公开(公告)号：US20190317455A1

公开(公告)日：2019-10-17

申请号：US16456957

申请日：2019-06-28

Applicant: Intel Corporation

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

IPC: G05B13/02 ,  G05B13/04 ,  G06N3/08 ,  G06N20/00

Abstract: Apparatus, systems, articles of manufacture, and methods to generate acceptability criteria for autonomous systems plans are disclosed. An example apparatus includes a data compiler to compile data generated by the autonomous system into an autonomous system task dataset, a data encoder to encode the dataset for input into a rule distillation neural network architecture, a model trainer to train the rule distillation neural network architecture, an adaptor to adapt the trained rule distillation neural network architecture to a new input data domain using the autonomous system task dataset, a verifier to generate formally verified acceptability criteria, and an inferer to evaluate a control command, the evaluation resulting in an acceptance or rejection of the command.

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.

公开(公告)号：US20190321974A1

公开(公告)日：2019-10-24

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.

公开(公告)号：US20190318244A1

公开(公告)日：2019-10-17

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

IPC: G06N3/08 ,  G06N3/04

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.

公开(公告)号：US20190317965A1

公开(公告)日：2019-10-17

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 ,  G06F16/9038 ,  G06F16/2457

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：US20190317739A1

公开(公告)日：2019-10-17

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 ,  G06T7/168 ,  G06N3/04 ,  G06F8/10

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：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：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：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.