公开(公告)号：US11169786B2

公开(公告)日：2021-11-09

申请号：US16781344

申请日：2020-02-04

Applicant: X Development LLC

Inventor： Rohan Badlani ,  Owen Lewis ,  Georgios Evangelopoulos ,  Olivia Hatalsky ,  Bin Ni

IPC: G06F9/44 ,  G06F8/41 ,  G06N20/00 ,  G06F8/73 ,  G06F8/38 ,  G06N3/04

Abstract: Implementations are described herein for generating embeddings of source code using both the language and graph domains, and leveraging combinations of these semantically-rich and structurally-informative embeddings for various purposes. In various implementations, tokens of a source code snippet may be applied as input across a sequence-processing machine learning model to generate a plurality of token embeddings. A graph may also be generated based on the source code snippet. A joint representation may be generated based on the graph and the incorporated token embeddings. The joint representation generated from the source code snippet may be compared to one or more other joint representations generated from one or more other source code snippets to make a determination about the source code snippet.

公开(公告)号：US20210240453A1

公开(公告)日：2021-08-05

申请号：US16781344

申请日：2020-02-04

Applicant: X Development LLC

Inventor： Rohan Badlani ,  Owen Lewis ,  Georgios Evangelopoulos ,  Olivia Hatalsky ,  Bin Ni

IPC: G06F8/41 ,  G06F8/73 ,  G06N20/00 ,  G06N3/04 ,  G06F8/38

Abstract: Implementations are described herein for generating embeddings of source code using both the language and graph domains, and leveraging combinations of these semantically-rich and structurally-informative embeddings for various purposes. In various implementations, tokens of a source code snippet may be applied as input across a sequence-processing machine learning model to generate a plurality of token embeddings. A graph may also be generated based on the source code snippet. A joint representation may be generated based on the graph and the incorporated token embeddings. The joint representation generated from the source code snippet may be compared to one or more other joint representations generated from one or more other source code snippets to make a determination about the source code snippet.

公开(公告)号：US20200205741A1

公开(公告)日：2020-07-02

申请号：US16284646

申请日：2019-02-25

Applicant: X Development LLC

Inventor： Sarah Ann Laszlo ,  Georgios Evangelopoulos

IPC: A61B5/00 ,  A61B5/16 ,  A61B5/0484 ,  G06N3/08 ,  G06N20/00 ,  G06F3/01

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for causing a stimulus presentation system to present content to a patient. Obtaining, from a brainwave sensor, electroencephalography (EEG) signals of the patient while the content is being presented to the patient. Identifying, from within the EEG signals of the patient, brainwave signals associated with a brain system of the patient, the brainwave signals representing a response by the patient to the content. Determining, based on providing the brainwave signals input features to a machine learning model, a likelihood that the patient will experience symptoms of anxiety within a period of time. Providing, for display on a user computing device, data indicating the likelihood that the patient will experience the symptoms of anxiety within the period of time.