公开(公告)号：US20240118744A1

公开(公告)日：2024-04-11

申请号：US18371990

申请日：2023-09-22

Applicant: Apple Inc.

Inventor： Richard T. VAUGHAN ,  Jamil DHANANI ,  Juan C. GARCIA ,  SeyedMehdi MOHAIMENIANPOUR ,  Geoffrey NAGY ,  Timothy S. PAEK ,  Naga Rama Abhishek PRATAPA ,  Muhammad Amir SHAFIQ

IPC: G06F3/01 ,  G06T7/20 ,  G06T7/70 ,  G06T17/00 ,  G06V20/50 ,  G06V40/10

CPC classification number: G06F3/011 ,  G06T7/20 ,  G06T7/70 ,  G06T17/00 ,  G06V20/50 ,  G06V40/10 ,  G06T2207/30241 ,  G06T2207/30244

Abstract: Systems and processes for an integrated sensor framework are provided. For example, a first electronic device receives at least one input including sensor data from a second device. A representation of a physical environment associated with the first electronic device is obtained based on sensor data from the first electronic device and the sensor data from the second device. Movement information corresponding to movement of an object within the physical environment is identified. Event information is determined corresponding to activity within the physical environment, wherein the event information is determined based on the identified movement information and the representation of the physical environment. Accordingly, an output is provided to the user based on the event information.

公开(公告)号：US20200334570A1

公开(公告)日：2020-10-22

申请号：US16530855

申请日：2019-08-02

Applicant: Apple Inc.

Inventor： Aaron B. FRANKLIN ,  Kanit WONGSUPHASAWAT ,  Naga Rama Abhishek PRATAPA ,  Srikrishna SRIDHAR ,  Zachary A. NATION

IPC: G06N20/00 ,  G06F17/16 ,  G06F16/904

Abstract: The subject technology receives information associated with a machine learning model. The subject technology determines a set of metrics based at least in part on the information associated with the machine learning model, where the set of metrics corresponds to respective indicators of performance of the machine learning model based on input data from a data set, the set of metrics further including a number of errors produced by the machine learning model when applied to the input data from the data set. Further, the subject technology displays a user interface based at least in part on the set of metrics, where the user interface includes a set of graphical elements, and the set of graphical elements further includes representations of the set of metrics, and representations of the input data from the data set utilized by the machine learning model.