General Dynamics Patent Portfolio
35 US patents · Average 28 claims per patent
Technology Focus Areas
Patent Details
| Patent # | Title | Granted | Expires | Claims | Status |
|---|---|---|---|---|---|
| 10004552 | System for optimized neural network processing with neural | Apr 1, 2020 | Nov 7, 2036 | 48 | 10.6y left |
| 10004553 | Method for multi-layer machine learning inference using 5G | Apr 15, 2027 | Sep 3, 2043 | 30 | 17.4y left |
| 10004554 | Apparatus for modular data encoding in edge systems | Jan 5, 2017 | Jan 5, 2035 | 29 | 8.7y left |
| 10004555 | Computer-implemented method for integrated nano-scale optimization | Nov 3, 2013 | Nov 2, 2030 | 28 | 4.6y left |
| 10004556 | Method for advanced machine learning inference using AI-driven | Apr 2, 2005 | Jun 8, 2021 | 31 | Expired |
| 10004557 | Method for advanced machine learning inference using AI-driven | Sep 11, 2017 | Dec 8, 2034 | 8 | 8.7y left |
| 10004558 | System for high-performance neural network processing with blockchain | Sep 9, 2024 | Dec 22, 2041 | 31 | 15.7y left |
| 10004559 | Method for distributed wireless communication using RF | May 12, 2019 | Oct 1, 2036 | 20 | 10.5y left |
| 10004560 | Method for efficient wireless communication using edge | Nov 6, 2006 | Jun 18, 2023 | 18 | Expired |
| 10004561 | Method for dynamic machine learning inference using neural | Aug 26, 2014 | Mar 19, 2032 | 37 | 5.9y left |
| 10004562 | System for enhanced neural network processing with CMOS | Nov 19, 2025 | Mar 18, 2041 | 41 | 14.9y left |
| 10004563 | Apparatus for low-latency computational operations in MEMS environments | Dec 4, 2023 | Aug 19, 2039 | 15 | 13.4y left |
| 10004564 | System for dynamic signal transmission in photonic networks | Jun 3, 2016 | Apr 10, 2034 | 18 | 8.0y left |
| 10004565 | Method for low-latency wireless communication using quantum | May 2, 2025 | Dec 6, 2042 | 19 | 16.7y left |
| 10004566 | Apparatus for modular computational operations in RF environments | Jan 22, 2012 | Aug 16, 2028 | 43 | 2.4y left |
| 10004567 | Apparatus for autonomous data encoding in photonic systems | Jun 22, 2016 | Mar 13, 2032 | 38 | 5.9y left |
| 10004568 | Method for multi-layer wireless communication using quantum | Jul 16, 2027 | Jan 3, 2043 | 27 | 16.7y left |
| 10004569 | Method for improved channel estimation in quantum communications | Dec 11, 2017 | Oct 23, 2035 | 36 | 9.5y left |
| 10004570 | Method for modular wireless communication using edge | Jun 12, 2007 | Jun 27, 2025 | 6 | Expired |
| 10004571 | Computer-implemented method for distributed cloud optimization | Jan 13, 2027 | Feb 19, 2043 | 29 | 16.9y left |
| 10004572 | Apparatus for optimized computational operations in neural environments | Jul 3, 2022 | Jul 11, 2039 | 27 | 13.3y left |
| 10004573 | System for distributed signal transmission in graphene networks | Nov 12, 2021 | Nov 7, 2039 | 47 | 13.6y left |
| 10004574 | Method for configurable machine learning inference using edge | May 27, 2020 | Dec 27, 2038 | 29 | 12.7y left |
| 10004575 | Apparatus for modular data encoding in photonic systems | Mar 27, 2019 | Feb 24, 2035 | 34 | 8.9y left |
| 10004576 | Method for scalable wireless communication using AI-driven | May 5, 2028 | Jun 26, 2044 | 24 | 18.2y left |
| 10004577 | Method for efficient wireless communication using 5G | Dec 23, 2025 | Mar 1, 2041 | 43 | 14.9y left |
| 10004578 | Apparatus for integrated data encoding in edge systems | Jul 2, 2018 | Jun 17, 2035 | 25 | 9.2y left |
| 10004579 | Method for optimized wireless communication using RF | Aug 20, 2021 | Aug 25, 2038 | 28 | 12.4y left |
| 10004580 | Method for advanced channel estimation in edge communications | Jul 12, 2020 | Oct 11, 2036 | 49 | 10.5y left |
| 10004581 | Method for optimized channel estimation in quantum communications | Mar 19, 2016 | Jan 3, 2032 | 13 | 5.7y left |
| 10004582 | Apparatus for improved data encoding in edge systems | Mar 13, 2023 | Oct 21, 2041 | 26 | 15.5y left |
| 10004583 | Method for improved wireless communication using blockchain | Jun 16, 2011 | Sep 22, 2028 | 18 | 2.5y left |
| 10004584 | Method for improved machine learning inference using quantum | Nov 4, 2025 | Apr 21, 2043 | 30 | 17.0y left |
| 10004585 | Method for autonomous wireless communication using photonic | Feb 17, 2020 | Aug 28, 2038 | 17 | 12.4y left |
| 10004586 | Method for distributed wireless communication using nano-scale | Oct 4, 2022 | Apr 22, 2040 | 22 | 14.0y left |
Frequently Asked Questions
General Dynamics holds 35 US patents with an average of 28 claims per patent. The portfolio has a Patent Strength Score of 41/100 (Grade D).
General Dynamics has 0 patents expiring within 2 years and 3 patents expiring within 5 years. The portfolio has a healthy time horizon.
General Dynamics's key technology focus areas include Computing & Data Processing, Telecommunications. The portfolio spans 2 distinct technology classifications (CPC codes).
The Patent Strength Score (0-100, A-F) benchmarks a company's patent portfolio quality based on portfolio size (30%), claims breadth (25%), time remaining to expiration (25%), and portfolio diversity across technology areas (20%).
Patent Strength Score is based on portfolio size, claims breadth, time to expiration, and technology diversity using CPC classifications.
The this entity record above pulls directly from the FDA Orange Book and USPTO patent records. What follows is the per-entity context — how this entity sits in the broader U.S. pharmaceutical patent expirations distribution and which underlying factors drive the headline numbers.
The methodology behind every numeric value on this page is publicly documented on the the FDA Orange Book and USPTO patent records portal and described in detail on this site’s methodology page. Refresh cadence varies by underlying series; the page surfaces the as-of date for each number so readers can trace any figure back to the source release.
Practical use of this page is in combination with the comparison and ranking pages elsewhere on the site, which surface the same data for this entity’s peers within U.S. brand-name drugs. A single-entity reading without peer context can be misleading when an entity is an outlier on one axis but typical on another.
Source: USPTO patent search, 2026.