公开(公告)号：US11954462B2

公开(公告)日：2024-04-09

申请号：US17499749

申请日：2021-10-12

Applicant: Intel Corporation

Inventor： Alejandro Ibarra Von Borstel ,  Fernando Ambriz Meza ,  David Israel Gonzalez Aguirre ,  Walter Alejandro Mayorga Macias ,  Rocio Hernandez Fabian

IPC: G06F9/44 ,  G06F8/35 ,  G06F8/41 ,  G06N20/00

CPC classification number: G06F8/35 ,  G06F8/427 ,  G06N20/00

Abstract: Methods, apparatus, and software for implementing dual Bayesian encoding-decoding for text-to-code transformations. In one aspect, a multi-model probabilistic source code model employing dual Bayesian encoder-decoder models is used to convert natural language (NL) inputs (aka requests) into source code. An NL input is processed to generate a Probabilistic Distribution (PD) of Source code (SC) tokens in an SC token sequence and a PD of Abstract Syntax Tree (AST) tokens in an AST token sequence, wherein each SC token is associated with a respective AST token, and each of the SC and AST tokens have a respective PD. One or more fixing rules are applied to one or more tokens SC tokens that are identified as needing fixing, wherein the fixing rule are selected in consideration of the PDs of the SC tokens and the PDs of their associated AST tokens.

公开(公告)号：US20240326242A1

公开(公告)日：2024-10-03

申请号：US18193797

申请日：2023-03-31

Applicant: Intel Corporation

Inventor： Alejandro Ibarra Von Borstel ,  Fernando Ambriz Meza ,  Cornelius Buerkle ,  Jose Rodrigo Camacho Perez ,  Hector Cordourier Maruri ,  Paulo Lopez Meyer ,  Fabian Oboril ,  Julio Zamora Esquivel ,  Jose Miguel Hernandez Miramontes

IPC: B25J9/16

CPC classification number: B25J9/163 ,  B25J9/161

Abstract: A self-reconfigurable controller for a robot, including: input/output (I/O) interfaces to enable communication with I/O peripheral devices coupled to the robot; and processing circuitry that is operable to: register the I/O peripheral devices and associated functionalities; receive a command for the robot to perform a task; conduct a self-awareness check to correlate functionalities to perform the task with functionalities of the I/O peripheral devices; and generate, based on a net of deep learning (DL) models and a result of the correlation, a target deep learning controller (TDLC) model to control the robot to perform the task.

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.