Samsung electronics co., ltd. (20240381127). METHOD AND DEVICE FOR PROVIDING ARTIFICIAL INTELLIGENCE/MACHINE LEARNING MEDIA SERVICE USING USER EQUIPMENT CAPABILITY NEGOTIATION IN WIRELESS COMMUNICATION SYSTEM simplified abstract
METHOD AND DEVICE FOR PROVIDING ARTIFICIAL INTELLIGENCE/MACHINE LEARNING MEDIA SERVICE USING USER EQUIPMENT CAPABILITY NEGOTIATION IN WIRELESS COMMUNICATION SYSTEM
Organization Name
Inventor(s)
Prasenjit Chakraborty of Bangalore (IN)
METHOD AND DEVICE FOR PROVIDING ARTIFICIAL INTELLIGENCE/MACHINE LEARNING MEDIA SERVICE USING USER EQUIPMENT CAPABILITY NEGOTIATION IN WIRELESS COMMUNICATION SYSTEM - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240381127 titled 'METHOD AND DEVICE FOR PROVIDING ARTIFICIAL INTELLIGENCE/MACHINE LEARNING MEDIA SERVICE USING USER EQUIPMENT CAPABILITY NEGOTIATION IN WIRELESS COMMUNICATION SYSTEM
The abstract describes a method and device for efficiently providing an artificial intelligence/machine learning (AI/ML) media service by a user equipment (UE). This involves receiving configuration information from a network server, performing inferencing for a capability discovery of the UE based on the configuration information, and transmitting a capability metrics of the UE from the network server.
- The method involves receiving configuration information from a network server.
- The configuration information includes details on a trained configuration AI model for checking a capability of the UE.
- Inferencing is performed for a capability discovery of the UE based on the configuration information.
- The network server then transmits a capability metrics of the UE based on the inferencing result.
Potential Applications: - This technology can be applied in various industries where AI/ML media services are utilized. - It can enhance the efficiency and performance of AI/ML applications on user equipment.
Problems Solved: - The technology addresses the need for efficient AI/ML media services on user equipment. - It helps in checking the capability of the UE for split inferencing between the UE and the network server.
Benefits: - Improved efficiency in providing AI/ML media services. - Enhanced capability discovery of the UE. - Streamlined communication between the UE and the network server.
Commercial Applications: Title: Enhanced AI/ML Media Service Provisioning Technology This technology can be commercially used in industries such as telecommunications, healthcare, and finance to optimize AI/ML media services on user equipment. It can lead to improved user experience and operational efficiency.
Questions about AI/ML Media Service Provisioning Technology: 1. How does this technology improve the efficiency of AI/ML media services on user equipment? - This technology enhances efficiency by utilizing a trained configuration AI model to check the capability of the UE and optimize split inferencing between the UE and the network server.
2. What are the potential applications of this technology in different industries? - This technology can be applied in various industries where AI/ML media services are utilized, such as telecommunications, healthcare, and finance, to enhance performance and efficiency.
Original Abstract Submitted
disclosed is a method and device for efficiently providing an artificial intelligence/machine learning (ai/ml) media service by a user equipment (ue), the method including receiving, from a network server, configuration information including information on a trained configuration ai model for checking a capability of the ue associated with a ai split inferencing between the ue and the network server, performing inferencing for a capability discovery of the ue based on the configuration information, and transmitting, from the network server, a capability metrics of the ue based on the inferencing result.
