公开(公告)号：US20200050476A1

公开(公告)日：2020-02-13

申请号：US16505127

申请日：2019-07-08

Applicant: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.

Inventor： Ningyi Xu ,  Yan Huang ,  Jinchen Han ,  Peng Wu ,  Jiaxin Shi

IPC: G06F9/46 ,  G06F9/38 ,  G06F9/54 ,  G06F9/52 ,  G06N3/02

Abstract: Embodiments of the present disclosure disclose an artificial intelligence chip and an instruction execution method for an artificial intelligence chip. A specific embodiment of the artificial intelligence chip includes: an instruction memory, a data memory, at least one general execution unit, and at least one dedicated execution unit. The instruction memory is configured to: receive a kernel code including at least one code block. The general execution unit is configured to: receive the code block, lock the dedicated execution unit associated with the received code block, and send an instruction in the received code block to the locked dedicated execution unit. The dedicated execution unit is configured to: execute the received instruction, and store an execution result in the data memory. The data memory is configured to: store the execution result sent by the dedicated execution unit.

公开(公告)号：US20200320686A1

公开(公告)日：2020-10-08

申请号：US16701025

申请日：2019-12-02

Applicant: Beijing Baidu Netcom Science And Technology Co., LTD.

Inventor： Yehui Yang ,  Yanwu Xu ,  Lei Wang ,  Yan Huang

IPC: G06T7/00 ,  G06T7/11 ,  G06T7/174 ,  A61B3/00 ,  A61B3/12 ,  G06N20/00 ,  G06K9/62

Abstract: Embodiments of the present disclosure provide a method and apparatus for processing a fundus image. The method may include: acquiring a target fundus image; dividing the target fundus image into at least two first image blocks; inputting a first image block into a pre-trained deep learning model, to obtain a first output value; and determining, based on the first output value and a threshold, whether the first image block is the fundus image block containing a predetermined type of image region.

公开(公告)号：US11372673B2

公开(公告)日：2022-06-28

申请号：US16505127

申请日：2019-07-08

Applicant: BEIJING BAIDU NETCOM SCIENCE AND TECHNOLOGY CO., LTD.

Inventor： Ningyi Xu ,  Yan Huang ,  Jinchen Han ,  Peng Wu ,  Jiaxin Shi

IPC: G06F9/46 ,  G06F9/38 ,  G06F9/52 ,  G06F9/50

Abstract: Embodiments of the present disclosure disclose an artificial intelligence chip and an instruction execution method for an artificial intelligence chip. A specific embodiment of the artificial intelligence chip includes: an instruction memory, a data memory, at least one general execution unit, and at least one dedicated execution unit. The instruction memory is configured to: receive a kernel code including at least one code block. The general execution unit is configured to: receive the code block, lock the dedicated execution unit associated with the received code block, and send an instruction in the received code block to the locked dedicated execution unit. The dedicated execution unit is configured to: execute the received instruction, and store an execution result in the data memory. The data memory is configured to: store the execution result sent by the dedicated execution unit.

公开(公告)号：US11232560B2

公开(公告)日：2022-01-25

申请号：US16701025

申请日：2019-12-02

Applicant: Beijing Baidu Netcom Science And Technology Co., LTD.

Inventor： Yehui Yang ,  Yanwu Xu ,  Lei Wang ,  Yan Huang

IPC: G06T7/00 ,  G06T7/11 ,  G06T7/174 ,  G06N20/00 ,  A61B3/00 ,  A61B3/12 ,  G06K9/62

Abstract: Embodiments of the present disclosure provide a method and apparatus for processing a fundus image. The method may include: acquiring a target fundus image; dividing the target fundus image into at least two first image blocks; inputting a first image block into a pre-trained deep learning model, to obtain a first output value; and determining, based on the first output value and a threshold, whether the first image block is the fundus image block containing a predetermined type of image region.