitate autonomous navigation of robotic devices. An example autonomous robot includes a region model analyzer to: analyze a first image of an environment based on a first neural network model, the first image captured by an image sensor of the robot when the robot is in a first region of the environment; and analyze a second image of the environment based on a second neural network model, the second image captured by the image sensor when the robot is in a second region of the environment, the second neural network associated with the second region. The example robot further includes a movement controller to: autonomously control movement of the robot within the first region toward the second region based on the analysis of the first image; and autonomously control movement of the robot within the second region based on the analysis of the second image.
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公开(公告)号：US12067477B2
公开(公告)日：2024-08-20
申请号：US17526628
申请日：2021-11-15
Applicant: Intel Corporation
Inventor： Julio Zamora Esquivel , Hector Cordourier Maruri , Jose Camacho Perez , Paulo Lopez Meyer , Jesus Adan Cruz Vargas
Abstract: Methods and apparatuses for implementing a neural network using symmetric tensors. In embodiments, a system may include a higher order neural network with a plurality of layers that includes an input layer, one or more hidden layers, and an output layer. Each of the input layer, the one or more hidden layers, and the output layer includes a plurality of neurons, where the plurality of neurons includes at least first order neurons and second order neurons, and where inputs at a second order neuron are combined using a symmetric tensor.
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公开(公告)号：US11205114B2
公开(公告)日：2021-12-21
申请号：US15924947
申请日：2018-03-19
Applicant: Intel Corporation
Inventor： Julio Zamora Esquivel , Hector Cordourier Maruri , Jose Camacho Perez , Paulo Lopez Meyer , Jesus Adan Cruz Vargas
Abstract: Methods and apparatuses for implementing a neural network using symmetric tensors. In embodiments, a system may include a higher order neural network with a plurality of layers that includes an input layer, one or more hidden layers, and an output layer. Each of the input layer, the one or more hidden layers, and the output layer includes a plurality of neurons, where the plurality of neurons includes at least first order neurons and second order neurons, and where inputs at a second order neuron are combined using a symmetric tensor.
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Patent Agency Ranking
公开(公告)号：US20210209473A1
公开(公告)日：2021-07-08
申请号：US17212747
申请日：2021-03-25
Applicant: Intel Corporation
Inventor： Julio Cesar Zamora Esquivel , Jesus Adan Cruz Vargas , Nadine L. Dabby , Anthony Rhodes , Omesh Tickoo , Narayan Sundararajan , Lama Nachman
Abstract: The present disclosure provides a machine learning model where each activation node within the model has an adaptive activation function defined in terms of an input and a hyperparameter of the model. Accordingly, each activation node can have a separate of distinct activation function, based on the adaptive activation function where the hyperparameter for each activation node is trained during overall training of the model. Furthermore, the present disclosure provides that a set of adaptive activation functions can be provided for each activation node such that a spike train of activations can be generated.
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公开(公告)号：US11516336B2
公开(公告)日：2022-11-29
申请号：US17179097
申请日：2021-02-18
Applicant: Intel Corporation
Inventor： Jose Camacho Perez , Miguel Bernal Marin , Mario Alfredo C. Arevalo , Hector Cordourier Maruri , Jesus Adan Cruz Vargas , Abraham Duenas De La Cruz , Paulo Lopez Meyer , Julio Zamora Esquivel
Abstract: A disclosed example includes providing vibration information to a model, the vibration information corresponding to a first vibration measured at a first mobile device when the first mobile device is in a state of non-use by a user, the model based on a plurality of vibration patterns that correspond to second vibrations measured by second mobile devices in different environments; identifying, using the model, one of the vibration patterns that corresponds to the vibration information; determining an environment of the first mobile device based on the one of the vibration patterns; and instructing the first mobile device to modify a functionality of the first mobile device based on the environment.
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公开(公告)号：US11249492B2
公开(公告)日：2022-02-15
申请号：US16365361
申请日：2019-03-26
Applicant: Intel Corporation
Inventor： Julio Cesar Zamora Esquivel , Rodrigo Aldana Lopez , Leobardo Campos Macias , Jesus Adan Cruz Vargas , Rafael de la Guardia Gonzalez , David Gomez Gutierrez , Edgar Macias Garcia
Abstract: Methods and apparatus to facilitate autonomous navigation of robotic devices. An example autonomous robot includes a region model analyzer to: analyze a first image of an environment based on a first neural network model, the first image captured by an image sensor of the robot when the robot is in a first region of the environment; and analyze a second image of the environment based on a second neural network model, the second image captured by the image sensor when the robot is in a second region of the environment, the second neural network associated with the second region. The example robot further includes a movement controller to: autonomously control movement of the robot within the first region toward the second region based on the analysis of the first image; and autonomously control movement of the robot within the second region based on the analysis of the second image.
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公开(公告)号：US20210081756A1
公开(公告)日：2021-03-18
申请号：US17107759
申请日：2020-11-30
Applicant: Intel Corporation
Inventor： Julio C. Zamora Esquivel , Jesus Adan Cruz Vargas , Jose Rodrigo Camacho Perez , Paulo Lopez Meyer , Hector A. Cordourier Maruri , Omesh Tickoo
Abstract: An apparatus to facilitate fractional convolutional kernels is disclosed. The apparatus includes one or more processors comprising a convolution circuit of a neural network, the convolution circuit to initialize a set of parameters of a fractional convolutional kernel, the set of parameters comprising at least a fractional derivative parameter that is initialized with a fractional value, and apply the fractional convolutional kernel to input data to convolve the input data to obtain output data.
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公开(公告)号：US20200228644A1
公开(公告)日：2020-07-16
申请号：US16836379
申请日：2020-03-31
Applicant: Intel Corporation
Inventor： Jose Camacho Perez , Miguel Bernal Marin , Mario Alfredo Carrillo Arevalo , Hector Cordourier Maruri , Jesus Adan Cruz Vargas , Abraham Duenas De La Cruz , Paulo Lopez Meyer , Julio Zamora Esquivel
Abstract: Technology for a mobile device is described. The mobile device can include a vibration motor operable to generate a vibration, and a sensor operable to capture a plurality of vibration signals that result from the vibration. The mobile device can provide the plurality of vibration signals to a model running on the mobile device. The model can include a plurality of predefined patterns that correspond to vibration signals produced by mobile devices residing on different surfaces. The mobile device can identify, using the model, a predefined pattern in the plurality of predefined patterns that substantially corresponds to the plurality of vibration signals based on a confidence level that exceeds a threshold. The mobile device can determine a type of surface on which the mobile device resides based on the predefined pattern identified using the model.
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