公开(公告)号：US20190005684A1

公开(公告)日：2019-01-03

申请号：US16022170

申请日：2018-06-28

Applicant: DeepMind Technologies Limited

Inventor： Jeffrey De Fauw ,  Joseph R. Ledsam ,  Bernardino Romera-Paredes ,  Stanislav Nikolov ,  Nenad Tomasev ,  Samuel Blackwell ,  Harry Askham ,  Xavier Glorot ,  Balaji Lakshminarayanan ,  Trevor Back ,  Mustafa Suleyman ,  Pearse A. Keane ,  Olaf Ronneberger ,  Julien Robert Michel Cornebise

IPC: G06T11/00 ,  G06K9/62 ,  G06T7/00

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating a final classification output for an image of eye tissue. The image is provided as input to each of one or more segmentation neural networks to obtain one or more segmentation maps of the eye tissue in the image. A respective classification input is generated from each of the segmentation maps. For each of the segmentation maps, the classification input for the segmentation map is provided as input to each of one or more classification neural networks to obtain, for each segmentation map, a respective classification output from each classification neural network. A final classification output for the image is generated from the respective classification outputs for each of the segmentation maps.

公开(公告)号：US12099928B2

公开(公告)日：2024-09-24

申请号：US18174394

申请日：2023-02-24

Applicant: DeepMind Technologies Limited

Inventor： Edward Thomas Grefenstette ,  Karl Moritz Hermann ,  Mustafa Suleyman ,  Philip Blunsom

IPC: G06N3/08 ,  G06N3/044 ,  G06N3/063 ,  G06N3/082

CPC classification number: G06N3/08 ,  G06N3/044 ,  G06N3/063 ,  G06N3/082

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for augmenting neural networks with an external memory. One of the methods includes providing an output derived from the neural network output for the time step as a system output for the time step; maintaining a current state of the external memory; determining, from the neural network output for the time step, memory state parameters for the time step; updating the current state of the external memory using the memory state parameters for the time step; reading data from the external memory in accordance with the updated state of the external memory; and combining the data read from the external memory with a system input for the next time step to generate the neural network input for the next time step.

公开(公告)号：US20230289598A1

公开(公告)日：2023-09-14

申请号：US18174394

申请日：2023-02-24

Applicant: DeepMind Technologies Limited

Inventor： EDWARD THOMAS GREFENSTETTE ,  Karl Moritz Hermann ,  Mustafa Suleyman ,  Philip Blunsom

IPC: G06N3/08 ,  G06N3/063 ,  G06N3/044 ,  G06N3/082

CPC classification number: G06N3/08 ,  G06N3/063 ,  G06N3/044 ,  G06N3/082

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for augmenting neural networks with an external memory. One of the methods includes providing an output derived from the neural network output for the time step as a system output for the time step; maintaining a current state of the external memory; determining, from the neural network output for the time step, memory state parameters for the time step; updating the current state of the external memory using the memory state parameters for the time step; reading data from the external memory in accordance with the updated state of the external memory; and combining the data read from the external memory with a system input for the next time step to generate the neural network input for the next time step.

公开(公告)号：US10410119B2

公开(公告)日：2019-09-10

申请号：US15172068

申请日：2016-06-02

Applicant: DeepMind Technologies Limited

Inventor： Edward Thomas Grefenstette ,  Karl Moritz Hermann ,  Mustafa Suleyman ,  Philip Blunsom

IPC: G06N3/08 ,  G06N3/04 ,  G06N3/063

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for augmenting neural networks with an external memory. One of the methods includes providing an output derived from the neural network output for the time step as a system output for the time step; maintaining a current state of the external memory; determining, from the neural network output for the time step, memory state parameters for the time step; updating the current state of the external memory using the memory state parameters for the time step; reading data from the external memory in accordance with the updated state of the external memory; and combining the data read from the external memory with a system input for the next time step to generate the neural network input for the next time step.

公开(公告)号：US11593640B2

公开(公告)日：2023-02-28

申请号：US16565245

申请日：2019-09-09

Applicant: DeepMind Technologies Limited

Inventor： Edward Thomas Grefenstette ,  Karl Moritz Hermann ,  Mustafa Suleyman ,  Philip Blunsom

IPC: G06N3/08 ,  G06N3/04 ,  G06N3/063 ,  G06N3/082

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for augmenting neural networks with an external memory. One of the methods includes providing an output derived from the neural network output for the time step as a system output for the time step; maintaining a current state of the external memory; determining, from the neural network output for the time step, memory state parameters for the time step; updating the current state of the external memory using the memory state parameters for the time step; reading data from the external memory in accordance with the updated state of the external memory; and combining the data read from the external memory with a system input for the next time step to generate the neural network input for the next time step.

公开(公告)号：US10198832B2

公开(公告)日：2019-02-05

申请号：US16022170

申请日：2018-06-28

Applicant: DeepMind Technologies Limited

Inventor： Jeffrey De Fauw ,  Joseph R. Ledsam ,  Bernardino Romera-Paredes ,  Stanislav Nikolov ,  Nenad Tomasev ,  Samuel Blackwell ,  Harry Askham ,  Xavier Glorot ,  Balaji Lakshminarayanan ,  Trevor Back ,  Mustafa Suleyman ,  Pearse A. Keane ,  Olaf Ronneberger ,  Julien Robert Michel Cornebise

IPC: G06K9/62 ,  G06T11/00 ,  G06T7/00

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating a final classification output for an image of eye tissue. The image is provided as input to each of one or more segmentation neural networks to obtain one or more segmentation maps of the eye tissue in the image. A respective classification input is generated from each of the segmentation maps. For each of the segmentation maps, the classification input for the segmentation map is provided as input to each of one or more classification neural networks to obtain, for each segmentation map, a respective classification output from each classification neural network. A final classification output for the image is generated from the respective classification outputs for each of the segmentation maps.

公开(公告)号：US20140019431A1

公开(公告)日：2014-01-16

申请号：US13804382

申请日：2013-03-14

Applicant: DEEPMIND TECHNOLOGIES LIMITED

Inventor： Mustafa Suleyman ,  Benjamin Kenneth Suleyman

IPC: G06F17/30

CPC classification number: G06F16/532 ,  G06F16/583

Abstract: A system and method for creating a search query and for searching based on said search query. The user starts from one image and systematically refines their search in a series of steps and possibly through one or more iterations of these series of steps until they find the image or images they are looking for.

Abstract translation: 一种用于创建搜索查询并基于所述搜索查询进行搜索的系统和方法。 用户从一个图像开始，并且通过一系列步骤系统地优化搜索，并且可能通过这些一系列步骤的一个或多个迭代，直到找到他们正在寻找的图像或图像。

公开(公告)号：US11507827B2

公开(公告)日：2022-11-22

申请号：US16601455

申请日：2019-10-14

Applicant: DeepMind Technologies Limited

Inventor： Praveen Deepak Srinivasan ,  Rory Fearon ,  Cagdas Alcicek ,  Arun Sarath Nair ,  Samuel Blackwell ,  Vedavyas Panneershelvam ,  Alessandro De Maria ,  Volodymyr Mnih ,  Koray Kavukcuoglu ,  David Silver ,  Mustafa Suleyman

IPC: G06N3/08 ,  G06N3/04

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for distributed training of reinforcement learning systems. One of the methods includes receiving, by a learner, current values of the parameters of the Q network from a parameter server, wherein each learner maintains a respective learner Q network replica and a respective target Q network replica; updating, by the learner, the parameters of the learner Q network replica maintained by the learner using the current values; selecting, by the learner, an experience tuple from a respective replay memory; computing, by the learner, a gradient from the experience tuple using the learner Q network replica maintained by the learner and the target Q network replica maintained by the learner; and providing, by the learner, the computed gradient to the parameter server.

公开(公告)号：US10445641B2

公开(公告)日：2019-10-15

申请号：US15016173

申请日：2016-02-04

Applicant: DeepMind Technologies Limited

Inventor： Praveen Deepak Srinivasan ,  Rory Fearon ,  Cagdas Alcicek ,  Arun Sarath Nair ,  Samuel Blackwell ,  Vedavyas Panneershelvam ,  Alessandro De Maria ,  Volodymyr Mnih ,  Koray Kavukcuoglu ,  David Silver ,  Mustafa Suleyman

IPC: G06N3/08 ,  G06N3/04

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for distributed training of reinforcement learning systems. One of the methods includes receiving, by a learner, current values of the parameters of the Q network from a parameter server, wherein each learner maintains a respective learner Q network replica and a respective target Q network replica; updating, by the learner, the parameters of the learner Q network replica maintained by the learner using the current values; selecting, by the learner, an experience tuple from a respective replay memory; computing, by the learner, a gradient from the experience tuple using the learner Q network replica maintained by the learner and the target Q network replica maintained by the learner; and providing, by the learner, the computed gradient to the parameter server.

公开(公告)号：US20140185959A1

公开(公告)日：2014-07-03

申请号：US14155434

申请日：2014-01-15

Applicant: DeepMind Technologies Limited

Inventor： Benjamin Kenneth Coppin ,  Mustafa Suleyman ,  Arun Nair

IPC: G06F17/30

CPC classification number: G06F17/30262 ,  G06K9/00 ,  G06K9/46 ,  G06K2009/4666

Abstract: A method for processing an image to generate a signature which is characteristic of a pattern within said image. The method comprising receiving an image; overlaying a window at multiple locations on said image to define a plurality of sub-images within said image, with each sub-image each having a plurality of pixels having a luminance level; determining a luminance value for each said sub-image, wherein said luminance value is derived from said luminance levels of said plurality of pixels; and combining said luminance values for each of said sub-images to form said signature. Said combining is such that said signature is independent of the location of each sub-image. A method of creating a database of images using said method of generating signatures is also described.

Abstract translation: 一种用于处理图像以生成作为所述图像内的图案的特征的签名的方法。 该方法包括接收图像; 在所述图像上的多个位置处覆盖窗口以在所述图像内定义多个子图像，每个子图像各自具有具有亮度级的多个像素; 确定每个所述子图像的亮度值，其中所述亮度值从所述多个像素的所述亮度级导出; 以及将每个所述子图像的所述亮度值组合以形成所述签名。 所述组合使得所述签名独立于每个子图像的位置。 还描述了使用所述生成签名的方法来创建图像数据库的方法。