Duke University AI Strategy - 2025

In 2025, Duke University has filed a diverse range of AI-related patent applications, reflecting its strategic focus on artificial intelligence innovations. This page analyzes patent applications submitted by Duke University in different CPC (Cooperative Patent Classification) classes and identifies key technology trends.

Introduction

Duke University's AI patent strategy in 2025 showcases a robust approach to protecting and advancing its technological innovations across multiple areas. By securing patents in these key CPC classes, Duke University not only strengthens its market position but also fosters continuous innovation in artificial intelligence and related technologies.

To date in 2025, Duke University has filed 3 patent applications related to artificial intelligence technologies.

Key Technology Areas

CPC G06T7/0012 ({Biomedical image inspection})

Duke University's patent applications in this area focus on innovations in {Biomedical image inspection}, which are crucial for the company's AI initiatives.

Total Applications Filed: 1
Percentage of AI Portfolio: 33.3%

CPC G06T7/12 (Edge-based segmentation)

Duke University's patent applications in this area focus on innovations in Edge-based segmentation, which are crucial for the company's AI initiatives.

Total Applications Filed: 1
Percentage of AI Portfolio: 33.3%

CPC G06T2207/10101 (Image acquisition modality)

Duke University's patent applications in this area focus on innovations in Image acquisition modality, which are crucial for the company's AI initiatives.

Total Applications Filed: 1
Percentage of AI Portfolio: 33.3%

CPC G06T2207/20081 (Special algorithmic details)

Duke University's patent applications in this area focus on innovations in Special algorithmic details, which are crucial for the company's AI initiatives.

Total Applications Filed: 1
Percentage of AI Portfolio: 33.3%

CPC G06T2207/30041 (Subject of image; Context of image processing)

Duke University's patent applications in this area focus on innovations in Subject of image; Context of image processing, which are crucial for the company's AI initiatives.

Total Applications Filed: 1
Percentage of AI Portfolio: 33.3%

CPC G06T2207/30101 (Subject of image; Context of image processing)

Duke University's patent applications in this area focus on innovations in Subject of image; Context of image processing, which are crucial for the company's AI initiatives.

Total Applications Filed: 1
Percentage of AI Portfolio: 33.3%

CPC G06N20/00 (Machine learning)

Duke University's patent applications in this area focus on innovations in Machine learning, which are crucial for the company's AI initiatives.

Total Applications Filed: 1
Percentage of AI Portfolio: 33.3%

CPC G06N3/047 (Probabilistic or stochastic networks)

Duke University's patent applications in this area focus on innovations in Probabilistic or stochastic networks, which are crucial for the company's AI initiatives.

Total Applications Filed: 1
Percentage of AI Portfolio: 33.3%

CPC G06N3/084 (Backpropagation, e.g. using gradient descent)

Duke University's patent applications in this area focus on innovations in Backpropagation, e.g. using gradient descent, which are crucial for the company's AI initiatives.

Total Applications Filed: 1
Percentage of AI Portfolio: 33.3%

AI Patent Categories

Machine Learning

Patents: 2
Percentage: 66.7%
Description: A field of AI focused on algorithms that can learn from and make predictions on data without being explicitly programmed.

Image Processing

Patents: 1
Percentage: 33.3%
Description: AI techniques for processing, analyzing, and understanding images.

Recent Duke University AI Patent Applications

Below are some of the most recent AI-related patent applications filed by Duke University in 2025:

Patent Title	Filing Date	Description
EN FACE RETINAL VESSEL SHADOW VIEW OPTICAL COHERENCE TOMOGRAPHY IMAGES	2025-04-24	A retinal vessel shadow view optical coherence tomography (RVSV-OCT) image can be created by receiving, at an enhanced OCT processing system, volumetric OCT scan of a patient. The system can segment t...
FRAMEWORK AND METHOD FOR MELODY GENERATION	2025-02-13	Methods and system for music generation. One method comprises defining a phrase structure and a metrical layout, and generating a melody based on the phrase structure and the metrical layout using a p...
ELIMINATION CAPABILITY FOR ACTIVE MACHINE LEARNING	2025-01-23	A method of datapoint elimination for an active learning algorithm includes monitoring datapoints in a labeled training dataset as new labeled datapoints are added to the labeled training dataset; det...

Overview of Duke University's AI Patent Strategy

Duke University is renowned not only for its innovative products but also for its strategic approach to AI patent applications. Duke University's patent strategy focuses on protecting its technological advancements in artificial intelligence, machine learning, and related technologies. This strategy helps Duke University maintain a competitive edge and fosters innovation within the industry.

The company's AI patent filings reveal a particular emphasis on Machine Learning, which accounts for approximately 66.7% of their AI-related patents in 2025.

AI Patent Trends

The chart above shows the trend of Duke University's AI patent applications over time, revealing how Duke University has strategically increased its AI patent portfolio over time.

Frequently Asked Questions About Duke University's AI Patent Strategy

What are Duke University's main focus areas in AI patent applications?

Based on patent filing analysis, Duke University's key focus areas include Machine Learning (2 patents), Image Processing (1 patents). These areas represent 100.0% of Duke University's AI-related patent applications.

How many AI-related patents has Duke University filed in 2025?

Duke University has filed 3 AI-related patent applications in 2025 so far.

What is Duke University's most active AI technology area?

The most active area is Machine Learning, with 2 patent applications representing 66.7% of their AI patent portfolio.

How does Duke University protect its AI innovations?

Duke University employs a strategic patent filing approach focused on protecting core AI technologies while also maintaining some trade secrets. Their patent strategy covers both foundational AI methods and specific applications in their product areas.

What types of AI applications is Duke University patenting?

Based on recent patent filings, Duke University is patenting AI applications in Machine Learning, Image Processing, among other areas.

How does Duke University's AI patent strategy compare to competitors?

Analysis of Duke University's patent filings shows an increased focus on Machine Learning and Image Processing compared to industry averages, suggesting a strategic emphasis on these technologies.

What might Duke University's AI patent strategy indicate about future products?

The concentration of patents in Machine Learning and Image Processing suggests Duke University may be developing new products or services that leverage these technologies. This could indicate upcoming features in their existing product lines or entirely new offerings.

Duke University AI Strategy 2025