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    METHODS AND ARRANGEMENTS TO IDENTIFY ACTIVATION PROFILE CONTEXT IN TRAINING DATA
    41.
    发明申请
    METHODS AND ARRANGEMENTS TO IDENTIFY ACTIVATION PROFILE CONTEXT IN TRAINING DATA 审中-公开

    公开(公告)号：US20200302301A1

    公开(公告)日：2020-09-24

    申请号：US16894535

    申请日：2020-06-05

    Applicant: Intel Corporation

    Inventor： Glen J. Anderson ,  Rajesh Poornachandran ,  Ignacio Alvarez ,  Giuseppe Raffa ,  Jill Boyce ,  Ankur Agrawal ,  Kshitij Doshi

    IPC: G06N3/08 ,  G06N3/04

    Abstract: Logic may determine a specific performance of a neural network based on an event and may present the specific performance to provide a user with an explanation of the inference by a machine learning model such as a neural network. Logic may determine a first activation profile associated with the event, the first activation profile based on activation of nodes in one or more layers of the neural network during inference to generate an output. Logic may correlate the first activation profile against a second activation profile associated with a first training sample of training data. Logic may determine that the first training sample is associated with the event based on the correlation. Logic may output an indicator to identify the first training sample as being associated with the event.

    Methods and apparatus to develop in-vehicle experiences in simulated environments
    44.
    发明授权
    Methods and apparatus to develop in-vehicle experiences in simulated environments 有权

    公开(公告)号：US10559217B2

    公开(公告)日：2020-02-11

    申请号：US15229996

    申请日：2016-08-05

    Applicant: Intel Corporation

    Inventor： Ignacio Alvarez ,  Laura Rumbel ,  Adam Jordan ,  Carlos Montesinos

    IPC: G09B5/02 ,  G09B9/05 ,  G06F17/50

    Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to develop driving simulations. An example apparatus includes a vehicle configuration engine to retrieve first tier environment parameters associated with a simulation type, and generate second tier environment parameters associated with the simulation type, a simulation modifier (SM) source engine to identify a source of SMs, and distinguish respective ones of the source of SMs that are compatible with the simulation type and the second tier environment parameters, and a development environment configuration engine to improve simulation design efficiency by associating simulation events with only the respective ones of the SMs that are compatible with the simulation type.

    TECHNOLOGIES FOR CONTEXTUAL NATURAL LANGUAGE GENERATION IN A VEHICLE
    46.
    发明申请
    TECHNOLOGIES FOR CONTEXTUAL NATURAL LANGUAGE GENERATION IN A VEHICLE 审中-公开

    公开(公告)号：US20190051302A1

    公开(公告)日：2019-02-14

    申请号：US16139131

    申请日：2018-09-24

    Applicant: Intel Corporation

    Inventor： Jesus Gonzalez ,  Ignacio Alvarez

    IPC: G10L15/22 ,  G10L15/18 ,  G06K9/00 ,  G10L25/90

    Abstract: Technologies for contextual natural language generation in a vehicle are disclosed. A natural language generation system may generate responses to passenger input that is based on the passenger state, the vehicle state, and the state of a dialogue manager. Tailoring parameters such as tone, volume, lexicon, etc., may allow for a more positive response from a passenger in the vehicle, increasing the trust and faith the passenger may have in the vehicle's computing system.

    AUTOMATED NETWORK CONTROL SYSTEMS THAT ADAPT NETWORK CONFIGURATIONS BASED ON THE LOCAL NETWORK ENVIRONMENT
    50.
    发明公开
    AUTOMATED NETWORK CONTROL SYSTEMS THAT ADAPT NETWORK CONFIGURATIONS BASED ON THE LOCAL NETWORK ENVIRONMENT 审中-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

    IPC: H04W24/02 ,  H04L41/16 ,  H04W52/24

    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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