Samsung electronics co., ltd. (20240211726). ARTIFICIAL INTELLIGENCE SERVICE PROVIDING DEVICE, AND OPERATION METHOD THEREFOR simplified abstract
Contents
ARTIFICIAL INTELLIGENCE SERVICE PROVIDING DEVICE, AND OPERATION METHOD THEREFOR
Organization Name
Inventor(s)
Elmurod Talipov of Suwon-si (KR)
Kyoungchoon Park of Suwon-si (KR)
ARTIFICIAL INTELLIGENCE SERVICE PROVIDING DEVICE, AND OPERATION METHOD THEREFOR - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240211726 titled 'ARTIFICIAL INTELLIGENCE SERVICE PROVIDING DEVICE, AND OPERATION METHOD THEREFOR
The abstract describes a method for providing an artificial intelligence service using a device. This involves identifying neural network requirements, selecting a suitable neural network model, obtaining the model, and delivering the AI service through it.
- Identifying neural network requirements for the AI service and device execution environment.
- Selecting a neural network model from a list of preregistered models that meet the requirements.
- Obtaining the chosen neural network model for providing the AI service.
- Delivering the artificial intelligence service through the acquired neural network model.
Potential Applications: - This technology can be applied in various industries such as healthcare, finance, and manufacturing for tasks like image recognition, natural language processing, and predictive analytics.
Problems Solved: - Streamlining the process of selecting and implementing neural network models for AI services. - Enhancing the efficiency and accuracy of artificial intelligence applications on devices.
Benefits: - Improved performance of AI services on devices. - Simplified deployment of neural network models for different purposes. - Enhanced user experience with AI-powered applications.
Commercial Applications: - "Optimizing Neural Network Models for Artificial Intelligence Services on Devices: Market Implications and Commercial Uses"
Questions about the technology: 1. How does this method improve the efficiency of artificial intelligence services on devices? - By selecting and implementing neural network models that meet specific requirements, the method ensures optimal performance of AI services on devices.
2. What are the potential challenges in obtaining and deploying neural network models for AI services? - Challenges may include compatibility issues with device execution environments, the need for continuous updates, and ensuring data privacy and security.
Original Abstract Submitted
a method of providing, by a device, an artificial intelligence service, includes: identifying neural network requirements related to a purpose of the artificial intelligence service and an execution environment of the device; selecting at least one neural network model satisfying the neural network requirements, based on neural network model information about a plurality of preregistered neural network models; obtaining a neural network model for providing the artificial intelligence service, by using the at least one neural network model; and providing the artificial intelligence service through the obtained neural network model.
