公开(公告)号：US20240104895A1

公开(公告)日：2024-03-28

申请号：US18213666

申请日：2023-06-23

Applicant: Apple Inc.

Inventor： Fernando A. MUJICA ,  Vijay SRIVATSAN ,  Muhammad Umair SIDDIQUE

IPC: G06V10/764 ,  G06V10/80

CPC classification number: G06V10/764 ,  G06V10/803 ,  G06V10/811

Abstract: The present disclosure generally relates select data (e.g., sensor data and/or depth values generated using sensor data). In some examples, techniques for determining whether to use sensor fusion are provided. In some examples, techniques for determining whether to use a voting mechanism are provided. In some examples, techniques for responding to different types of decisions are provided.

公开(公告)号：US20250165747A1

公开(公告)日：2025-05-22

申请号：US19030867

申请日：2025-01-17

Applicant: APPLE INC.

Inventor： Erik Norden ,  Liran FISHEL ,  Sung Hee PARK ,  Jaewon SHIN ,  Christopher L. MILLS ,  Seungjin LEE ,  Fernando A. MUJICA

IPC: G06N3/04 ,  G06F1/3296 ,  G06N3/08

Abstract: Embodiments relate to a neural processor circuit with scalable architecture for instantiating one or more neural networks. The neural processor circuit includes a data buffer coupled to a memory external to the neural processor circuit, and a plurality of neural engine circuits. To execute tasks that instantiate the neural networks, each neural engine circuit generates output data using input data and kernel coefficients. A neural processor circuit may include multiple neural engine circuits that are selectively activated or deactivated according to configuration data of the tasks. Furthermore, an electronic device may include multiple neural processor circuits that are selectively activated or deactivated to execute the tasks.

公开(公告)号：US20240104907A1

公开(公告)日：2024-03-28

申请号：US18213742

申请日：2023-06-23

Applicant: Apple Inc.

Inventor： Fernando A. MUJICA ,  Vijay SRIVATSAN ,  Muhammad Umair SIDDIQUE

IPC: G06V10/776 ,  G06T7/55 ,  G06V10/80

CPC classification number: G06V10/776 ,  G06T7/55 ,  G06V10/817

Abstract: The present disclosure generally relates select data (e.g., sensor data and/or depth values generated using sensor data). In some examples, techniques for determining whether to use sensor fusion are provided. In some examples, techniques for determining whether to use a voting mechanism are provided. In some examples, techniques for responding to different types of decisions are provided.