公开(公告)号：WO2020236904A1

公开(公告)日：2020-11-26

申请号：PCT/US2020/033750

申请日：2020-05-20

Applicant: APPLE INC.

Inventor： ROSSI, Francesco ,  JAGADEESH, Vignesh ,  SHARMA, Vinay ,  ZULIANI, Marco ,  SHI, Xiaojin ,  POULAIN, Benjamin

IPC: G06N3/10 ,  G06N3/04

Abstract: A method includes receiving input data at a trained machine learning model that includes a common part and task-specific parts, receiving an execution instruction that identifies one or more processing tasks to be performed, processing the input data using the common part of the trained machine learning model to generate intermediate data, and processing the intermediate data using one or more of the task-specific parts of the trained machine learning model based on the execution instruction to generate one or more outputs.

公开(公告)号：WO2014042850A1

公开(公告)日：2014-03-20

申请号：PCT/US2013/056472

申请日：2013-08-23

Applicant: APPLE INC.

Inventor： POULAIN, Benjamin

IPC: G06F1/32

CPC classification number: G06F1/3287 ,  Y02D10/171

Abstract: Implementations are disclosed for activating hardware on a device preemptively based on whether a service associated with the hardware will be required or likely be used by an application, or if the application's access to the service is granted by a user of the application. The disclosed implementations provide a perceived improvement of performance by applications supported by slow starting hardware.

Abstract translation: 公开了用于基于是否需要或可能被应用使用与硬件相关联的服务或者应用程序对应用程序的访问权限由应用程序的用户授予的设备，先于设备激活硬件的实现。 所公开的实现提供了由缓慢启动硬件支持的应用程序对性能的感知改善。