公开(公告)号：US10853554B2

公开(公告)日：2020-12-01

申请号：US16456825

申请日：2019-06-28

Applicant: Intel Corporation

Inventor： Javier Sebastian Turek ,  Javier Felip Leon ,  Alexander Heinecke ,  Evangelos Georganas ,  Luis Carlos Maria Remis ,  Ignacio Javier Alvarez ,  David Israel Gonzalez Aguirre ,  Shengtian Zhou ,  Justin Gottschlich

IPC: G06F30/30 ,  G06F30/398 ,  G06N3/04 ,  G06N3/08

Abstract: Systems and methods for determining a configuration for a microarchitecture are described herein. An example system includes a proposal generator to generate a first candidate configuration of parameters for the microarchitecture, a machine learning model to process the first candidate configuration of parameters to output estimated performance indicators for the microarchitecture, an uncertainty checker to determine whether the estimated performance indicators are reliable, and a performance checker. In response to a determination that the estimated performance indicators are reliable, the performance checker is to determine whether the estimated performance indicators have improved toward a target. Further, if the estimated performance indicators have improved, the performance checker is to store the first candidate configuration of parameters in a memory as a potential solution for a microarchitecture without performing a full simulation on the first candidate configuration of parameters.

公开(公告)号：US20190314984A1

公开(公告)日：2019-10-17

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：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

IPC: G06N3/08 ,  G06N3/045

CPC classification number: G06N3/08 ,  G06N3/045

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：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.

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.

公开(公告)号：US20210157968A1

公开(公告)日：2021-05-27

申请号：US17107444

申请日：2020-11-30

Applicant: Intel Corporation

Inventor： Javier Sebastián Turek ,  Javier Felip Leon ,  Alexander Heinecke ,  Evangelos Georganas ,  Luis Carlos Maria Remis ,  Ignacio Javier Alvarez ,  David Israel Gonzalez Aguirre ,  Shengtian Zhou ,  Justin Gottschlich

IPC: G06F30/398 ,  G06N3/04 ,  G06N3/08

Abstract: Systems and methods for determining a configuration for a microarchitecture are described herein. An example system includes a proposal generator to generate a first candidate configuration of parameters for the microarchitecture, a machine learning model to process the first candidate configuration of parameters to output estimated performance indicators for the microarchitecture, an uncertainty checker to determine whether the estimated performance indicators are reliable, and a performance checker. In response to a determination that the estimated performance indicators are reliable, the performance checker is to determine whether the estimated performance indicators have improved toward a target. Further, if the estimated performance indicators have improved, the performance checker is to store the first candidate configuration of parameters in a memory as a potential solution for a microarchitecture without performing a full simulation on the first candidate configuration of parameters.

公开(公告)号：US11921473B2

公开(公告)日：2024-03-05

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 ,  G06N3/086 ,  G06N3/088 ,  G06N20/00

CPC classification number: G05B13/027 ,  G05B13/04 ,  G06N3/086 ,  G06N3/088 ,  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：US11386256B2

公开(公告)日：2022-07-12

申请号：US17107444

申请日：2020-11-30

Applicant: Intel Corporation

Inventor： Javier Sebastián Turek ,  Javier Felip Leon ,  Alexander Heinecke ,  Evangelos Georganas ,  Luis Carlos Maria Remis ,  Ignacio Javier Alvarez ,  David Israel Gonzalez Aguirre ,  Shengtian Zhou ,  Justin Gottschlich

IPC: G06F30/398 ,  G06N3/04 ,  G06N3/08

Abstract: Systems and methods for determining a configuration for a microarchitecture are described herein. An example system includes a proposal generator to generate a first candidate configuration of parameters for the microarchitecture, a machine learning model to process the first candidate configuration of parameters to output estimated performance indicators for the microarchitecture, an uncertainty checker to determine whether the estimated performance indicators are reliable, and a performance checker. In response to a determination that the estimated performance indicators are reliable, the performance checker is to determine whether the estimated performance indicators have improved toward a target. Further, if the estimated performance indicators have improved, the performance checker is to store the first candidate configuration of parameters in a memory as a potential solution for a microarchitecture without performing a full simulation on the first candidate configuration of parameters.

公开(公告)号：US20220193895A1

公开(公告)日：2022-06-23

申请号：US17646689

申请日：2021-12-31

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：US20190325108A1

公开(公告)日：2019-10-24

申请号：US16456825

申请日：2019-06-28

Applicant: Intel Corporation

Inventor： Javier Sebastián Turek ,  Javier Felip Leon ,  Alexander Heinecke ,  Evangelos Georganas ,  Luis Carlos Maria Remis ,  Ignacio Javier Alvarez ,  David Israel Gonzalez Aguirre ,  Shengtian Zhou ,  Justin Gottschlich

IPC: G06F17/50 ,  G06N3/08 ,  G06N3/04

Abstract: Systems and methods for determining a configuration for a microarchitecture are described herein. An example system includes a proposal generator to generate a first candidate configuration of parameters for the microarchitecture, a machine learning model to process the first candidate configuration of parameters to output estimated performance indicators for the microarchitecture, an uncertainty checker to determine whether the estimated performance indicators are reliable, and a performance checker. In response to a determination that the estimated performance indicators are reliable, the performance checker is to determine whether the estimated performance indicators have improved toward a target. Further, if the estimated performance indicators have improved, the performance checker is to store the first candidate configuration of parameters in a memory as a potential solution for a microarchitecture without performing a full simulation on the first candidate configuration of parameters.