Patent Assignment
Reel/Frame 069288/0490
Bill of Sale
Recorded: 2024-10-31
Pages: 15
Assignor
AMAZON.COM SERVICES LLC
Executed: 2024-10-11
Assignee
AMAZON TECHNOLOGIES, INC.
410 TERRY AVENUE NORTH, SEATTLE, WASHINGTON, 98109
Covered Properties
(171)
Technique for Mitigating Overfitting in Neural Networks
Application:
62/199,560 →
Mitigating Overfitting in Training Machine Trained Networks
Patent:
10,586,151 →
Application:
15/224,632 →
Mitigating Overfitting in Training Machine Trained Networks
Patent:
11,348,006 →
Application:
16/812,361 →
Mitigating Overfitting in Training Machine Trained Networks
Application:
17/828,020 →
Publication:
US 2022/0292359
Machine Learning Through Multiple Layers of Novel Machine Trained Processing Nodes
Application:
62/295,110 →
Machine Learning Through Multiple Layers of Novel Machine Trained Processing Nodes
Machine Learning Through Multiple Layers of Novel Machine Trained Processing Nodes
Machine Learning Apparatuses, Systems, Assemblies and Methods
Application:
62/365,253 →
Machine Trained Network
Application:
62/427,739 →
Training Network to Minimize Worst-Case Error
Patent:
11,475,310 →
Application:
15/825,030 →
Training Network to Minimize Worst-Case Error
Training Network to Minimize Worst-Case Error
Application:
18/787,715 →
Publication:
US 2025/0068912
Machine Trained Network Using Novel Coding Techniques
Application:
62/431,478 →
Machine-Trained Network With Discrete Weight Values
Application:
62/492,940 →
Training Network with Discrete Weight Values
Patent:
11,113,603 →
Application:
15/815,222 →
Device Storing Ternary Weight Parameters for Machine-Trained Network
Patent:
11,017,295 →
Application:
15/815,251 →
Training network with discrete weight values
Using Triplets to Train a Network
Application:
62/599,013 →
Using Batches of Training Items for Training a Network
Patent:
10,671,888 →
Application:
15/901,456 →
Probabilistic Loss Function for Training Network with Triplets
Patent:
10,592,732 →
Application:
15/901,459 →
Using Batches of Training Items for Training a Network
Using Batches of Training Items for Training a Network
Machine-Trained Network for Misalignment-Insensitive Depth Perception
Application:
62/611,923 →
Machine-Trained Network for Misalignment-Insensitive Depth Perception
Patent:
10,453,220 →
Application:
15/869,990 →
Use of Machine-Trained Network for Misalignment-Insensitive Depth Perception
Patent:
10,742,959 →
Application:
15/870,020 →
Use of Machine-Trained Network for Misalignment Identification
Patent:
11,043,006 →
Application:
15/870,046 →
Dynamic Generation of Data Sets for Training Machine-Trained Network
Patent:
12,008,465 →
Application:
15/870,070 →
Machine-Trained Network for Misalignment-Insensitive Depth Perception
Patent:
11,373,325 →
Application:
16/591,591 →
Dynamic Generation of Data Sets for Training Machine-Trained Network
Application:
18/737,459 →
Publication:
US 2025/0148644
Training Network with Batches of Input Instances
Patent:
11,995,537 →
Application:
15/921,633 →
Training Network to Minimize Worst Case Surprise
Patent:
11,586,902 →
Application:
15/921,630 →
Reduced Dot Product Computation Circuit
Application:
62/660,914 →
Reduced Dot Product Computation Circuit
Application:
62/724,589 →
Reduced-Area Circuit for Dot Product Computation
Patent:
10,977,338 →
Application:
16/120,386 →
Reduced Dot Product Computation Circuit
Patent:
10,740,434 →
Application:
16/120,387 →
Reduced Dot Product Computation Circuit
Reduced Dot Product Computation Circuit
Reduced Dot Product Computation Circuit
Training Sparse Networks with Discrete Weight Values
Application:
62/627,407 →
Training Sparse Networks With Discrete Weight Values
Patent:
11,537,870 →
Application:
15/921,622 →
Systems and Methods for Propagating Data Packets in a Network of Nodes
Machine Trained Network Detecting Context-Sensitive Wake Expressions for a Digital Assistant
Application:
62/654,529 →
Machine-Trained Network Detecting Context-Sensitive Wake Expressions for a Digital Assistant
Patent:
11,250,840 →
Application:
16/376,637 →
Machine-Trained Network Detecting Context-Sensitive Wake Expressions for a Digital Assistant
Patent:
11,749,263 →
Application:
17/671,557 →
Machine Learning Through Multiple Layers of Novel Machine Trained Processing Nodes
Patent:
10,867,247 →
Application:
15/231,787 →
Configurable machine learning assemblies for autonomous operation in personal devices
Application:
15/396,267 →
Publication:
US 2018/0025268
Machine Trained Network Using Novel Coding Techniques
Patent:
12,001,948 →
Application:
15/836,676 →
Band Selection Switch Apparatus of Power Amplifier System
Patent:
10,110,259 →
Application:
15/815,253 →
Training Network to Maximize True Positive Rate at Low False Positive Rate
Patent:
12,165,066 →
Application:
15/921,634 →
Machine-Trained Network Detecting Context-Sensitive Wake Expressions for a Digital Assistant
Application:
18/241,885 →
Publication:
US 2023/0419955
Compressive Sensing Based Image Capture Device
Application:
62/720,647 →
Compressive Sensing Based Image Capture Device
Application:
62/756,037 →
Compressive Sensing Based Image Capture Device
Patent:
10,937,196 →
Application:
16/246,112 →
Compressive Sensing Based Image Capture Using Multi-Lens Array
Patent:
10,863,127 →
Application:
16/246,130 →
Compressive Sensing Based Image Capture Using Dynamic Masking
Patent:
10,887,537 →
Application:
16/246,142 →
Training Network for Compressive Sensing Based Image Processing
Patent:
10,885,674 →
Application:
16/246,150 →
Compressive Sensing Based Image Processing
Patent:
11,244,477 →
Application:
16/246,182 →
Compressive Sensing Based Image Capture Using Diffractive Mask
Patent:
11,094,090 →
Application:
16/246,191 →
Title Not Available
Application:
17/665,567 →
Neural Network Inference Circuit
Application:
62/742,802 →
Neural Network Inference Circuit
Application:
62/773,162 →
Computation of Neural Network Node by Neural Network Inference Circuit
Patent:
11,170,289 →
Application:
16/212,617 →
Computation of Neural Network Node
Patent:
11,341,397 →
Application:
16/212,618 →
Using Lookup Table to Represent Neural Network Activation Function
Patent:
11,361,213 →
Application:
16/212,621 →
Neural Network Inference Circuit
Patent:
11,205,115 →
Application:
16/212,622 →
Control Circuits for Neural Network Inference Circuit
Patent:
11,501,138 →
Application:
16/212,616 →
Computation of Neural Network Node by Neural Network Inference Circuit
Dot Product Computations on Neural Network Inference Circuit
Application:
62/753,878 →
Dot Product Computations on Neural Network Inference Circuit
Application:
62/773,164 →
Splitting Neural Network Filters for Implementation by Neural Network Inference Circuit
Patent:
11,250,326 →
Application:
16/212,643 →
Computation of Neural Network Node with Large Input Values
Patent:
11,531,727 →
Application:
16/212,645 →
Time-multiplexed Dot Products for Neural Network Inference Circuit
Patent:
11,295,200 →
Application:
16/212,646 →
Using Quinary Weights with Neural Network Inference Circuit Designed for Ternary Weights
Patent:
11,403,530 →
Application:
16/212,642 →
Computation of Neural Network Node with Large Input Values
Duplication of Neural Network Layers
Application:
62/775,886 →
Replication of Neural Network Layers
Application:
62/926,382 →
Executing Replicated Neural Network Layers on Inference Circuit
Patent:
11,995,533 →
Application:
16/684,128 →
Replication of Neural Network Layers
Patent:
11,604,973 →
Application:
16/698,942 →
Executing Replicated Neural Network Layers on Inference Circuit
Application:
18/667,960 →
Publication:
US 2025/0028945
Neural Network Inference Circuit Activation Value Storage
Application:
62/792,123 →
Neural Network Inference Circuit Activation Value Storage and Usage
Application:
62/797,910 →
Input Value Cache for Temporarily Storing Input Values
Patent:
11,531,868 →
Application:
16/355,653 →
Storage of Input Values Across Multiple Cores of Neural Network Inference Circuit
Patent:
11,481,612 →
Application:
16/355,656 →
Storage of Input Values Within Core of Neural Network Inference Circuit
Patent:
11,468,145 →
Application:
16/355,659 →
Shifting Input Values Within Input Buffer of Neural Network Inference Circuit
Patent:
11,886,979 →
Application:
16/355,648 →
Storage of Input Values Across Multiple Cores of Neural Network Inference Circuit
Application:
18/384,576 →
Publication:
US 2024/0062054
Neural Network Inference Circuit Employing Dynamic Memory Sleep
Application:
62/796,029 →
Neural Network Inference Circuit Employing Dynamic Memory Sleep
Application:
62/798,364 →
Neural Network Inference Circuit Employing Dynamic Memory Sleep
Patent:
11,347,297 →
Application:
16/427,302 →
Neural Network Inference Circuit Employing Dynamic Memory Sleep
Neural Network Inference Circuit Employing Dynamic Memory Sleep
Application:
18/595,161 →
Publication:
US 2024/0361824
Modification of Machine-Trained Network Hyperparameters
Application:
62/838,629 →
Iterative Transfer of Machine-Trained Network Inputs from Validation Set to Training Set
Patent:
11,531,879 →
Application:
16/453,622 →
Compiler for Optimizing Neural Network Implementation
Application:
62/851,082 →
Compiler for Optimizing Neural Network Implementation
Application:
62/866,599 →
Compiler for Optimizing Number of Cores Used to Implement Neural Network
Patent:
12,165,069 →
Application:
16/525,445 →
Compiler for Optimizing Memory Allocations within Cores
Patent:
11,868,901 →
Application:
16/525,449 →
Compiler for Implementing Memory Shutdown for Neural Network Implementation Configuration
Patent:
11,615,322 →
Application:
16/525,456 →
Compiler for Implementing Gating Functions for Neural Network Configuration
Patent:
12,260,317 →
Application:
16/525,460 →
Compiler for Optimizing Filter Sparsity for Neural Network Implementation Configuration
Patent:
11,625,585 →
Application:
16/525,466 →
Compiler for Performing Zero-Channel Removal
Patent:
11,941,533 →
Application:
16/525,469 →
Encoding of Weight Values Stored on Neural Network Inference Circuit
Application:
62/853,128 →
Encoding of Weight Values Stored on Neural Network Inference Circuit
Patent:
11,049,013 →
Application:
16/457,756 →
Weight Value Decoder of Neural Network Inference Circuit
Patent:
11,210,586 →
Application:
16/457,757 →
Weight Value Decoder of Neural Network Inference Circuit
Patent:
12,118,463 →
Application:
17/550,177 →
Bus for Transporting Output Values of Neural Network Layer
Application:
62/873,804 →
Bus for Transporting Output Values of a Neural Network Layer to Cores Specified by Configuration Data
Patent:
12,093,696 →
Application:
16/537,481 →
Write Cache for Neural Network Inference Circuit
Patent:
11,586,910 →
Application:
16/537,478 →
Read Controller Operations for Neural Network Inference Circuit
Application:
62/946,188 →
Neural Network Inference Circuit Read Controller with Multiple Operational Modes
Patent:
11,568,227 →
Application:
16/717,926 →
Address Decoding by Neural Network Inference Circuit Read Controller
Patent:
12,518,146 →
Application:
16/717,925 →
Non-Dot Product Computations for Neural Network Inference Circuit
Application:
62/886,888 →
Non-Dot Product Computations on Neural Network Inference Circuit
Patent:
11,222,257 →
Application:
16/547,506 →
Data Transfer for Non-Dot Product Computations on Neural Network Inference Circuit
Patent:
11,783,167 →
Application:
16/547,505 →
Data Transfer for Non-Dot Product Computations on Neural Network Inference Circuit
Hyperparameter Modification
Application:
62/913,707 →
Removing Nodes from Machine-Trained Network Based on Introduction of Probabilistic Noise During Training
Patent:
11,900,238 →
Application:
16/780,842 →
Preventing Overfitting of Hyperparameters During Training of Network
Patent:
11,610,154 →
Application:
16/780,841 →
Optimizing Loss Function During Training of Network
Patent:
12,112,254 →
Application:
16/780,843 →
Neural Networks with Spatial and Temporal Features
Application:
62/888,413 →
Neural Networks with Spatial and Temporal Features
Application:
62/901,740 →
Neural Networks with Spatial and Temporal Features
Patent:
11,620,495 →
Application:
16/584,890 →
Circuit for Executing Stateful Neural Network
Patent:
11,868,871 →
Application:
16/584,891 →
Video Denoising Using Neural Networks with Spatial and Temporal Features
Patent:
11,151,695 →
Application:
16/584,888 →
Circuit for Executing Stateful Neural Network
Application:
18/405,440 →
Publication:
US 2024/0153044
Quantizing Neural Networks
Application:
62/880,475 →
Quantizing Neural Networks Using Approximate Quantization Function
Quantizing Neural Networks Using Shifting and Scaling
Application:
18/542,537 →
Publication:
US 2024/0193426
Training a Neural Network with Quantized Weights
Application:
62/949,082 →
Training a Neural Network with Quantized Weights
Application:
62/955,349 →
Training a Neural Network with Quantized Weights
Patent:
11,995,555 →
Application:
16/923,001 →
Initialization of Values for Training a Neural Network with Quantized Weights
Patent:
12,093,816 →
Application:
16/923,002 →
Storing of Intermediate Computed Values for Subsequent Use Machine Trained Network
Application:
62/933,960 →
Storing of Intermediate Computed Values for Subsequent Use in a Machine Trained Network
Patent:
11,948,067 →
Application:
17/093,278 →
Storing of Intermediate Computed Values for Subsequent Use in a Machine Trained Network
Patent:
12,165,055 →
Application:
17/093,285 →
Storing of Intermediate Computed Values for Subsequent Use in a Machine Trained Network
Patent:
11,941,511 →
Application:
17/093,296 →
Loss-Aware Replication of Neural Network Layers
Application:
62/975,539 →
Loss-Aware Replication of Neural Network Layers
Patent:
11,847,567 →
Application:
16/923,003 →
Optimizing Global Sparsity for Neural Network
Patent:
12,136,039 →
Application:
16/923,004 →
Batch Normalization for Replicated Layers of Neural Network
Patent:
12,045,725 →
Application:
16/923,006 →
Decomposition of Layer in Quantized Network
Application:
63/065,472 →
Decomposition of Ternary Weight Tensors
Patent:
12,061,988 →
Application:
17/089,653 →
Decomposition of Weight Tensors in Network with Value Quantization
Patent:
12,061,981 →
Application:
17/089,660 →
Division of Neural Network Inputs
Application:
63/117,976 →
Execution of Machine-Trained Network
Patent:
12,626,121 →
Application:
17/199,220 →
Generation of Machine-Trained Network Instructions
Patent:
12,124,939 →
Application:
17/199,221 →
Visual Wake Content for Image Processing
Application:
63/117,375 →
Visual Wake Content for Image Processing
Patent:
12,322,182 →
Application:
17/532,903 →
Unified Memory for Integrated Circuit Executing Neural Network
Application:
63/178,933 →
Unified Memory for Integrated Circuit Executing Neural Network
Patent:
12,675,678 →
Application:
17/306,744 →
Allocating Blocks of Unified Memory for Integrated Circuit Executing Neural Network
Patent:
12,217,160 →
Application:
17/306,745 →
Buffering of Neural Network Inputs and Outputs
Patent:
12,159,214 →
Application:
17/306,742 →
Title Not Available
Application:
63/178,889 →
Title Not Available
Application:
63/189,516 →
Decomposition of Weight Tensors for Structural Sparsity
Patent:
12,579,430 →
Application:
17/696,812 →
Accounting for Compute Time in Training of Network
Patent:
12,572,798 →
Application:
17/696,819 →
Probabilistic Projection of Network Parameters
Patent:
12,536,413 →
Application:
17/696,809 →
Title Not Available
Application:
63/243,686 →
Neural Network Inference Circuit with Piecewise Linear Activation Circuit
Patent:
12,579,416 →
Application:
17/543,471 →
Neural Network Inference Circuit Performing Matrix Multiplication
Patent:
12,639,557 →
Application:
17/543,474 →
Selection of Inputs for Training Machine-Trained Network
Application:
63/294,571 →
Selection of Inputs for Training Machine-Trained Network
Patent:
12,596,931 →
Application:
18/088,725 →
Weighted Selection of Inputs for Training Machine-Trained Network
Patent:
12,367,661 →
Application:
18/088,726 →
Neural Network Loss Function That Incorporates Incorrect Category Probabilities
Application:
63/388,044 →
Neural Network Loss Function That Incorporates Incorrect Category Probabilities
Patent:
12,387,092 →
Application:
18/115,553 →
Title Not Available
Application:
63/437,098 →
Title Not Available
Application:
63/438,630 →
Title Not Available
Application:
63/464,334 →
Training Natural Language Processing Network Based on Existing Network
Patent:
12,675,635 →
Application:
18/402,135 →
Initialization of Values for Training a Neural Network with Quantized Weights
Application:
18/824,090 →
Publication:
US 2025/0148279
Bus for Transporting Output Values of Neural Network Layer
Application:
18/824,034 →
Publication:
US 2025/0103341
Related Assignments
(21)
Other recorded transfers of the patents in this record — the chain of ownership.
Assignment of Assignor's Interest
Aug 20, 2015
From: TEIG, STEVE
To: TESSERA ADVANCED TECHNOLOGIES, INC.
Reel/Frame 036408/0345 →
Assignment of Assignor's Interest
Apr 18, 2016
From: TEIG, STEVEN L.
To: TESSERA ADVANCED TECHNOLOGIES, INC.
Reel/Frame 038307/0665 →
Assignment of Assignor's Interest
Jul 21, 2016
From: TEIG, STEVE L.; HABA, BELGACEM; MOHAMMED, ILYAS
To: TESSERA ADVANCED TECHNOLOGIES, INC.
Reel/Frame 039216/0057 →
Assignment of Assignor's Interest
Aug 8, 2016
From: TEIG, STEVEN L
To: TESSERA ADVANCED TECHNOLOGIES, INC.
Reel/Frame 039373/0639 →
Assignment of Assignor's Interest
Aug 31, 2016
From: TEIG, STEVEN L.
To: TESSERA ADVANCED TECHNOLOGIES, INC.
Reel/Frame 039602/0954 →
Assignment of Assignor's Interest
May 1, 2017
From: TEIG, STEVEN L.
To: TESSERA ADVANCED TECHNOLOGIES, INC.
Reel/Frame 042196/0739 →
Assignment of Assignor's Interest
May 1, 2017
From: TEIG, STEVEN L.
To: TESSERA ADVANCED TECHNOLOGIES, INC
Reel/Frame 042196/0994 →
Assignment of Assignor's Interest
May 25, 2017
From: TEIG, STEVEN L.; SATHER, ERIC
To: TESSERA ADVANCED TECHNOLOGIES, INC.
Reel/Frame 042512/0274 →
Assignment of Assignor's Interest
Feb 21, 2018
From: SATHER, ERIC A.; TEIG, STEVEN L.; MIHAL, ANDREW C.
To: XCELSIS CORPORATION
Reel/Frame 044991/0524 →
Assignment of Assignor's Interest
Feb 21, 2018
From: SATHER, ERIC A.; TEIG, STEVEN L.; MIHAL, ANDREW C.
To: XCELSIS CORPORATION
Reel/Frame 044991/0609 →
Assignment of Assignor's Interest
Apr 6, 2018
From: TEIG, STEVEN L.; MIHAL, ANDREW C.
To: XCELSIS CORPORATION
Reel/Frame 045467/0334 →
Assignment of Assignor's Interest
Apr 13, 2018
From: MIHAL, ANDREW; TEIG, STEVEN
To: XCELSIS CORPORATION
Reel/Frame 045540/0219 →
Assignment of Assignor's Interest
Apr 13, 2018
From: MIHAL, ANDREW C.; TEIG, STEVEN L.
To: XCELSIS CORPORATION
Reel/Frame 045540/0179 →
Assignment of Assignor's Interest
Apr 13, 2018
From: TEIG, STEVEN L.; SATHER, ERIC A.
To: XCELSIS CORPORATION
Reel/Frame 045540/0141 →
Assignment of Assignor's Interest
Apr 13, 2018
From: TEIG, STEVEN L.; SATHER, ERIC A.
To: XCELSIS CORPORATION
Reel/Frame 045539/0976 →
Assignment of Assignor's Interest
Apr 13, 2018
From: TEIG, STEVEN L.; SATHER, ERIC A.
To: XCELSIS CORPORATION
Reel/Frame 045540/0026 →
Assignment of Assignor's Interest
Apr 13, 2018
From: MIHAL, ANDREW; TEIG, STEVEN
To: XCELSIS CORPORATION
Reel/Frame 045967/0158 →
Assignment of Assignor's Interest
Apr 13, 2018
From: MIHAL, ANDREW; TEIG, STEVEN
To: XCELSIS CORPORATION
Reel/Frame 045543/0991 →
Assignment of Assignor's Interest
Apr 20, 2018
From: TESSERA ADVANCED TECHNOLOGIES, INC.
To: XCELSIS CORPORATION
Reel/Frame 045603/0986 →
Assignment of Assignor's Interest
Dec 3, 2018
From: XCELSIS CORPORATION
To: PERCEIVE CORPORATION
Reel/Frame 047657/0614 →
Assignment of Assignor's Interest
Oct 31, 2024
From: PERCEIVE CORPORATION
To: AMAZON.COM SERVICES LLC
Reel/Frame 069288/0731 →