DeepMind Technologies Limited patent applications on October 17th, 2024

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Patent Applications by DeepMind Technologies Limited on October 17th, 2024

DeepMind Technologies Limited: 3 patent applications

DeepMind Technologies Limited has applied for patents in the areas of G06N3/08 (2), G06F9/48 (1), G06N3/04 (1), G06N3/045 (1), G06N3/088 (1) G06F9/4875 (1), G06N3/04 (1), G06N3/08 (1)

With keywords such as: neural, network, candidate, training, computer, task, particular, networks, parameters, and values in patent application abstracts.



Patent Applications by DeepMind Technologies Limited

20240345873. CONTROLLING AGENTS BY SWITCHING BETWEEN CONTROL POLICIES DURING TASK EPISODES_simplified_abstract_(deepmind technologies limited)

Inventor(s): Tom Schaul of London (GB) for deepmind technologies limited, Miruna Pîslar of Paris (FR) for deepmind technologies limited

IPC Code(s): G06F9/48

CPC Code(s): G06F9/4875



Abstract: methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for controlling agents. in particular, an agent can be controlled to perform a task episode by switching the control policy that is used to control the agent at one or more time steps during the task episode.


20240346285. FEEDFORWARD GENERATIVE NEURAL NETWORKS_simplified_abstract_(deepmind technologies limited)

Inventor(s): Aaron Gerard Antonius van den Oord of London (GB) for deepmind technologies limited, Karen Simonyan of London (GB) for deepmind technologies limited, Oriol Vinyals of London (GB) for deepmind technologies limited

IPC Code(s): G06N3/04, G06N3/045, G06N3/08, G06N3/088, G10L13/00

CPC Code(s): G06N3/04



Abstract: a feedforward generative neural network that generates an output example that includes multiple output samples of a particular type in a single neural network inference. optionally, the generation may be conditioned on a context input. for example, the feedforward generative neural network may generate a speech waveform that is a verbalization of an input text segment conditioned on linguistic features of the text segment.


20240346310. POPULATION BASED TRAINING OF NEURAL NETWORKS_simplified_abstract_(deepmind technologies limited)

Inventor(s): Maxwell Elliot Jaderberg of London (GB) for deepmind technologies limited, Wojciech Czarnecki of London (GB) for deepmind technologies limited, Timothy Frederick Goldie Green of London (GB) for deepmind technologies limited, Valentin Clement Dalibard of London (GB) for deepmind technologies limited

IPC Code(s): G06N3/08, G06N3/048

CPC Code(s): G06N3/08



Abstract: methods, systems, and apparatus, including computer programs encoded on computer storage media, for training a neural network. a method includes: training a neural network having a plurality of network parameters to perform a particular neural network task and to determine trained values of the network parameters using an iterative training process having a plurality of hyperparameters, the method comprising: maintaining a plurality of candidate neural networks and, for each of the candidate neural networks, data specifying: (i) respective values of the network parameters for the candidate neural network, (ii) respective values of the hyperparameters for the candidate neural network, and (iii) a quality measure that measures a performance of the candidate neural network on the particular neural network task; and for each of the plurality of candidate neural networks, repeatedly performing additional training operations.


DeepMind Technologies Limited patent applications on October 17th, 2024