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PatentCliff

Waters Patent Portfolio

25 US patents · Average 30 claims per patent

D
Patent Strength
40/100
25
Total Patents
30
Avg Claims
1
Expiring in 2 Years
5
Expiring in 5 Years

Technology Focus Areas

Computing & Data ProcessingG06
25 patents
TelecommunicationsH04
25 patents

Patent Details

Patent #TitleGrantedExpiresClaimsStatus
10005170Method for advanced machine learning inference using neuralDec 15, 2019Dec 3, 20364010.7y left
10005171System and method for configurable data processing using photonicMay 26, 2014Jan 20, 2030243.8y left
10005172Method for multi-layer machine learning inference using nano-scaleJun 13, 2023Sep 3, 2039513.4y left
10005173Method for distributed channel estimation in analog communicationsMay 6, 2010Dec 14, 2028322.7y left
10005174Apparatus for integrated computational operations in neural environmentsMar 7, 2015Mar 15, 2031494.9y left
10005175Apparatus for distributed computational operations in digital environmentsAug 27, 2024Mar 4, 20414814.9y left
10005176System for optimized signal transmission in digital networksDec 6, 2026Apr 16, 20423716.0y left
10005177System for enhanced neural network processing with edgeJul 28, 2021Oct 1, 20391913.5y left
10005178Method for multi-layer machine learning inference using MEMSDec 22, 2027Sep 14, 20442318.4y left
10005179Method for modular channel estimation in neural communicationsSep 3, 2025Dec 22, 20434117.7y left
10005180Method for multi-layer wireless communication using edgeApr 6, 2023Feb 23, 20393412.9y left
10005181Computer-implemented method for modular quantum optimizationOct 13, 2019Sep 13, 2035229.4y left
10005182Apparatus for adaptive data encoding in photonic systemsOct 13, 2025Jul 3, 2041715.2y left
10005183System for improved neural network processing with quantumJun 5, 2006May 25, 202246Expired
10005184Computer-implemented method for improved blockchain optimizationMay 18, 2016Mar 12, 2034287.9y left
10005185System for dynamic signal transmission in lidar networksAug 11, 2021Mar 17, 20394412.9y left
10005186System and method for scalable data processing using nano-scaleNov 13, 2013Jun 13, 2030164.2y left
10005187Computer-implemented method for integrated 5G optimizationAug 27, 2026Feb 12, 2042815.9y left
10005188Method for multi-layer channel estimation in analog communicationsNov 6, 2020Jun 2, 20363110.2y left
10005189Method for efficient wireless communication using analogFeb 9, 2022Nov 22, 20392713.6y left
10005190Method for efficient channel estimation in neural communicationsApr 17, 2005Aug 18, 202336Expired
10005191Method for efficient wireless communication using AI-drivenMar 22, 2018Feb 16, 2034487.9y left
10005192Apparatus for efficient computational operations in photonic environmentsOct 5, 2010Mar 8, 2027240.9y left
10005193System for dynamic signal transmission in AI-driven networksJan 28, 2021Jan 22, 20392212.8y left
10005194Apparatus for configurable computational operations in AI-driven environmentsJul 20, 2026Nov 23, 20432717.6y 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

Waters holds 25 US patents with an average of 30 claims per patent. The portfolio has a Patent Strength Score of 40/100 (Grade D).

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

Waters'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%).

Last updated:

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.

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.

For readers using this page as a decision input, the related-entity pages elsewhere on the site provide the comparison set. The most useful comparison for this entity is typically a peer within U.S. brand-name drugs with similar size, similar exposure, or similar geography — not the national-level summary alone.

Source: USPTO patent search, 2026.