DeepMind Technologies Limited patent applications on March 27th, 2025
Patent Applications by DeepMind Technologies Limited on March 27th, 2025
DeepMind Technologies Limited: 2 patent applications
DeepMind Technologies Limited has applied for patents in the areas of G06F30/27 (1), G06F30/15 (1), G06N3/042 (1), G06N3/084 (1), G06N3/045 (1) G06F30/27 (1), G06N3/045 (1)
With keywords such as: embeddings, network, design, neural, parameters, current, data, output, latent, and computer in patent application abstracts.
Patent Applications by DeepMind Technologies Limited
Inventor(s): Kelsey Rebecca Allen of London GB for deepmind technologies limited, Tatiana Lopez Guevara of Edinburgh GB for deepmind technologies limited, Kimberly Stachenfeld of London GB for deepmind technologies limited, Jessica Blake Chandler Hamrick of London GB for deepmind technologies limited, Alvaro Sanchez of London GB for deepmind technologies limited, Peter William Battaglia of London GB for deepmind technologies limited, Tobias Pfaff of London GB for deepmind technologies limited
IPC Code(s): G06F30/27, G06F30/15, G06N3/042, G06N3/084
CPC Code(s): G06F30/27
Abstract: methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for optimizing a set of design parameters. in one aspect, a method includes: obtaining a respective initial value for each design parameter, and iteratively optimizing current values of the design parameters over a sequence of optimization iterations. the method further includes, each optimization iteration: generating a representation of an initial state of an environment using the current values of the design parameters, processing an input including the representation of the initial state of the environment using a simulation neural network to generate an output that defines a simulation of the state of the environment over a sequence of one or more time steps, determining a reward, determining gradients of the reward with respect to the current values of the design parameters, and updating the current values of the design parameters using the gradients.
Inventor(s): Joao Carreira of St. Albans GB for deepmind technologies limited, Andrew Coulter Jaegle of London GB for deepmind technologies limited, Skanda Kumar Koppula of London GB for deepmind technologies limited, Daniel Zoran of London GB for deepmind technologies limited, Adrià Recasens Continente of London GB for deepmind technologies limited, Catalin-Dumitru Ionescu of London GB for deepmind technologies limited, Olivier Jean Hénaff of London GB for deepmind technologies limited, Evan Gerard Shelhamer of London GB for deepmind technologies limited, Relja Arandjelovic of Munich DE for deepmind technologies limited, Matthew Botvinick of Philadelphia PA US for deepmind technologies limited, Oriol Vinyals of London GB for deepmind technologies limited, Karen Simonyan of London GB for deepmind technologies limited, Andrew Zisserman of London GB for deepmind technologies limited
IPC Code(s): G06N3/045
CPC Code(s): G06N3/045
Abstract: methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for using a neural network to generate a network output that characterizes an entity. in one aspect, a method includes: obtaining a representation of the entity as a set of data element embeddings, obtaining a set of latent embeddings, and processing: (i) the set of data element embeddings, and (ii) the set of latent embeddings, using the neural network to generate the network output. the neural network includes a sequence of neural network blocks including: (i) one or more local cross-attention blocks, and (ii) an output block. each local cross-attention block partitions the set of latent embeddings and the set of data element embeddings into proper subsets, and updates each proper subset of the set of latent embeddings using attention over only the corresponding proper subset of the set of data element embeddings.
DeepMind Technologies Limited patent applications on March 27th, 2025
