公开(公告)号：US11614922B2

公开(公告)日：2023-03-28

申请号：US17129782

申请日：2020-12-21

Applicant: Apple Inc.

Inventor： Alexander B. Brown ,  Michael R. Siracusa ,  Gaurav Kapoor ,  Elizabeth Ottens ,  Christopher M. Hanson ,  Zachary A. Nation ,  Vrushali Mundhe ,  Srikrishna Sridhar

IPC: G06F8/30 ,  G06N20/00 ,  G06F8/35 ,  G06F8/10 ,  G06F8/36 ,  G06F8/60 ,  G06F8/71

Abstract: The subject technology transforms a machine learning model into a transformed machine learning model in accordance with a particular model specification when the machine learning model does not conform to the particular model specification, the particular model specification being compatible with an integrated development environment (IDE). The subject technology generates a code interface and code for the transformed machine learning model, the code interface including code statements in the object oriented programming language, the code statements corresponding to an object representing the transformed machine learning model. Further, the subject technology provides the generated code interface and the code for display in the IDE, the IDE enabling modifying of the generated code interface and the code.

公开(公告)号：US11386355B2

公开(公告)日：2022-07-12

申请号：US16706578

申请日：2019-12-06

Applicant: Apple Inc.

Inventor： Carlos E. Guestrin ,  Leon A. Gatys ,  Shreyas V. Joshi ,  Gustav M. Larsson ,  Kory R. Watson ,  Srikrishna Sridhar ,  Karla P. Vega ,  Shawn R. Scully ,  Thorsten Gernoth ,  Onur C Hamsici

IPC: G06T7/194 ,  G06N20/00 ,  G06T3/40

Abstract: A device implementing a system for providing predicted RGB images includes at least one processor configured to obtain an infrared image of a subject, and to obtain a reference RGB image of the subject. The at least one processor is further configured to provide the infrared image and the reference RGB image to a machine learning model, the machine learning model having been trained to output predicted RGB images of subjects based on infrared images and reference RGB images of the subjects. The at least one processor is further configured to provide a predicted RGB image of the subject based on output by the machine learning model.

公开(公告)号：US11169616B2

公开(公告)日：2021-11-09

申请号：US17033349

申请日：2020-09-25

Applicant: Apple Inc.

Inventor： Stephen O. Lemay ,  Michael R. Bastian ,  Roman Holenstein ,  Minwoo Jeong ,  Charles Maalouf ,  Brandon J. Newendorp ,  Heriberto Nieto ,  Timothy Paek ,  Joanna Peterson ,  Shawn Scully ,  Srikrishna Sridhar ,  Brandt M. Westing ,  Shiwen Zhao

IPC: G06F3/01 ,  G06F1/16 ,  G06F1/3206 ,  G06F3/0346 ,  G06F3/16 ,  G10L15/07

Abstract: Systems and processes for operating an intelligent automated assistant are provided. An example process includes detecting input representing motion of an electronic device and sampling an audio input with a microphone of the electronic device. The example process further includes determining, based on the audio input and the input representing motion of the electronic device, whether to initiate a virtual assistant session. In accordance with a determination to initiate the virtual assistant session, the example process includes initiating the virtual assistant session. In accordance with a determination not to initiate the virtual assistant session, the example process includes forgoing initiating the virtual assistant session.

公开(公告)号：US10606566B2

公开(公告)日：2020-03-31

申请号：US15721701

申请日：2017-09-29

Applicant: Apple Inc.

Inventor： Alexander B. Brown ,  Michael R. Siracusa ,  Gaurav Kapoor ,  Elizabeth A. Ottens ,  Christopher M. Hanson ,  Zachary A. Nation ,  Vrushali H. Mundhe ,  Srikrishna Sridhar

IPC: G06F8/35 ,  G06N20/00 ,  G06F8/41 ,  G06F8/10 ,  G06F8/30 ,  G06F8/71 ,  G06F8/60 ,  G06F8/36

Abstract: The subject technology provides for generating machine learning (ML) model code from a ML document file, the ML document file being in a first data format, the ML document file being converted to code in an object oriented programming language different than the first data format. The subject technology further provides for receiving additional code that calls a function provided by the ML model code. The subject technology compiles the ML model code and the additional code, the compiled ML model code including object code corresponding to the compiled ML model code and the compiled additional code including object code corresponding to the additional code. The subject technology generates a package including the compiled ML model code and the compiled additional code. Further, the subject technology sends the package to a runtime environment on a target device for execution.