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：US20210309264A1

公开(公告)日：2021-10-07

申请号：US17134331

申请日：2020-12-26

Applicant: Intel Corporation

Inventor： Javier Felip Leon ,  Nilesh Ahuja ,  Leobardo Campos Macias ,  Rafael De La Guardia Gonzalez ,  David Gomez Gutierrez ,  David Israel Gonzalez Aguirre ,  Anthony Kyung Guzman Leguel ,  Ranganath Krishnan ,  Jose Ignacio Parra Vilchis

IPC: B60W60/00 ,  G05B13/04 ,  G05D1/02 ,  B25J9/16

Abstract: A human-robot collaboration system, including at least one processor; and a non-transitory computer-readable storage medium including instructions that, when executed by the at least one processor, cause the at least one processor to: predict a human atomic action based on a probability density function of possible human atomic actions for performing a predefined task; and plan a motion of the robot based on the predicted human atomic action.

公开(公告)号：US20210034947A1

公开(公告)日：2021-02-04

申请号：US17075527

申请日：2020-10-20

Applicant: Intel Corporation

Inventor： Hechen Wang ,  Richard Dorrance ,  Deepak Dasalukunte ,  David Israel Gonzalez Aguirre

IPC: G06N3/04 ,  H03L7/089 ,  H03L7/099 ,  G06F1/06

Abstract: Methods, apparatus, systems, and articles of manufacture providing an improved Bayesian neural network and methods and apparatus to operate the same are disclosed. An example apparatus includes an oscillator to generate a first clock signal; a resistive element to adjust a slope of a rising edge of a second clock signal; a voltage sampler to generate a sample based on at least one of (a) a first voltage of the first clock signal when a second voltage of the second clock signal satisfies a threshold or (b) a third voltage of the second clock signal when a fourth voltage of the first clock signal satisfies the threshold; and a charge pump to adjust a weight based on the sample, the weight to adjust data in a model.

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.

公开(公告)号：US20240314290A1

公开(公告)日：2024-09-19

申请号：US18521937

申请日：2023-11-28

Applicant: Intel Corporation

Inventor： David Israel Gonzalez Aguirre ,  Javier Perez-Ramirez ,  Javier Felip Leon ,  Edgar Macias Garcia ,  Julio Cesar Zamora Esquivel

IPC: H04N13/388 ,  G06T17/00 ,  H04N23/69 ,  H04N23/695

CPC classification number: H04N13/388 ,  G06T17/00 ,  H04N23/69 ,  H04N23/695

Abstract: Example systems, apparatus, articles of manufacture, and methods to model volumetric representations of objects in scenes are disclosed. Example apparatus disclosed herein are to form a set of polycells from image data of a scene, a first one of the polycells based on an intersection of (a) a first polytope representative of at least a portion of a first view frustrum corresponding to a first camera, and (b) a second polytope representative of at least a portion of a second view frustrum corresponding to a second camera. Disclosed example apparatus is also to determine a probability that the first one of the polycells is at least partially within an object in the scene, and based on comparison of the probability to a threshold, remove the first one of the polycells from the set of polycells to determine an updated set of polycells that model the object.

公开(公告)号：US11861494B2

公开(公告)日：2024-01-02

申请号：US16913318

申请日：2020-06-26

Applicant: Intel Corporation

Inventor： Javier Felip Leon ,  Javier Sebastian Turek ,  David Israel Gonzalez Aguirre ,  Ignacio J. Alvarez ,  Javier Perez-Ramirez ,  Mariano Tepper

IPC: G06N3/08 ,  G06N3/06 ,  G06N3/008 ,  G06N3/04 ,  G06N7/06 ,  G06N3/045 ,  G06N3/0455

CPC classification number: G06N3/08 ,  G06N3/008 ,  G06N3/04 ,  G06N3/045 ,  G06N3/0455 ,  G06N7/06

Abstract: Systems, apparatuses and methods may provide for technology that identifies a cognitive space that is to be a compressed representation of activations of a neural network, maps a plurality of activations of the neural network to a cognitive initial point and a cognitive destination point in the cognitive space and generates a first cognitive trajectory through the cognitive space, wherein the first cognitive trajectory traverses the cognitive space from the cognitive initial point to the cognitive destination point.

公开(公告)号：US20210191696A1

公开(公告)日：2021-06-24

申请号：US17121686

申请日：2020-12-14

Applicant: Intel Corporation

Inventor： Alejandro Ibarra Von Borstel ,  Hector Cordourier Maruri ,  Julio Cesar Zamora Esquivel ,  Jorge Emmanuel Ortiz Garcia ,  Guillermo Antonio Palomino Sosa ,  Fernando Ambriz Meza ,  David Israel Gonzalez Aguirre

IPC: G06F8/36 ,  G06F9/54 ,  G06F16/33 ,  G06F8/41

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to identify and interpret code. An example apparatus includes a natural language (NL) processor to process NL features to identify a keyword, an entity, and an intent of an NL string included in an input retrieved from a user; a database driver to transmit a query to a database including an ontological representation of a version control system, wherein the query is a parameterized semantic query including the keyword, the entity, and the intent of the NL string; and an application programming interface (API) to present to the user a code snippet determined based on the query, the code snippet being at least one of uncommented or non-self-documented.

公开(公告)号：US20210165481A1

公开(公告)日：2021-06-03

申请号：US17172878

申请日：2021-02-10

Applicant: Intel Corporation

Inventor： Rita Brugarolas Brufau ,  David Israel Gonzalez Aguirre ,  Philip Krejov

IPC: G06F3/01 ,  G06T15/00 ,  G06N20/00 ,  G06N7/00

Abstract: A system, article, and method of interactive storytelling generates probability-based personalized views factoring observable user behaviors.

公开(公告)号：US20210114606A1

公开(公告)日：2021-04-22

申请号：US17133074

申请日：2020-12-23

Applicant: Intel Corporation

Inventor： Ignacio J. Alvarez ,  Maria Soledad Elli ,  Javier Felip Leon ,  Javier Sebastian Turek ,  David Israel Gonzalez Aguirre

IPC: B60W50/02 ,  H04L29/06 ,  B60W50/029 ,  B60W50/038

Abstract: A vehicle control system (VCS) for a vehicle may include an in-vehicle bus and an intrusion detection system (IDS). The IDS may: calculate a planned output of the vehicle based on a message of a message stream received from at least one electronic control unit (ECU) coupled to the in-vehicle bus, calculate a reachable set based on an uncertainty metric, and identify an intrusion of the VCS based on a comparison of the planned output and the reachable set.