DeepMind Technologies Limited patent applications on August 22nd, 2024
Patent Applications by DeepMind Technologies Limited on August 22nd, 2024
DeepMind Technologies Limited: 4 patent applications
DeepMind Technologies Limited has applied for patents in the areas of G06N3/08 (3), G06N3/04 (2), G06N20/00 (2), G06F16/953 (1), G06F17/18 (1) G06N3/08 (2), G06N20/00 (1), G06V10/82 (1)
With keywords such as: network, current, representing, data, generating, sequence, methods, image, computer, and question in patent application abstracts.
Patent Applications by DeepMind Technologies Limited
Inventor(s): Scott Ellison Reed of Atlanta GA (US) for deepmind technologies limited, Konrad Zolna of London (GB) for deepmind technologies limited, Emilio Parisotto of London (GB) for deepmind technologies limited, Tom Erez of London (GB) for deepmind technologies limited, Alexander Novikov of London (GB) for deepmind technologies limited, Jack William Rae of London (GB) for deepmind technologies limited, Misha Man Ray Denil of London (GB) for deepmind technologies limited, Joao Ferdinando Gomes de Freitas of London (GB) for deepmind technologies limited, Oriol Vinyals of London (GB) for deepmind technologies limited, Sergio Gomez of London (GB) for deepmind technologies limited, Ashley Deloris Edwards of London (GB) for deepmind technologies limited, Jacob Bruce of London (GB) for deepmind technologies limited, Gabriel Barth-Maron of London (GB) for deepmind technologies limited
IPC Code(s): G06N3/08, G06N3/04
CPC Code(s): G06N3/08
Abstract: methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for selecting actions to be performed by an agent to interact with an environment using an action selection neural network. in one aspect, a method comprises, at each time step in a sequence of time steps: generating a current representation of a state of a task being performed by the agent in the environment as of the current time step as a sequence of data elements; autoregressively generating a sequence of data elements representing a current action to be performed by the agent at the current time step; and after autoregressively generating the sequence of data elements representing the current action, causing the agent to perform the current action at the current time step.
Inventor(s): Angeliki Lazaridou of London (GB) for deepmind technologies limited, Elena Gribovskaya of London (GB) for deepmind technologies limited, Nikolai Grigorev of London (GB) for deepmind technologies limited, Wojciech Jan Stokowiec of London (GB) for deepmind technologies limited
IPC Code(s): G06N3/08, G06F16/953, G06N20/00
CPC Code(s): G06N3/08
Abstract: methods, systems, and apparatus, including computer programs encoded on computer storage media, for augmenting machine learning language models using search engine results. one of the methods includes obtaining question data representing a question; generating, from the question data, a search engine query for a search engine; obtaining a plurality of documents identified by the search engine in response to processing the search engine query; generating, from the plurality of documents, a plurality of conditioning inputs each representing at least a portion of one or more of the obtained documents; for each of a plurality of the generated conditioning inputs, processing a network input generated from (i) the question data and (ii) the conditioning input using a neural network to generate a network output representing a candidate answer to the question; and generating, from the network outputs representing respective candidate answers, answer data representing a final answer to the question.
Inventor(s): Yutian Chen of Cambridge (GB) for deepmind technologies limited, Joao Ferdinando Gomes de Freitas of London (GB) for deepmind technologies limited
IPC Code(s): G06N20/00, G06F17/18, G06N3/04, G06N3/08
CPC Code(s): G06N20/00
Abstract: methods and systems for determining an optimized setting for one or more process parameters of a machine learning training process. one of the methods includes processing a current network input using a recurrent neural network in accordance with first values of the network parameters to obtain a current network output, obtaining a measure of the performance of the machine learning training process with an updated setting defined by the current network output, and generating a new network input that comprises (i) the updated setting defined by the current network output and (ii) the measure of the performance of the training process with the updated setting defined by the current network output.
Inventor(s): Maria Rafailia Tsimpoukelli of London (GB) for deepmind technologies limited, Jacob Lee Menick of London (GB) for deepmind technologies limited, Serkan Cabi of London (GB) for deepmind technologies limited, Felix George Hill of London (GB) for deepmind technologies limited, Seyed Mohammadali Eslami of London (GB) for deepmind technologies limited, Oriol Vinyals of London (GB) for deepmind technologies limited
IPC Code(s): G06V10/82, G06F40/284, G06V20/70
CPC Code(s): G06V10/82
Abstract: methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing multi-modal inputs using language models. in particular, the inputs include an image, and the image is encoded by an image encoder neural network to generate a sequence of image embeddings representing the image. the sequence of image embeddings is provided as at least part of an input sequence to that is processed by a language model neural network.
DeepMind Technologies Limited patent applications on August 22nd, 2024
