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PatentCliff

Becton Dickinson Patent Portfolio

30 US patents · Average 29 claims per patent

D
Patent Strength
40/100
30
Total Patents
29
Avg Claims
2
Expiring in 2 Years
2
Expiring in 5 Years

Technology Focus Areas

Computing & Data ProcessingG06
30 patents
TelecommunicationsH04
30 patents

Patent Details

Patent #TitleGrantedExpiresClaimsStatus
10005195Apparatus for autonomous computational operations in nano-scale environmentsJun 21, 2023Nov 7, 20404514.6y left
10005196Method for low-latency channel estimation in digital communicationsMay 28, 2022Dec 20, 20383512.7y left
10005197Method for advanced wireless communication using grapheneJun 18, 2027Aug 8, 20441818.3y left
10005198Computer-implemented method for high-performance nano-scale optimizationJul 22, 2025Aug 28, 20433617.4y left
10005199System for dynamic neural network processing with AI-drivenAug 20, 2010Apr 8, 2026420.0y left
10005200Method for multi-layer wireless communication using digitalNov 19, 2019Nov 15, 2035259.6y left
10005201Apparatus for modular computational operations in edge environmentsJun 12, 2025Jun 6, 20422416.2y left
10005202Method for enhanced machine learning inference using nano-scaleNov 11, 2006Nov 28, 202249Expired
10005203System and method for high-performance data processing using photonicDec 11, 2004Mar 14, 202126Expired
10005204System for integrated neural network processing with neuralNov 12, 2021Aug 3, 20371011.3y left
10005205Apparatus for efficient data encoding in cloud systemsNov 5, 2027Jul 7, 20434417.2y left
10005206Method for improved machine learning inference using cloudMar 20, 2016Jun 1, 2034158.2y left
10005207Method for low-latency wireless communication using neuralSep 10, 2024Dec 26, 20423216.7y left
10005208Method for high-performance channel estimation in graphene communicationsJul 1, 2025Jan 14, 20434216.8y left
10005209Apparatus for improved data encoding in CMOS systemsJun 25, 2020May 27, 20362410.1y left
10005210Method for distributed machine learning inference using nano-scaleMar 18, 2028Dec 26, 20441618.7y left
10005211Apparatus for efficient data encoding in analog systemsAug 15, 2002Sep 20, 202019Expired
10005212System for enhanced signal transmission in neural networksSep 22, 2003Dec 25, 20216Expired
10005213Apparatus for efficient data encoding in photonic systemsFeb 3, 2022May 27, 20391613.1y left
10005214Method for scalable channel estimation in digital communicationsDec 21, 2027Mar 25, 20433817.0y left
10005215System for improved signal transmission in graphene networksJun 18, 2010Jun 22, 2027421.2y left
10005216Apparatus for high-performance computational operations in analog environmentsJun 20, 2020Nov 16, 20382312.6y left
10005217Apparatus for high-performance data encoding in photonic systemsJun 28, 2003Sep 27, 202026Expired
10005218Computer-implemented method for adaptive edge optimizationFeb 26, 2015Dec 24, 2031465.7y left
10005219System for distributed neural network processing with digitalJul 15, 2016Sep 12, 2032186.4y left
10005220Method for high-performance machine learning inference using photonicFeb 18, 2025Oct 21, 20411915.5y left
10005221System for integrated signal transmission in lidar networksJun 13, 2006Oct 18, 202441Expired
10005222Apparatus for distributed data encoding in analog systemsNov 27, 2015Nov 25, 2031345.6y left
10005223Method for scalable wireless communication using CMOSNov 19, 2021Apr 12, 20382212.0y left
10005224Apparatus for low-latency computational operations in graphene environmentsSep 3, 2021Sep 3, 20394513.4y left

Frequently Asked Questions

Becton Dickinson holds 30 US patents with an average of 29 claims per patent. The portfolio has a Patent Strength Score of 40/100 (Grade D).

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

Becton Dickinson'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%).

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