公开(公告)号：US12299423B2

公开(公告)日：2025-05-13

申请号：US17688524

申请日：2022-03-07

Applicant: Intel Corporation

Inventor： Brian Cremeans ,  Marcos Emanuel Carranza ,  Krishna Surya ,  Mats Agerstam ,  Justin Gottschlich

IPC: G06F8/41 ,  G06F8/20 ,  G06F8/36 ,  G06F8/73 ,  G06N20/00

Abstract: Apparatus, devices, systems, methods, and articles of manufacture for intent-based machine programming are disclosed. An example system categorize source code blocks includes a code repository accessor to access a code repository and select a source code block. The example system also includes a signature generator to generate a signature for the source code block, a collateral miner to extract collateral associated with the source code block, and a tokenizer to transform the source code block into tokens. In addition, the example system includes a function assessor to determine a function of the source code block based on the collateral and the tokens and an input/output determiner to determine an input and an output of the source code block based on the collateral and the signature. The example system further includes a tagger to categorize the source code block with the function, input, and output.

公开(公告)号：US12162480B2

公开(公告)日：2024-12-10

申请号：US18104923

申请日：2023-02-02

Applicant: Intel Corporation

Inventor： Alexander Heinecke ,  Sara Baghsorkhi ,  Justin Gottschlich ,  Mohammad Mejbah Ul Alam ,  Shengtian Zhou ,  Jeffrey Ota

IPC: B60W30/09 ,  B60T8/1755 ,  B60W10/18 ,  B60W10/20 ,  B60W30/095 ,  B60W50/00 ,  G06N20/00

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed herein that mitigate hard-braking events. An example apparatus at least one memory; instructions; and processor circuitry to execute the instructions to: determine a danger level associated with an object, the danger level indicative of a first measure of damage corresponding to a trajectory of the object compared to a trajectory of a vehicle; determine, based on the first danger level, a danger measure based on at least one of a position of the object, a velocity of the object, an acceleration of the object, a direction of travel of the object, a weight or mass of the object; and generate instructions to transmit to a steering system or a braking system of the vehicle based on the determination.

公开(公告)号：US11577388B2

公开(公告)日：2023-02-14

申请号：US16455190

申请日：2019-06-27

Applicant: Intel Corporation

Inventor： David I. Gonzalez Aguirre ,  Javier Felip Leon ,  Javier Sebastián Turek ,  Luis Carlos Maria Remis ,  Ignacio Javier Alvarez ,  Justin Gottschlich

IPC: B25J9/16

Abstract: Apparatus, systems, methods, and articles of manufacture for automatic robot perception programming by imitation learning are disclosed. An example apparatus includes a percept mapper to identify a first percept and a second percept from data gathered from a demonstration of a task and an entropy encoder to calculate a first saliency of the first percept and a second saliency of the second percept. The example apparatus also includes a trajectory mapper to map a trajectory based on the first percept and the second percept, the first percept skewed based on the first saliency, the second percept skewed based on the second saliency. In addition, the example apparatus includes a probabilistic encoder to determine a plurality of variations of the trajectory and create a collection of trajectories including the trajectory and the variations of the trajectory. The example apparatus also includes an assemble network to imitate an action based on a first simulated signal from a first neural network of a first modality and a second simulated signal from a second neural network of a second modality, the action representative of a perceptual skill.

公开(公告)号：US20230039377A1

公开(公告)日：2023-02-09

申请号：US17967830

申请日：2022-10-17

Applicant: Intel Corporation

Inventor： Marcos Emanuel Carranza ,  Cesar Martinez-Spessot ,  Mats Agerstam ,  Maria Ramirez Loaiza ,  Alexander Heinecke ,  Justin Gottschlich

IPC: G06N20/10 ,  G06N20/20 ,  G06K9/62 ,  G06F8/41

Abstract: Methods, apparatus, systems and articles of manufacture to provide machine assisted programming are disclosed. An example apparatus includes a feature extractor to convert compiled code into a first feature vector; a first machine leaning model to identify a cluster of stored feature vectors corresponding to the first feature vector; and a second machine learning model to recommend a second algorithm corresponding to a second feature vector of the cluster based on a comparison of a parameter of a first algorithm corresponding to the first feature vector and the parameter of the second algorithm.

公开(公告)号：US20220274251A1

公开(公告)日：2022-09-01

申请号：US17525785

申请日：2021-11-12

Applicant: INTEL CORPORATION

Inventor： Javier Felip Leon ,  Ignacio Javier Alvarez ,  David Isreal Gonzalez-Aguirre ,  Javier Sabastian Turek ,  Justin Gottschlich

IPC: B25J9/16 ,  G05B13/02 ,  G06N3/04

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed for industrial robot code recommendation. Disclosed examples include an apparatus comprising: at least one memory; instructions in the apparatus; and processor circuitry to execute the instructions to at least: generate at least one action proposal for an industrial robot; rank the at least one action proposal based on encoded scene information; generate parameters for the at least one action proposal based on the encoded scene information, task data, and environment data; and generate an action sequence based on the at least one action proposal.

公开(公告)号：US11386157B2

公开(公告)日：2022-07-12

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 ,  G06F16/2457 ,  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.

公开(公告)号：US20220108182A1

公开(公告)日：2022-04-07

申请号：US17551170

申请日：2021-12-14

Applicant: Intel Corporation

Inventor： Todd A. Anderson ,  Shengtian Zhou ,  Javier Turek ,  Celine Lee ,  Justin Gottschlich

IPC: G06N3/08 ,  G06F40/30 ,  G06N3/04

Abstract: Methods and apparatus to train models for program synthesis are disclosed. A disclosed example apparatus includes at least one memory, instructions, and processor circuitry. The processor circuitry is to execute the instructions to sample pairs of programs, the pairs of programs including first programs and second programs, the first programs including natural language descriptions and second programs, calculate program similarity scores corresponding to the pairs of programs, and train a model based on entries corresponding to ones of the pairs of programs, at least one of the entries including a corresponding one of the natural language descriptions with a paired one of the second programs, and a corresponding one of the program similarity scores.

公开(公告)号：US11061650B2

公开(公告)日：2021-07-13

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

IPC: G06F8/38 ,  G06F8/10 ,  G06N3/04 ,  G06T7/168 ,  G06F9/451 ,  G06N5/04

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.

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.

公开(公告)号：US20190318366A1

公开(公告)日：2019-10-17

申请号：US16453649

申请日：2019-06-26

Applicant: Intel Corporation

Inventor： Marcos Carranza ,  Brian Cremeans ,  Krishna Surya ,  Mats Agerstam ,  Shengtian Zhou ,  Maria Ramirez Loaiza ,  Cesar Martinez-Spessot ,  Mohammad Mejbah ul Alam ,  Dario Oliver ,  Justin Gottschlich

IPC: G06Q30/00 ,  G06F16/28 ,  G06N20/00 ,  G06N5/04

Abstract: An apparatus includes a feature extractor to extract features from input data, the features including descriptive information corresponding to a function of the input data, an inference generator to classify the features into a group indicative of a semantic property, a programming pattern, or a compliance type of the function of the input data, assign a cluster identifier to the features based on a prediction that the features are classified into the group, and retrieve solutions from a database that correspond to the cluster identifier, and a suggestion determiner to generate a suggestion list by building a pool of suggestions to present to a user.