Patent Assignment
Reel/Frame 071550/0092
Assignment of Assignor's Interest
Recorded: 2025-06-13
Pages: 65
Assignor
DEEPMIND TECHNOLOGIES LIMITED
Executed: 2025-06-12
Assignee
GDM HOLDING LLC
1600, AMPHITHEATRE PARKWAY, MOUNTAIN VIEW, CALIFORNIA, 94043
Covered Properties
(434)
Method and Apparatus for Image Searching
Application:
13/588,097 →
Publication:
US US20140019484A1
Method and Apparatus for Image Searching
Application:
13/648,105 →
Method and Apparatus for Conducting a Search
Application:
13/804,382 →
Publication:
US US20140019431A1
Computer Systems for Artificial Neural Networks
Application:
13/903,772 →
System and Method for Learning Word Embeddings Using Neural Language Models
Application:
14/075,166 →
Publication:
US US20150095017A1
Computer Systems for Artificial Neural Networks
Application:
14/971,617 →
Training a Policy Neural Network and a Value Neural Network
Application:
15/280,711 →
Publication:
US US20180032863A1
Reinforcement and Imitation Learning for a Task
Application:
16/174,112 →
Publication:
US US20190126472A1
Programmable Reinforcement Learning Systems
Application:
16/615,061 →
Publication:
US US20200167633A1
Data Efficient Imitation of Diverse Behaviors
Application:
16/688,934 →
Publication:
US US20200090042A1
Data Compression Using Jointly Trained Encoder, Decoder, and Prior Neural Networks
Application:
16/767,010 →
Publication:
US US20210004677A1
Optimizing Data Center Controls Using Neural Networks
Application:
16/863,357 →
Publication:
US US20200272889A1
Non-Stationary Delayed Bandits with Intermediate Signals
Application:
17/103,843 →
Publication:
US US20210158196A1
Machine Learning for Determining Protein Structures
Application:
17/265,708 →
Publication:
US US20210313008A1
Controlling Operation of Actor and Learner Computing Units Based on a Usage Rate of a Replay Memory
Training Neural Networks Using Weight Norm Regularizations
Application:
18/424,672 →
Publication:
US US20250245498A1
Direct Posterior Preference Fine-Tuning
Application:
18/433,890 →
Publication:
US US20250252292A1
Reinforcement Learning Through Preference Feedback
Application:
18/441,920 →
Publication:
US US20250259073A1
Reward-Model Based Reinforcement Learning for Performing Reasoning Tasks
Application:
18/475,743 →
Publication:
US US20240104391A1
Distillation of Multi-Sample Preference sampling Processes for Sequence Processing Models
Application:
18/635,782 →
Publication:
US US20250322298A1
Training a Population of Adversarial Neural Networks to Improve a Base Neural Network
Application:
18/636,971 →
Publication:
US US20250322254A1
Generating Music from Images Using Generative Neural Networks
Application:
18/662,913 →
Publication:
US US20250349276A1
In-Place Sorting
Generative AI Output Caching with Input Guidance
Application:
18/766,994 →
Publication:
US US20260017495A1
Hierarchical Embedding Tree for Efficiently Caching Large Contexts
Application:
18/790,725 →
Publication:
US US20260037859A1
Compressed Sequence-to-Sequence Modelling
Application:
18/793,163 →
Publication:
US US20260036956A1
Variable-Bitwidth Matrix Multiplication
Application:
18/793,374 →
Publication:
US US20260037598A1
Using Visual Language Models to Determine Locations of Image Elements Within Graphical Images
Application:
18/794,786 →
Publication:
US US20260038291A1
Reward or Preference Optimization of Sequence Processing Models with Asymmetric Matching Losses
Application:
18/800,677 →
Publication:
US US20260044776A1
Generating Integrated Circuit Placements Using Neural Networks Conditioned on Target Reward Values
Application:
18/812,871 →
Publication:
US US20260057164A1
Incorporating Alignment into Sequence Generation Neural Networks
Application:
18/824,046 →
Publication:
US US20260065032A1
Generating Output Sequences Using a Token Processing Neural Network and External Tools
Application:
18/824,081 →
Publication:
US US20260065033A1
Curvilinear Optimization of Metal Interconnects Using Spline Curves
Application:
18/824,350 →
Publication:
US US20260064931A1
Joint Decoding of Response and Predicted Query-Response Pairs Using a Token Generation Neural Network
Application:
18/828,313 →
Publication:
US US20260073194A1
Generating Training Data Using an Audio Generation Model
Application:
18/885,422 →
Publication:
US US20260080862A1
Fast Attention Mechanisms for Physical Systems
Application:
18/897,283 →
Publication:
US US20260086511A1
Training Machine-Learned Models with Temporal Conditioning for Time-Aware Inference
Application:
18/897,547 →
Publication:
US US20260087404A1
Confidence Calibration for Machine Learning Models
Application:
18/901,696 →
Publication:
US US20250111284A1
Hierarchical Interfaces for Screen Reader Users
Application:
18/913,924 →
Publication:
US US20260010524A1
Artificial Intelligence-Based Image Search Refinement
Patent:
12,524,459 →
Application:
18/925,948 →
Multiagent Output Prediction for Offline Agent Modeling
Application:
18/926,828 →
Publication:
US US20260119998A1
Efficiently Sharing Calls to Generative Model(S) Between Multiple Agents
Application:
18/927,137 →
Publication:
US US20260119284A1
Determining Training Data Sizes for Training Smaller Neural Networks Using Shrinking Estimates
Application:
18/932,554 →
Publication:
US US20250139438A1
Dynamically Switching Parameter-Efficient Fine-Tuning Profiles During Machine-Learned Model Execution
Application:
18/933,714 →
Publication:
US US20260119978A1
Training Image Representation Neural Networks Using Cross-Modal Interfaces
Application:
18/935,365 →
Publication:
US US20250371850A1
Scheduling Jobs Using Scored Computational Resources and Efficient Scheduling Algorithms
Application:
18/936,711 →
Publication:
US US20250147810A1
Artificial Intelligence Agent Systems for User-Specific Tasks
Application:
18/940,067 →
Publication:
US US20260127033A1
Systems and Methods for Structure-Conforming Generation of Content
Application:
18/941,524 →
Publication:
US US20260134331A1
Receiver-Side Gating of Agent Systems
Application:
18/941,715 →
Publication:
US US20260133856A1
Transistor-Level Routing
Application:
18/947,911 →
Publication:
US US20260134188A1
High-Performance and Low-Complexity Neural Compression from a Single Image, Video or Audio Data
Computer Code Generation from Task Descriptions Using Neural Networks
Adaptive Input Sampling for Machine Learning
Application:
18/977,092 →
Publication:
US US20260162413A1
Dispatcher-Executor Systems for Multi-Task Learning
Application:
18/981,230 →
Publication:
US US20250196347A1
Optimization of Photomask Patterns
Application:
18/984,377 →
Publication:
US US20260169371A1
Optimizing Algorithms for Target Processors Using Representation Neural Networks
Application:
18/997,368 →
Performing Machine Learning Tasks by Processing Images as Videos
Application:
19/009,187 →
Publication:
US US20250218179A1
Generative Interactive Environments
Application:
19/041,971 →
Publication:
US US20250245873A1
Generating Images Using Neural Networks
Application:
19/059,132 →
Publication:
US US20250310554A1
Training Neural Networks Using Weight Norm Regularizations
Application:
19/070,417 →
Publication:
US US20250245502A1
Training Machine Learning Models by Determining Update Rules Using Neural Networks
Application:
19/076,607 →
Publication:
US US20250335771A1
Reinforcement Learning Using Distributed Prioritized Replay
Application:
19/081,413 →
Publication:
US US20250217646A1
High Fidelity Speech Synthesis with Adversarial Networks
Application:
19/083,323 →
Publication:
US US20250245507A1
Generative Adversarial Networks with Temporal and Spatial Discriminators for Efficient Video Generation
Application:
19/089,987 →
Publication:
US US20250225612A1
Generative Adversarial Networks with Temporal and Spatial Discriminators for Efficient Video Generation
Application:
19/091,319 →
Publication:
US US20250225613A1
Generating Audio Data Using Unaligned Text Inputs with an Adversarial Network
Application:
19/091,679 →
Publication:
US US20250308510A1
Determining Failure Cases in Trained Neural Networks Using Generative Neural Networks
Application:
19/104,051 →
Publication:
US US20260057685A1
Action Abstraction Controller for Fully Actuated Robotic Manipulators
Application:
19/109,361 →
Publication:
US US20260077487A1
Controlling Agents Using Ambiguity-Sensitive Neural Networks and Risk-Sensitive Neural Networks
Application:
19/109,963 →
Publication:
US US20260087311A1
Controlling Industrial Facilities Using Hierarchical Reinforcement Learning
Application:
19/111,967 →
Publication:
US US20260099128A1
Training Policy Neural Networks in Simulation Using Scene Synthesis Machine Learning Models
Application:
19/111,985 →
Publication:
US US20260097491A1
Data-Efficient Reinforcement Learning with Adaptive Return Computation Schemes
Application:
19/112,006 →
Score Modelling for Simulation-Based Inference
Application:
19/115,358 →
Publication:
US US20260105217A1
Pathogenicity Prediction for Protein Mutations Using Amino Acid Score Distributions
Application:
19/118,247 →
Selective Acquisition for Multi-Modal Temporal Data
Application:
19/122,063 →
Publication:
US US20260148083A1
Learning a Diverse Collection of Action Selection Policies by Competitive Exclusion
Application:
19/124,359 →
Publication:
US US20260178879A1
Generating Positional Encodings of Directed Graphs
Application:
19/126,772 →
Publication:
US US20260178663A1
Merging Adversarially-Robust Neural Networks
Application:
19/129,158 →
Training Multi-Modal Interactive Agents Using a Reward Model
Application:
19/131,804 →
Publication:
US US20260187471A1
Score Interpolation Diffusion Models
Application:
19/132,537 →
Publication:
US US20260195595A1
Transformer Diffusion for Robotic Task Learning
Application:
19/173,425 →
Publication:
US US20250312914A1
Rolling Diffusion Models for Sequence Generation
Application:
19/175,918 →
Publication:
US US20250322499A1
Augmenting Neural Networks with External Memory
Application:
19/187,433 →
Publication:
US US20250315676A1
Glove Corresponding to Multi-Fingered Robotic Hand
Application:
19/189,827 →
Publication:
US US20260151911A1
Denoising Neural Networks with Shared Core Sub-Networks
Wireless Stop for Electromechanical Devices
Application:
19/192,633 →
Publication:
US US20250348042A1
Population Based Training of Neural Networks
Application:
19/193,756 →
Publication:
US US20250315672A1
Data-Driven Robot Control
Application:
19/200,502 →
Publication:
US US20250387901A1
Semi-Supervised Learning of Robot Control Policies
Application:
19/206,894 →
Publication:
US US20250353169A1
Using Automatically Uncovered Failure Cases to Improve the Performance of Neural Networks
Application:
19/208,505 →
Publication:
US US20250273001A1
Augmenting Machine Learning Language Models Using Search Engine Results
Application:
19/214,944 →
Publication:
US US20250322236A1
Masked Diffusion Models with State-Dependent Masking Schedules
Application:
19/216,465 →
Publication:
US US20250363303A1
Training Image Generation Neural Networks to Generate Semantically Similar Images
Application:
19/216,493 →
Publication:
US US20250363783A1
Single Trajectory Policy Optimization for Generative Machine Learning Models
Application:
19/216,677 →
Publication:
US US20260087409A1
Optimization of Logic Circuits by Transduction
Application:
19/223,699 →
Publication:
US US20250378250A1
Learning Word Embeddings Efficiently with Noise-Contrastive Estimation
Application:
61/883,620 →
Identifying Objects in Images
Application:
62/009,097 →
Evaluating Reinforcement Learning Policies
Application:
62/034,369 →
Recommending Content Using Neural Networks
Application:
62/034,657 →
Augmenting Neural Networks with External Memory
Application:
62/064,965 →
Augmenting Neural Networks to Generate Additional Outputs
Application:
62/096,716 →
Distributed Training of Reinforcement Learning Systems
Application:
62/113,318 →
Recurrent Neural Networks for Data Item Generation
Application:
62/113,338 →
Selecting Reinforcement Learning Actions Using Goals and Observations
Application:
62/143,677 →
Reading Comprehension Neural Networks
Application:
62/171,935 →
Whitened Neural Network Layers
Application:
62/172,009 →
Dual Long Short Term Memory Blocks
Application:
62/172,011 →
Augmented Neural Networks
Application:
62/172,023 →
Training Reinforcement Learning Systems
Application:
62/196,854 →
Training Reinforcement Learning Systems
Application:
62/217,547 →
Training Neural Networks Using a Prioritized Experience Memory
Application:
62/254,610 →
Training Neural Networks Using Normalized Targets
Application:
62/254,618 →
Dueling Deep Neural Networks
Application:
62/254,684 →
Asynchronous Deep Reinforcement Learning
Application:
62/254,701 →
Selecting Action Slates
Application:
62/261,781 →
Augmenting Neural Networks with External Memory
Application:
62/265,912 →
Selecting Actions from Large Discrete Action Sets
Application:
62/268,406 →
Neural programming
Application:
62/285,950 →
Generating Images Using Neural Networks
Application:
62/286,915 →
Associative Long Short-Term Memory Neural Network Layers
Application:
62/291,467 →
Augmenting Neural Networks with Hierarchical External Memory
Application:
62/291,942 →
Augmenting Neural Networks with External Memory
Application:
62/292,158 →
Compressing Images Using Neural Networks
Application:
62/292,167 →
Augmenting Neural Networks with External Memory
Application:
62/292,169 →
Generative Neural Networks
Application:
62/292,186 →
Training Machine Learning Models
Application:
62/297,094 →
Augmenting Neural Networks with External Memory Using Reinforcement Learning
Application:
62/331,904 →
Interaction Networks
Application:
62/339,703 →
Progressive Neural Networks
Application:
62/339,719 →
Training Variational Autoencoders to Generate Disentangled Latent Factors
Application:
62/339,753 →
Model-Free Control for Reinforcement Learning Agents
Application:
62/339,763 →
Training Neural Networks Using Synthetic Gradients
Application:
62/339,764 →
Reinforcement Learning Using Pseudo-Counts
Application:
62/339,778 →
Classifying Input Examples Using a Comparison Set
Application:
62/339,782 →
Memory-Efficient Backpropagation Through Time
Application:
62/339,784 →
Training Machine Learning Models
Application:
62/339,785 →
Selecting Reinforcement Learning Actions Using a Low-Level Controller
Application:
62/339,789 →
Training Machine Learning Models on Multiple Machine Learning Tasks
Application:
62/363,652 →
Generating Audio Using Neural Networks
Application:
62/384,115 →
Processing Sequences Using Convolutional Neural Networks
Application:
62/384,123 →
Video Pixel Networks
Application:
62/402,914 →
Neural Networks for Selecting Actions to Be Performed by a Robotic Agent
Application:
62/406,363 →
Processing Text Sequences Using Neural Networks
Application:
62/413,366 →
Multi-Task Neural Networks
Application:
62/452,276 →
Generating Output Examples Using Bit Blocks
Application:
62/509,051 →
Feedforward Generative Neural Networks
Application:
62/509,053 →
Training Neural Networks from Demonstrations
Application:
62/578,367 →
Reinforcement and Imitation Learning for a Task
Application:
62/578,368 →
Multi-Task Reinforcement Learning
Application:
62/626,659 →
Neural Network Systems with Memory
Application:
62/628,748 →
Neural Networks with Episodic Recall
Application:
62/628,881 →
Contiguous Sparsity Pattern Neural Networks
Application:
62/628,882 →
Generating Output Examples Using Bit Blocks
Application:
62/628,910 →
Learning from Delayed Outcomes
Application:
62/641,206 →
Selecting Actions Using Grid Cell Neural Networks
Application:
62/669,355 →
Reinforcement Learning Using Agent Curricula
Application:
62/673,747 →
Relational Reasoning for Deep Reinforcement Learning
Application:
62/673,806 →
Neural Networks with Relational Memory
Application:
62/673,818 →
Unsupervised Reward Generation
Application:
62/673,828 →
Graph Neural Network System
Application:
62/673,841 →
Training Return Functions for Reinforcement Learning Systems
Application:
62/673,844 →
Temporally Hierarchical Reinforcement Learning
Application:
62/677,632 →
Image Generation Using Subscaling and Depth Up-Scaling
Application:
62/737,814 →
Training a Machine Learning System Using a Linear-Feedback-Stabilized Policy
Application:
62/737,816 →
Stacked Convolutional Long Short-Term Memory for Reinforcement Learning
Application:
62/737,821 →
Scalable and Compressive Neural Network Data Storage System
Application:
62/737,840 →
Committed Information Rate Variational Autoencoders
Application:
62/737,845 →
Grounded Entity Reinforcement Learning Neural Networks
Application:
62/737,850 →
Robot control policy determination through constrained optimization for smooth continuous control
Application:
62/737,855 →
Training Action Selection Policy Neural Networks Using Imitation Learning in a Latent Space
Application:
62/737,878 →
Controlling Agents Over Long Time Scales
Application:
62/745,202 →
Machine Learning for Predicting Protein Structures
Application:
62/774,071 →
Speech Coding Using Discrete Latent Representations
Application:
62/793,806 →
Action Selection Using Interaction History Graphs
Application:
62/796,025 →
Supervised Training of Neural Networks Using Evolutionary Strategies
Application:
62/796,066 →
Multi-Agent Reinforcement Learning with Matchmaking Policies
Application:
62/796,567 →
Scheduling Computation Graphs Using Neural Networks
Application:
62/817,971 →
Compressed Sensing Using Neural Networks
Application:
62/817,979 →
Speech Synthesis Utilizing Audio Waveform Difference Signal(S)
Application:
62/848,314 →
Exploration Rewards Based on Embedded Controllability Representations
Application:
62/852,137 →
Sampling Latent Variables to Generate Multiple Segmentations of an Image
Application:
62/852,178 →
Large Scale Generative Neural Network Model with Inference for Representation Learning Using Adversial Training
Application:
62/852,250 →
Training More Secure Neural Networks by Using Local Linearity Regularization
Application:
62/852,298 →
Multi-Agent Reinforcement Learning with Matchmaking Policies
Application:
62/894,633 →
Antisymmetric Neural Networks
Application:
62/895,491 →
Data-Driven Robot Control
Application:
62/900,407 →
High Fidelity Speech Synthesis with Adversarial Networks
Application:
62/905,948 →
Reinforcement Learning System with Meta-Learned Intrinsic Reward System
Application:
62/905,964 →
Jointly Learning Exploratory and Non-Exploratory Action Selection Policies
Application:
62/905,995 →
Modulating Agent Behavior to Optimize Learning Progress
Application:
62/906,030 →
Augmenting Attentioned-Based Neural Networks to Selectively Attend to Past Inputs
Application:
62/906,078 →
Variable Thresholds in Constrained Optimization
Application:
62/937,226 →
Non-Stationary Delayed Bandits with Intermediate Observations
Application:
62/940,179 →
Protein Structure Prediction from Amino Acid Sequences Using Self-Attention Neural Networks
Application:
62/942,688 →
Reduced Computation Real Time Recurrent Learning
Application:
62/971,566 →
Low Latency Multi-Constraint Ranking of Content Items
Application:
62/976,302 →
Predicting Properties of Materials from Physical Material Structures
Application:
63/015,328 →
Robustness to Adversarial Behavior for Text Classification Models
Application:
63/015,358 →
Stable and Efficient Training of Adversarial Models by an Iterated Update Operation of Second Order or Higher
Application:
63/034,356 →
Generating Prediction Outputs Using Dynamic Graphs
Application:
63/035,449 →
Optimization Using Curvature Estimates Based on Recent Gradients
Application:
63/035,464 →
Cross-Transformer Neural Network System for Few-Shot Similarity Determination and Classification
Application:
63/035,469 →
Generating Audio Data Using Unaligned Text Inputs
Application:
63/035,519 →
Learning Embeddings Subject to an Invariance Constraint
Application:
63/035,524 →
Self-Supervised Image Representation Learning Using Bootstrapped Latent Representations
Application:
63/035,583 →
Self-Supervised Image Representation Learning Using Bootstrapped Latent Representations
Application:
63/039,343 →
Cross-Transformer Neural Network System for Few-Shot Similarity Determination and Classification
Application:
63/039,748 →
Pairwise Ranking on Neural Networks
Application:
63/045,002 →
Off-Line Learning for Robot Control
Application:
63/057,850 →
Boolean Satisfiability Problem Solving Using Restricted Boltzmann Machines
Application:
63/061,046 →
Training A Policy Neural Network For Controlling An Agent Using Best Response Policy Iteration
Application:
63/149,032 →
Selecting Points in Continuous Spaces Using Neural Networks
Application:
63/187,730 →
Persistent Message Passing for Graph Neural Networks
Application:
63/194,939 →
Predicting Spectral Representations for Training Speech Synthesis Neural Networks
Application:
63/195,635 →
Determining a Distribution of Atom Coordinates of a Macromolecule From Images Using Auto-Encoders
Application:
63/215,357 →
Persistent Message Passing for Graph Neural Networks
Application:
63/230,013 →
Neural Networks with Transformed Activation Function Layers
Application:
63/251,566 →
Compositional Generalization for Reinforcement Learning
Application:
63/252,564 →
Rating Tasks and Policies Using Conditional Probability Distributions Derived from Equilibrium-Based Solutions of Games
Application:
63/253,821 →
Distributed Top K Computation
Application:
63/280,738 →
Large Scale Retrieval for Sequence Generation
Application:
63/286,892 →
Training Conditional Computation Neural Networks Using Reinforcement Learning
Application:
63/286,923 →
Controlling Interactive Agents Using Multi-Modal Inputs
Application:
63/286,999 →
Improving Performance of a Neural Network Using Automatically Uncovered Failure Cases
Application:
63/303,958 →
Generating Sequences of Data Elements Using Cross-Attention Operations
Application:
63/304,373 →
Learned Computer Control Using Pointing Device and Keyboard Actions
Application:
63/304,549 →
Computer Code Generation from Task Descriptions Using Neural Networks
Application:
63/306,043 →
Allocating Computing Resources Between Model Size and Training Data During Training of a Machine Learning Model
Application:
63/324,997 →
Privacy-Sensitive Neural Network Training Using Data Augmentation
Application:
63/335,909 →
Language Model for Processing a Multi-Mode Query Input
Application:
63/336,192 →
Autoregressively Generating Sequences of Data Elements Defining Actions to Be Performed by an Agent
Application:
63/341,343 →
Training a Speaker Neural Network Using One or More Listener Neural Networks
Application:
63/343,960 →
Reward-Model Based Reinforcement Learning for Performing Reasoning Tasks
Application:
63/377,532 →
Controlling Agents Using Auxiliary Prediction Neural Networks That Generate State Value Estimates
Application:
63/395,182 →
Finding a Stationary Point of a Loss Function by an Iterative Algorithm Using a Variable Learning Rate Value
Application:
63/396,801 →
Selection-Inference Neural Network Systems
Application:
63/402,382 →
Guided Dialogue Using Language Generation Neural Networks and Search
Application:
63/408,430 →
Controlling Embodied Agents Using Reporter Neural Networks
Application:
63/410,156 →
Meta-Learned Evolutionary Strategies Optimizer
Application:
63/410,939 →
Evaluating Representations with Read-Out Model Switching
Application:
63/411,005 →
Fast Exploration and Learning of Latent Graph Models
Application:
63/411,031 →
Discrete Token Processing Using Diffusion Models
Application:
63/411,045 →
Agent Control Through Reinforcement Learning Algorithm Distillation
Application:
63/411,089 →
Generating a Model of a Target Environment Based on Interactions of an Agent with Source Environments
Application:
63/415,904 →
Leveraging Offline Training Data and Agent Competency Data to Improve Online Learning
Application:
63/418,267 →
Learning a Diverse Collection of Action Selection Policies by Competitive Exclusion
Application:
63/420,353 →
Training Neural Networks Through Reinforcement Learning Using Standardized Absolute Deviations
Application:
63/425,979 →
Hierarchical Text Generation Using Language Model Neural Networks
Application:
63/429,532 →
Planning Using Jumpy Trajectory Decoder Neural Networks
Application:
63/436,467 →
Beam Search Decoding with Forward-Looking Scores
Application:
63/436,468 →
Fast Exploration and Learning of Latent Graph Models
Application:
63/436,845 →
Training Reinforcement Learning Agents to Perform Multiple Tasks Across Diverse Domains
Application:
63/437,931 →
Reinforcement Learning Using Quantile Credit Assignment
Application:
63/441,366 →
Methods and Systems for Constrained Reinforcement Learning
Application:
63/441,398 →
Determining Stationary Points of a Loss Function Using Clipped and Unbiased Gradients
Application:
63/441,399 →
Generating Environment Models Using in-Context Adaptation and Exploration
Application:
63/441,425 →
Controlling Agents Using Sub-Goals Generated by Language Model Neural Networks
Application:
63/445,999 →
Animating Images Using Point Trajectories
Application:
63/450,951 →
Animating Images Using Point Trajectories
Application:
63/452,405 →
Discovering Representations for Transfer with Successor Features
Application:
63/467,298 →
Sequential Predictions Using Hierarchical Forecasting Models
Application:
63/467,892 →
Training a Neural Network to Perform an Algorithmic Task Using a Self-Supervised Loss
Application:
63/481,777 →
Neural Population Learning
Application:
63/481,778 →
Reinforcement Learning by Directly Learning an Advantage Function
Application:
63/481,782 →
Leveraging Offline Training Data and Agent Competency Data to Improve Online Learning
Application:
63/490,377 →
Verification of Agent Output Through Adversarial Debate
Application:
63/502,793 →
Fast and Slow Adaptation for Language Model Predictive Control and/or Guidance
Application:
63/548,626 →
Visual Prompting for Few Shot Control
Application:
63/548,751 →
Denoising Autoregressive Models for Visual Representation Learning
Application:
63/548,772 →
Extracting Responses from Language Model Neural Networks by Scoring Response Tokens
Application:
63/548,821 →
Generation of an Output Token Sequence from an Input Token Sequence Using Two Language Model Neural Networks
Application:
63/548,823 →
Training Point Tracking Neural Networks
Application:
63/548,824 →
Training a Dual Encoder with a Correction Model
Application:
63/548,834 →
Hardware-Friendly and Parameter-Efficient Tuning of Neural Networks
Application:
63/548,835 →
Conformal Abstention for Language Processing Neural Networks
Application:
63/548,839 →
Generating Outputs Using Machine Learning Models
Application:
63/548,840 →
Learning Rigid Body Simulators Over Implicit Shapes
Application:
63/548,842 →
Mutual Alignment Vector Quantization
Application:
63/548,843 →
Training Neural Networks Using Preference Feedback
Application:
63/548,844 →
Conformal Abstention for Language Processing Neural Networks
Application:
63/549,306 →
End-To-End Video-Conditioned Robotic Policy Learning
Application:
63/549,351 →
Regressing Experiment Outcomes Using Language Model Neural Networks
Application:
63/556,842 →
Hybrid Neural Networks with Attention and Recurrence
Application:
63/558,623 →
Optimizing Molecule Fitness Using Multiple Diverse Molecule Design Techniques
Application:
63/560,587 →
Grounded Environment Representation in Language
Application:
63/562,563 →
Verifying Queries Using Neural Networks
Application:
63/562,610 →
Training a Media Item Encoder
Application:
63/562,630 →
Controlling Agents with Image and Video Encoder Neural Networks
Application:
63/563,902 →
Power Grid Control with Graph Neural Networks
Application:
63/568,406 →
Object-Oriented and/or Symbolic Prompting to Impose Structure on Generative Model Output
Application:
63/571,899 →
Attention Neural Networks with Mixture of Depths Attention Layer Blocks
Application:
63/572,112 →
Generating Suggested Communications by Simulating Interactions Using Language Model Neural Networks
Application:
63/584,151 →
Training a High-Level Controller to Generate Natural Language Commands for Controlling an Agent
Application:
63/584,156 →
Confidence Calibration for Machine Learning Models
Application:
63/586,410 →
Composable Function-Preserving Expansions of Neural Networks
Application:
63/592,868 →
Searching Through Candidate Computer Programs for Performing a Task Using a Language Model Neural Network
Application:
63/596,229 →
High-Performance and Low-Complexity Neural Compression from a Single Image or Video
Application:
63/600,412 →
Computer Code Generation from Task Descriptions Using Neural Networks
Application:
63/606,552 →
Dispatcher-Executor Systems for Multi-Task Learning
Application:
63/610,368 →
Performing Machine Learning Tasks by Processing Images as Videos
Application:
63/617,262 →
Generative Interactive Environments
Application:
63/627,019 →
Learning Dexterous Tasks
Application:
63/631,340 →
Rolling Diffusion Models for Sequence Generation
Application:
63/632,314 →
Neural Networks with Parameter Efficient Expert Retrieval
Application:
63/633,415 →
Efficient Noise Generation for Streaming Differential Privacy
Application:
63/636,661 →
Gated Sparse Encoder Neural Networks
Application:
63/638,369 →
Distilling Uncertainties into Machine Learning Models
Application:
63/638,853 →
Denoising Neural Networks with Shared Core Sub-Networks
Application:
63/638,870 →
Systems and Methods for Generating Multimodal Data Using a Generation Subsystem and Block Encoding
Application:
63/640,140 →
Wireless Stop for Electromechanical Devices
Application:
63/644,470 →
Scene Reconstruction Using Multi-View Generative Models
Application:
63/645,126 →
Real-Time Multi-Modal Artificial Intelligence Agent
Application:
63/646,306 →
Processing Multi-Modal Inputs Using Denoising Neural Networks
Application:
63/646,609 →
Text-To-Image Generation with Prompt Modification and Scoring
Application:
63/646,691 →
Generating Audio from Multiple Inputs Using Neural Networks
Application:
63/647,582 →
Real-Time Multi-Modal Artificial Intelligence Agent
Application:
63/647,601 →
Semi-Supervised Learning of Robot Control Policies
Application:
63/649,894 →
Training Image Generation Neural Network to Generate Semantically Similar Images
Application:
63/650,809 →
Diffusion Model Predictive Control
Application:
63/650,828 →
Processing Image, Along with New Camera Pose and/or Timestamp, to Generate Predicted Image from the New Camera Pose and/or at the New Timestamp
Application:
63/650,837 →
Multistep Distillation of Diffusion Models by Moment Matching
Application:
63/650,844 →
Methods for 3D-Aware Image Processing
Application:
63/650,864 →
System and Method for Forming a Consistent Scene Model from a Video
Application:
63/650,876 →
Generative Hierarchical Searching for Compounds
Application:
63/650,886 →
Privacy-Sensitive Training of Machine Learning Models
Application:
63/650,892 →
Training Neural Networks with Explicit Learning Rate Schedules
Application:
63/650,896 →
Detecting Neural Network Hallucinations Using in-Context Learning
Application:
63/650,897 →
Querying Unstructured Databases
Application:
63/650,903 →
Single Trajectory Policy Optimization for Generative Machine Learning Models
Application:
63/650,906 →
Training Image Representation Neural Networks Using Cross-Modal Interfaces
Application:
63/652,591 →
Generating Task Neural Networks from Larger Neural Networks Using Projections
Application:
63/656,066 →
Optimization of Logic Circuits by Transduction
Application:
63/656,213 →
Scalable Attention-Based Point Cloud Modeling
Application:
63/657,095 →
Generating Data Items Based on a Multidimensional Reward Model
Application:
63/658,098 →
Generating Content Recommendations with Language Model Neural Networks Using Reasoning Outputs
Application:
63/658,371 →
Generating Spectrograms of Audio Signals Conditioned on Video
Application:
63/658,435 →
Influential Data Selection for Neural Network Training
Application:
63/660,438 →
Objective-Conditioned Generative Neural Networks
Application:
63/660,443 →
Neural Networks with Effective Parameter Efficient Adaptations
Application:
63/660,454 →
Refinement of Neural-Based Trajectory Predictions with Probabilistic Graphical Models
Application:
63/660,884 →
Incremental Structured Summarization Using Generative Neural Networks
Application:
63/662,411 →
Weight Averaged Rewarded Policy Training for Machine Learning Models
Application:
63/662,986 →
Hierarchal Interfaces for Screen Reader Users
Application:
63/667,094 →
Neural Compression and/or Decompression of Spatial Data
Application:
63/667,648 →
Query Routing Using Self-Reflection in Generative Machine Learning Models
Application:
63/673,043 →
Generating Rotationally Invariant or Covariant Descriptors of Configurations of Points
Application:
63/673,556 →
Multi-Resolution Training for Latent Diffusion Models
Application:
63/676,208 →
Training Audio Encoder Neural Networks Using Denoising Losses
Application:
63/676,870 →
Adversarial Robustness via Ensembling Across Inputs, Models, or Model Layers
Application:
63/678,285 →
Hierarchical Robot Control
Application:
63/679,971 →
Training Neural Network Systems Using Negative Examples
Application:
63/684,239 →
Performance-Driven Logic Optimization for Logic Synthesis
Application:
63/686,883 →
Vegf-A Binding Proteins and Uses Thereof
Application:
63/690,167 →
BHRF1 Binding Proteins and Uses Thereof
Application:
63/690,183 →
SARS-CoV-2 RBD BINDING PROTEINS AND USES THEREOF
Application:
63/690,188 →
IL7R-A Binding Proteins and Uses Thereof
Application:
63/690,200 →
Pd-L1 Binding Proteins and Uses Thereof
Application:
63/690,214 →
Trk-A Binding Proteins and Uses Thereof
Application:
63/690,220 →
Il-17A Binding Proteins and Uses Thereof
Application:
63/690,253 →
Optimizing Routing of Interconnects Using Multiple Topologies
Application:
63/690,845 →
Distilling Uncertainties into Machine Learning Models
Application:
63/692,659 →
Generating Speech of a Given Style Using Machine Learning Models
Application:
63/694,151 →
Robot Learning Through Retrieval and Self Improvement
Application:
63/694,558 →
Generating Action Output Based on Processing Both Vision Data and Non-Visually Detected Event Data
Application:
63/694,871 →
Using Affordance Plans for Robot Control
Application:
63/694,905 →
Fast Generation from Convolutional Sequence Models
Application:
63/695,076 →
Attestable Deepfake Detection and/or Prevention
Application:
63/700,994 →
Fine-Tuning Generative Neural Networks for Generating Data Items with a Target Property
Application:
63/701,477 →
In-Context Task Progress Value Prediction
Application:
63/702,037 →
Use of Privileged Information to Improve Automatic Evaluations
Application:
63/702,103 →
Alignment of Neural Networks Using Architectural Modifications and Training Examples
Application:
63/702,110 →
Differentially Private Stochastic Gradient Descent Using Optimized Correlation Matrices
Application:
63/702,120 →
Incremental Task Performance Using a Structured Memory
Application:
63/702,128 →
Efficient Decoding of Output Sequences Using Parameter Sharing
Application:
63/702,137 →
Text-To-Image Generation with Prompt Modification and Scoring
Application:
63/703,822 →
Generation of Neural Network Weights Using a Diffusion Process
Application:
63/710,648 →
Embedding System for Computer-Implemented Agents
Application:
63/717,698 →
Scene Reconstruction Using Multi-View Generative Models
Application:
63/720,743 →
Video Creation by Demonstration
Application:
63/720,753 →
Glove Corresponding to Multi-Fingered Robotic Hand
Application:
63/726,441 →
Optimization of Manufacturing Patterns for Semiconductor Devices
Application:
63/735,044 →
Generating Data Items Based on a Multidimensional Reward Model
Application:
63/751,634 →
Continuous Control with Deep Reinforcement Learning
PCT:
PCT/US2016/043716 ↗
Training Neural Networks Using Normalized Target Outputs
PCT:
PCT/US2016/061663 ↗
Neural Programming
PCT:
PCT/US2016/061682 ↗
Training Neural Networks Using a Prioritized Experience Memory
PCT:
PCT/US2016/061693 ↗
Asynchronous Deep Reinforcement Learning
PCT:
PCT/US2016/061698 ↗
Dueling Deep Neural Networks
PCT:
PCT/US2016/061702 ↗
Selecting Action Slates Using Reinforcement Learning
PCT:
PCT/US2016/064476 ↗
Augmenting Neural Networks with External Memory
PCT:
PCT/US2016/066020 ↗
Performing Machine Learning Tasks by Processing Images as Videos
PCT:
PCT/US2025/010190 ↗
Fast and Slow Adaptation for Language Model Predictive Control and/or Guidance
PCT:
PCT/US2025/012740 ↗
Visual Prompting for Few Shot Control
PCT:
PCT/US2025/013723 ↗
Conformal Abstention for Neural Networks
PCT:
PCT/US2025/013726 ↗
Generative Interactive Environments
PCT:
PCT/US2025/013867 ↗
End-To-End Video-Conditioned Robotic Policy Learning
PCT:
PCT/US2025/013874 ↗
Learning Visual Representations Using Self-Attention and Denoising
PCT:
PCT/US2025/014146 ↗
Generation of an Output Token Sequence from an Input Token Sequence Using Two Language Model Neural Networks
PCT:
PCT/US2025/014152 ↗
Extracting Responses from Language Model Neural Networks by Scoring Response Tokens
PCT:
PCT/US2025/014169 ↗
Training Neural Networks Using Preference Feedback
PCT:
PCT/US2025/014216 ↗
Learning Rigid Body Simulators Over Implicit Shapes
PCT:
PCT/US2025/014302 ↗
Generating Outputs Using a Trained Model and a Task-Specific Model
PCT:
PCT/US2025/014346 ↗
Regressing Experiment Outcomes Using Language Model Neural Networks
PCT:
PCT/US2025/017045 ↗
Hybrid Neural Networks with Attention and Recurrence
PCT:
PCT/US2025/017712 ↗
Optimizing Molecule Fitness Using Multiple Diverse Molecule Design Techniques
PCT:
PCT/US2025/017930 ↗
Grounded Environment Representation in Language
PCT:
PCT/US2025/018750 ↗
Training a Media Item Encoder
PCT:
PCT/US2025/019003 ↗
Controlling Agents with Image and Video Encoder Neural Networks
PCT:
PCT/US2025/019358 ↗
Power Grid Control with Graph Neural Networks
PCT:
PCT/US2025/020857 ↗
Object-Oriented and/or Symbolic Prompting to Impose Structure on Generative Model Output
PCT:
PCT/US2025/021537 ↗
Attention Neural Networks with Mixture of Depths Attention Layer Blocks
PCT:
PCT/US2025/022366 ↗
Neural Networks with Parameter Efficient Expert Retrieval
PCT:
PCT/US2025/024352 ↗
Training a Population of Adversarial Neural Networks to Improve a Base Neural Network
PCT:
PCT/US2025/024921 ↗
Efficient Noise Generation for Streaming Differential Privacy
PCT:
PCT/US2025/025437 ↗
Distilling Uncertainties into Machine Learning Models
PCT:
PCT/US2025/026166 ↗
Gated Sparse Encoder Neural Networks
PCT:
PCT/US2025/026231 ↗
Denoising Neural Networks with Shared Core Sub-Networks
PCT:
PCT/US2025/026434 ↗
Systems and Methods for Generating Multimodal Data Using a Single-Tower Architecture with a Data Generation Subsystem
PCT:
PCT/US2025/026791 ↗
Scene Reconstruction Using Multi-View Generative Models
PCT:
PCT/US2025/028656 ↗
Generating Music from Images Using Generative Neural Networks
PCT:
PCT/US2025/029150 ↗
Text-To-Vision Generation with Prompt Modification and Scoring
PCT:
PCT/US2025/029167 ↗
Processing Multi-Modal Inputs Using Denoising Neural Networks
PCT:
PCT/US2025/029171 ↗
Generating Audio from Multiple Inputs Using Neural Networks
PCT:
PCT/US2025/029369 ↗
Multistep Distillation of Diffusion Models by Moment Matching
PCT:
PCT/US2025/030233 ↗
System and Method for Forming a Consistent Scene Model from a Video
PCT:
PCT/US2025/030303 ↗
Querying Unstructured Databases
PCT:
PCT/US2025/030314 ↗
Methods for 3D-Aware Image Processing
PCT:
PCT/US2025/030387 ↗
Generative Hierarchical Searching for Compounds
PCT:
PCT/US2025/030389 ↗
Diffusion Model Predictive Control
PCT:
PCT/US2025/030396 ↗
Processing Image, Along with New Camera Pose and/or New Timestamp, to Generate Predicted Image from the New Camera Pose and/or at the New Timestamp
PCT:
PCT/US2025/030415 ↗
Masked Diffusion Models with State-Dependent Masking Schedules
PCT:
PCT/US2025/030613 ↗
Training Neural Networks with Explicit Learning Rate Schedules
PCT:
PCT/US2025/030691 ↗
Distillation of Multi-Sample Preference Sampling Processes for Sequence Processing Models
PCT:
PCT/US2025/023446 ↗
Detecting Neural Network Hallucinations Using in-Context Learning
PCT:
PCT/US2025/030611 ↗
Related Assignments
(25)
Other recorded transfers of the patents in this record — the chain of ownership.
Assignment of Assignor's Interest
Sep 4, 2012
From: COPPIN, BENJAMIN KENNETH; SULEYMAN, MUSTAFA
To: DEEPMIND TECHNOLOGIES LIMITED
Reel/Frame 028892/0422 →
Assignment of Assignor's Interest
Mar 14, 2013
From: SULEYMAN, MUSTAFA; COPPIN, BENJAMIN KENNETH
To: DEEPMIND TECHNOLOGIES LIMITED
Reel/Frame 030003/0176 →
Assignment of Assignor's Interest
Jul 15, 2013
From: LERCHNER, ALEXANDER; HASSABIS, DEMIS
To: DEEPMIND TECHNOLOGIES LIMITED
Reel/Frame 030796/0197 →
Assignment of Assignor's Interest
Jan 30, 2014
From: MNIH, ANDRIY; KAVUKCUOGLU, KORAY
To: DEEPMIND TECHNOLOGIES LIMITED
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Assignment of Assignor's Interest
Apr 24, 2014
From: COPPIN, BENJAMIN KENNETH; SULEYMAN, MUSTAFA
To: DEEPMIND TECHNOLOGIES LIMITED
Reel/Frame 032746/0547 →
Assignment of Assignor's Interest
Apr 24, 2014
From: DEEPMIND TECHNOLOGIES LIMITED
To: GOOGLE INC.
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Assignment of Assignor's Interest
Dec 22, 2015
From: LERCHNER, ALEXANDER; HASSABIS, DEMIS
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Dec 22, 2015
From: DEEPMIND TECHNOLOGIES LIMITED
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Assignment of Assignor's Interest
Nov 16, 2016
From: GRAEPEL, THORE KURT HARTWIG; HUANG, SHIH-CHIEH; SILVER, DAVID; GUEZ, ARTHUR CLEMENT
To: GOOGLE INC.
Reel/Frame 040341/0864 →
Change of Name
Oct 6, 2017
From: GOOGLE INC.
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Oct 6, 2017
From: GOOGLE INC.
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Assignment of Assignor's Interest
Oct 20, 2017
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Oct 20, 2017
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Oct 31, 2018
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Jan 30, 2020
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Feb 7, 2020
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May 28, 2020
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May 20, 2021
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Jan 12, 2022
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