18752402. METHODS AND DEVICES FOR MANAGING COMMUNICATION OF ARTIFICIAL INTELLIGENCE DATA BETWEEN DEVICES simplified abstract (SAMSUNG ELECTRONICS CO., LTD.)

METHODS AND DEVICES FOR MANAGING COMMUNICATION OF ARTIFICIAL INTELLIGENCE DATA BETWEEN DEVICES

Organization Name

SAMSUNG ELECTRONICS CO., LTD.

Inventor(s)

Chandrashekhar S Byadgi of Bengaluru (IN)

Kartik Anand of Bengaluru (IN)

Praveen Naik S of Bengaluru (IN)

Ashish Kumar of Bengaluru (IN)

Srinidhi N of Bengaluru (IN)

Ramesh Babu Venkat Dabbiru of Bengaluru (IN)

Jyotirmoy Karejee of Bengaluru (IN)

Siva Prased Gundur of Bengaluru (IN)

Eric Ho Ching Yip of Suwon-si (KR)

METHODS AND DEVICES FOR MANAGING COMMUNICATION OF ARTIFICIAL INTELLIGENCE DATA BETWEEN DEVICES - A simplified explanation of the abstract

This abstract first appeared for US patent application 18752402 titled 'METHODS AND DEVICES FOR MANAGING COMMUNICATION OF ARTIFICIAL INTELLIGENCE DATA BETWEEN DEVICES

The present disclosure involves methods and devices for managing communication of Artificial Intelligence (AI) data between devices in a computing environment.

• Detecting changes in data values between current and previously generated data frames.
• Generating data chunks of an updated data frame based on these changes using codec techniques.
• Transmitting data chunks to receiver devices based on specified chunk sizes.

Potential Applications: - Data compression and efficient data transmission in AI systems. - Real-time data updates and synchronization between devices.

Problems Solved: - Efficient management of AI data communication. - Reduction of data transmission overhead.

Benefits: - Improved data transfer efficiency. - Enhanced synchronization of AI data between devices.

Commercial Applications: Title: "Efficient AI Data Communication for Improved System Performance" This technology can be used in industries such as IoT, robotics, and autonomous vehicles for seamless data communication and synchronization.

Prior Art: Researchers can explore existing patents related to data compression, data synchronization, and AI communication protocols.

Frequently Updated Research: Stay updated on advancements in AI data communication protocols, data compression techniques, and real-time data synchronization methods.

Questions about AI Data Communication: 1. How does this technology improve data transfer efficiency in AI systems? - This technology optimizes data transmission by detecting and transmitting only the necessary data changes, reducing overhead.

2. What are the potential challenges in implementing this AI data communication method? - Challenges may include ensuring compatibility with different devices and optimizing codec techniques for various data types.

Original Abstract Submitted

The present disclosure relates to methods and devices for managing communication of Artificial Intelligence (AI) data between devices in a computing environment. Detecting one or more sets of changes in data values associated with current data frame based on comparison between current data frame and previously generated data frame. Further, performing generation of one or more data chunks of an updated data frame, comprising one or more data segments based on the one or more sets of changes, based on one of, a first codec technique and second codec technique. Transmitting one or more data chunks to one or more receiver devices based on the respective data chunk satisfying a specified chunk size. Transmitting the one or more data chunks generated for updated data frame to one or more receiver devices based on respective data chunk satisfying a specified chunk size.