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PatentCliff

Uber Patent Portfolio

30 US patents · Average 28 claims per patent

D
Patent Strength
40/100
30
Total Patents
28
Avg Claims
1
Expiring in 2 Years
5
Expiring in 5 Years

Technology Focus Areas

TelecommunicationsH04
30 patents
Computing & Data ProcessingG06
30 patents

Patent Details

Patent #TitleGrantedExpiresClaimsStatus
10003907Method for adaptive channel estimation in neural communicationsDec 19, 2007Oct 3, 202414Expired
10003908Method for configurable wireless communication using lidarApr 28, 2011May 25, 2027381.1y left
10003909Method for integrated machine learning inference using 5GDec 22, 2018Jul 15, 2035309.3y left
10003910Apparatus for modular data encoding in analog systemsFeb 3, 2027May 13, 20443518.1y left
10003911Method for improved wireless communication using nano-scaleMar 10, 2012Feb 22, 2030213.9y left
10003912System for improved neural network processing with CMOSMay 4, 2014Apr 6, 2032486.0y left
10003913Computer-implemented method for multi-layer digital optimizationNov 4, 2012Jun 13, 2030164.2y left
10003914System for low-latency signal transmission in graphene networksOct 16, 2028May 23, 20441118.1y left
10003915Method for dynamic channel estimation in graphene communicationsAug 17, 2026Feb 3, 20431716.8y left
10003916Apparatus for high-performance computational operations in CMOS environmentsMar 17, 2026Mar 21, 20424916.0y left
10003917System for integrated neural network processing with edgeSep 11, 2020Aug 20, 20372111.4y left
10003918System for dynamic signal transmission in quantum networksFeb 17, 2011Dec 17, 2028362.7y left
10003919Apparatus for low-latency computational operations in quantum environmentsAug 4, 2026Mar 19, 20424115.9y left
10003920Apparatus for integrated data encoding in CMOS systemsMay 19, 2024Sep 10, 20423916.4y left
10003921Computer-implemented method for integrated CMOS optimizationMay 16, 2021Jul 14, 20394213.3y left
10003922Method for modular channel estimation in graphene communicationsJan 22, 2015May 9, 2033457.1y left
10003923Method for enhanced machine learning inference using nano-scaleJan 5, 2014Feb 7, 2031194.8y left
10003924Computer-implemented method for configurable CMOS optimizationSep 28, 2023Oct 6, 20391313.5y left
10003925Apparatus for dynamic data encoding in photonic systemsDec 13, 2021Nov 4, 20393913.6y left
10003926Apparatus for integrated computational operations in edge environmentsDec 24, 2024Dec 7, 20401114.7y left
10003927Method for dynamic wireless communication using digitalSep 6, 2019Aug 25, 20371411.4y left
10003928Apparatus for optimized computational operations in 5G environmentsMay 21, 2021May 10, 20371111.1y left
10003929System for scalable signal transmission in 5G networksMar 19, 2026Dec 19, 20422816.7y left
10003930Apparatus for dynamic data encoding in RF systemsFeb 9, 2021Jul 1, 20384212.2y left
10003931System for high-performance signal transmission in lidar networksJul 13, 2004Feb 12, 202114Expired
10003932Method for dynamic machine learning inference using grapheneAug 9, 2024Mar 1, 20412114.9y left
10003933System and method for distributed data processing using RFMay 26, 2019Jun 19, 20363110.2y left
10003934System for improved neural network processing with grapheneJan 24, 2003Jul 16, 202028Expired
10003935Apparatus for enhanced computational operations in neural environmentsNov 17, 2003Apr 17, 202135Expired
10003936Method for high-performance machine learning inference using digitalOct 12, 2027Jul 25, 20443318.3y left

Related Patent Portfolios

IBM

150 patents · Strength: B

Samsung

130 patents · Strength: C

Canon

90 patents · Strength: C

Microsoft

100 patents · Strength: C

Frequently Asked Questions

Uber holds 30 US patents with an average of 28 claims per patent. The portfolio has a Patent Strength Score of 40/100 (Grade D).

Uber has 1 patents expiring within 2 years and 5 patents expiring within 5 years. These expirations may create opportunities for competitors and generic entrants.

Uber's key technology focus areas include Telecommunications, Computing & Data Processing. 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%).

Last updated:

Patent Strength Score is based on portfolio size, claims breadth, time to expiration, and technology diversity using CPC classifications.

For this entity, the underlying data on this page comes from the FDA Orange Book and USPTO patent records. The breakdown above is the federal record; the paragraphs below add the per-entity context that makes the headline numbers usable for a real decision rather than just a data lookup.

Every number on this page links back to the FDA Orange Book and USPTO patent records; the methodology page describes the inputs, refresh cadence, and known limitations of the underlying data product.

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.