公开(公告)号：US20240120022A1

公开(公告)日：2024-04-11

申请号：US18275933

申请日：2022-01-27

Applicant: DeepMind Technologies Limited

Inventor： Andrew W. Senior ,  Simon Kohl ,  Jason Yim ,  Russell James Bates ,  Catalin-Dumitru Ionescu ,  Charlie Thomas Curtis Nash ,  Ali Razavi-Nematollahi ,  Alexander Pritzel ,  John Jumper

IPC: G16B15/00 ,  G16B30/20 ,  G16B40/20

CPC classification number: G16B15/00 ,  G16B30/20 ,  G16B40/20

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for performing protein design. In one aspect, a method comprises: processing an input characterizing a target protein structure of a target protein using an embedding neural network having a plurality of embedding neural network parameters to generate an embedding of the target protein structure of the target protein; determining a predicted amino acid sequence of the target protein based on the embedding of the target protein structure, comprising: conditioning a generative neural network having a plurality of generative neural network parameters on the embedding of the target protein structure; and generating, by the generative neural network conditioned on the embedding of the target protein structure, a representation of the predicted amino acid sequence of the target protein.

公开(公告)号：US20230076437A1

公开(公告)日：2023-03-09

申请号：US17798108

申请日：2021-02-08

Applicant: DeepMind Technologies Limited

Inventor： Charlie Thomas Curtis Nash ,  Iaroslav Ganin ,  Seyed Mohammadali Eslami ,  Peter William Battaglia

IPC: G06N3/02 ,  G06T17/20

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating data specifying a three-dimensional mesh of an object using an auto-regressive neural network.

公开(公告)号：US20250131236A1

公开(公告)日：2025-04-24

申请号：US18901976

申请日：2024-09-30

Applicant: DeepMind Technologies Limited

Inventor： Charlie Thomas Curtis Nash ,  Iaroslav Ganin ,  Seyed Mohammadali Eslami ,  Peter William Battaglia

IPC: G06N3/02 ,  G06N3/047 ,  G06T17/20

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating data specifying a three-dimensional mesh of an object using an auto-regressive neural network.

公开(公告)号：US20230244907A1

公开(公告)日：2023-08-03

申请号：US18102985

申请日：2023-01-30

Applicant: DeepMind Technologies Limited

Inventor： Curtis Glenn-Macway Hawthorne ,  Andrew Coulter Jaegle ,  Catalina-Codruta Cangea ,  Sebastian Borgeaud Dit Avocat ,  Charlie Thomas Curtis Nash ,  Mateusz Malinowski ,  Sander Etienne Lea Dieleman ,  Oriol Vinyals ,  Matthew Botvinick ,  Ian Stuart Simon ,  Hannah Rachel Sheahan ,  Neil Zeghidour ,  Jean-Baptiste Alayrac ,  Joao Carreira ,  Jesse Engel

IPC: G06N3/044

CPC classification number: G06N3/044

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating a sequence of data elements that includes a respective data element at each position in a sequence of positions. In one aspect, a method includes: for each position after a first position in the sequence of positions: obtaining a current sequence of data element embeddings that includes a respective data element embedding of each data element at a position that precedes the current position, obtaining a sequence of latent embeddings, and processing: (i) the current sequence of data element embeddings, and (ii) the sequence of latent embeddings, using a neural network to generate the data element at the current position. The neural network includes a sequence of neural network blocks including: (i) a cross-attention block, (ii) one or more self-attention blocks, and (iii) an output block.

公开(公告)号：US12131243B2

公开(公告)日：2024-10-29

申请号：US17798108

申请日：2021-02-08

Applicant: DeepMind Technologies Limited

Inventor： Charlie Thomas Curtis Nash ,  Iaroslav Ganin ,  Seyed Mohammadali Eslami ,  Peter William Battaglia

IPC: G06N3/02 ,  G06T17/20 ,  G06N3/047

CPC classification number: G06N3/02 ,  G06T17/205 ,  G06N3/047

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating data specifying a three-dimensional mesh of an object using an auto-regressive neural network.

公开(公告)号：US20240104785A1

公开(公告)日：2024-03-28

申请号：US18275048

申请日：2022-02-07

Applicant: DeepMind Technologies Limited

Inventor： Charlie Thomas Curtis Nash ,  Peter William Battaglia

IPC: G06T9/00 ,  G06T7/11 ,  G06T7/73

CPC classification number: G06T9/002 ,  G06T7/11 ,  G06T7/73 ,  G06T2207/10024 ,  G06T2207/20021 ,  G06T2207/20052 ,  G06T2207/20081 ,  G06T2207/20084

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating compressed representations of synthetic images. One of the methods is a method of generating a synthetic image using a generative neural network, and includes: generating, using the generative neural network, a plurality of coefficients that represent the synthetic image after the synthetic image has been encoded using a lossy compression algorithm; and decoding the synthetic image by applying the lossy compression algorithm to the plurality of coefficients.