Korea University Research And Business Foundation AI Strategy 2025
Korea University Research And Business Foundation AI Strategy - 2025
In 2025, Korea University Research And Business Foundation 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 Korea University Research And Business Foundation in different CPC (Cooperative Patent Classification) classes and identifies key technology trends.
Introduction
Korea University Research And Business Foundation'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, Korea University Research And Business Foundation not only strengthens its market position but also fosters continuous innovation in artificial intelligence and related technologies.
To date in 2025, Korea University Research And Business Foundation has filed 14 patent applications related to artificial intelligence technologies.
Key Technology Areas
CPC G06N10/60 (Quantum algorithms, e.g. based on quantum optimisation, quantum Fourier or Hadamard transforms)
Korea University Research And Business Foundation's patent applications in this area focus on innovations in Quantum algorithms, e.g. based on quantum optimisation, quantum Fourier or Hadamard transforms, which are crucial for the company's AI initiatives.
- Total Applications Filed: 2
- Percentage of AI Portfolio: 14.3%
CPC G06N10/20 (Models of quantum computing, e.g. quantum circuits or universal quantum computers)
Korea University Research And Business Foundation's patent applications in this area focus on innovations in Models of quantum computing, e.g. quantum circuits or universal quantum computers, which are crucial for the company's AI initiatives.
- Total Applications Filed: 2
- Percentage of AI Portfolio: 14.3%
CPC G06T7/90 (Determination of colour characteristics)
Korea University Research And Business Foundation's patent applications in this area focus on innovations in Determination of colour characteristics, which are crucial for the company's AI initiatives.
- Total Applications Filed: 2
- Percentage of AI Portfolio: 14.3%
CPC G06N3/08 (Learning methods)
Korea University Research And Business Foundation's patent applications in this area focus on innovations in Learning methods, which are crucial for the company's AI initiatives.
- Total Applications Filed: 1
- Percentage of AI Portfolio: 7.1%
CPC G06N3/0455 (Auto-encoder networks; Encoder-decoder networks)
Korea University Research And Business Foundation's patent applications in this area focus on innovations in Auto-encoder networks; Encoder-decoder networks, which are crucial for the company's AI initiatives.
- Total Applications Filed: 1
- Percentage of AI Portfolio: 7.1%
CPC G06N3/0495 (Temporal neural networks, e.g. delay elements, oscillating neurons or pulsed inputs)
Korea University Research And Business Foundation's patent applications in this area focus on innovations in Temporal neural networks, e.g. delay elements, oscillating neurons or pulsed inputs, which are crucial for the company's AI initiatives.
- Total Applications Filed: 1
- Percentage of AI Portfolio: 7.1%
CPC G06N3/096 (Transfer learning)
Korea University Research And Business Foundation's patent applications in this area focus on innovations in Transfer learning, which are crucial for the company's AI initiatives.
- Total Applications Filed: 1
- Percentage of AI Portfolio: 7.1%
CPC G06N10/40 (Physical realisations or architectures of quantum processors or components for manipulating qubits, e.g. qubit coupling or qubit control)
Korea University Research And Business Foundation's patent applications in this area focus on innovations in Physical realisations or architectures of quantum processors or components for manipulating qubits, e.g. qubit coupling or qubit control, which are crucial for the company's AI initiatives.
- Total Applications Filed: 1
- Percentage of AI Portfolio: 7.1%
CPC G06N3/065 (Analogue means)
Korea University Research And Business Foundation's patent applications in this area focus on innovations in Analogue means, which are crucial for the company's AI initiatives.
- Total Applications Filed: 1
- Percentage of AI Portfolio: 7.1%
CPC G06N3/04 (Architecture, e.g. interconnection topology)
Korea University Research And Business Foundation's patent applications in this area focus on innovations in Architecture, e.g. interconnection topology, which are crucial for the company's AI initiatives.
- Total Applications Filed: 1
- Percentage of AI Portfolio: 7.1%
AI Patent Categories
Machine Learning
- Patents: 6
- Percentage: 42.9%
- Description: A field of AI focused on algorithms that can learn from and make predictions on data without being explicitly programmed.
Other AI
- Patents: 5
- Percentage: 35.7%
- Description: Various AI technologies that don't fall into the main categories above.
Image Processing
- Patents: 2
- Percentage: 14.3%
- Description: AI techniques for processing, analyzing, and understanding images.
Computer Vision
- Patents: 1
- Percentage: 7.1%
- Description: AI systems that can interpret and make decisions based on visual data from the world.
Recent Korea University Research And Business Foundation AI Patent Applications
Below are some of the most recent AI-related patent applications filed by Korea University Research And Business Foundation in 2025:
| Patent Title | Filing Date | Description |
|---|---|---|
| APPARATUS AND METHOD FOR LOGICAL OPERATION UTILIZING JOINT MEASUREMENT | 2025-05-01 | Disclosed is a method for a logical operation performed by a quantum computing device, which may include: placing a data patch in which information is stored and computed, and a first ancilla patch wh... |
| APPARATUS AND METHOD OF IMPLEMENTING A LOGICAL HADAMARD OPERATION USING A BOUNDARY FLIP AND A TRANSFORMATION OF THE SUBSEQUENT MEASUREMENT | 2025-05-01 | Disclosed is a method for a logical operation performed by a quantum computing device, which may include: acquiring a logical qubit in which a physical qubit is encoded with a surface code; when perfo... |
| APPARATUS AND METHOD FOR MANAGING A SPATIAL MODEL AND METHOD THEREOF | 2025-05-01 | Provided is an apparatus and method for managing a spatial model, and a spatial model management apparatus includes a data collector configured to collect dynamic method data including shape and color... |
| MIXED REALITY-BASED ULTRASONIC IMAGE DISPLAY DEVICE, METHOD, AND SYSTEM | 2025-04-03 | An apparatus, method, and system for displaying an ultrasound image based on mixed reality are described. The method of displaying an ultrasound image based on mixed reality according to an exemplary ... |
| IMAGING DEVICE FOR CORRECTING AND RECONSTRUCTING TARGET IMAGE IN SCATTERING MEDIUM USING MULTIPLE SCATTERING TRACING ALGORITHM BASED ON REFLECTION MATRIX AND METHOD THEREOF | 2025-03-20 | Disclosed are an imaging device for correcting and reconstructing a target image in a scattering medium using a multiple scattering tracing algorithm based on a reflection matrix and a method thereof.... |
| INFERENCE MODEL SELECTION METHOD CONSIDERING TASK REQUEST RATE | 2025-03-20 | Disclosed is an inference model selection method and apparatus considering a task request rate. The inference model selection method is performed by a computing device including a processor and includ... |
| BINARIZED NEURAL NETWORK CIRCUITRY USING SILICON-GATED DIODES | 2025-03-06 | The present disclosure relates to a binarized neural network circuitry using silicon-gated diodes. The binarized neural network circuitry according to one embodiment of the present disclosure includes... |
| GENERATIVE INTER-SUBJECT TRANSFER LEARNING APPARATUS AND METHOD THEREOF | 2025-02-27 | A generative inter-subject transfer learning apparatus includes: a data input unit for receiving source data and target data; a preprocessing unit for removing outliers from the source data and augmen... |
| ULTRASONIC TRANSDUCER POSITIONING APPARATUS, ULTRASONIC TRANSDUCER POSITIONING PROGRAM, AND ULTRASONIC TRANSDUCER POSITIONING ARTIFICIAL-INTELLIGENCE IMPLEMENTATION METHOD | 2025-02-06 | The present invention relates to an ultrasonic transducer position setting device, an ultrasonic transducer position setting program, and a method for implementing ultrasonic transducer position setti... |
| DEVICE AND METHOD FOR TRAINING DEEP LEARNING MODEL THAT SUPPORTS MULTI-LEVEL MULTI-LENGTH LATENT VECTORS | 2025-01-30 | Disclosed is a device and method of training a deep learning model capable of using multi-level and multi-length latent vectors. The method of training the deep learning model is performed by a comput... |
Overview of Korea University Research And Business Foundation's AI Patent Strategy
Korea University Research And Business Foundation is renowned not only for its innovative products but also for its strategic approach to AI patent applications. Korea University Research And Business Foundation's patent strategy focuses on protecting its technological advancements in artificial intelligence, machine learning, and related technologies. This strategy helps Korea University Research And Business Foundation 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 42.9% of their AI-related patents in 2025.
AI Patent Trends
The chart above shows the trend of Korea University Research And Business Foundation's AI patent applications over time, revealing periods of concentrated AI patent activity followed by periods of refinement.
Frequently Asked Questions About Korea University Research And Business Foundation's AI Patent Strategy
What are Korea University Research And Business Foundation's main focus areas in AI patent applications?
Based on patent filing analysis, Korea University Research And Business Foundation's key focus areas include Machine Learning (6 patents), Other AI (5 patents), Image Processing (2 patents). These areas represent 92.9% of Korea University Research And Business Foundation's AI-related patent applications.
Korea University Research And Business Foundation has filed 14 AI-related patent applications in 2025 so far.
What is Korea University Research And Business Foundation's most active AI technology area?
The most active area is Machine Learning, with 6 patent applications representing 42.9% of their AI patent portfolio.
How does Korea University Research And Business Foundation protect its AI innovations?
Korea University Research And Business Foundation 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 Korea University Research And Business Foundation patenting?
Based on recent patent filings, Korea University Research And Business Foundation is patenting AI applications in Machine Learning, Other AI, Image Processing, among other areas.
How does Korea University Research And Business Foundation's AI patent strategy compare to competitors?
Analysis of Korea University Research And Business Foundation's patent filings shows an increased focus on Machine Learning and Other AI compared to industry averages, suggesting a strategic emphasis on these technologies.
What might Korea University Research And Business Foundation's AI patent strategy indicate about future products?
The concentration of patents in Machine Learning and Other AI suggests Korea University Research And Business Foundation 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.
See Also
- Korea University Research And Business Foundation Patent Application Trends in 2025
- List of Top AI Patent Filers in 2025
- Artificial Intelligence Patent Trends
- CPC Classification Guide for AI Technologies
This page was last updated on 02 May 2025.