18453651. METHOD OF PROVIDING ARTIFICIAL INTELLIGENCE ALGORITHM, OPERATING METHOD OF ARTIFICIAL INTELLIGENCE ALGORITHM, ELECTRONIC DEVICE, RECORDING MEDIUM, AND COMPUTER PROGRAM simplified abstract (Samsung Electronics Co., Ltd.)

METHOD OF PROVIDING ARTIFICIAL INTELLIGENCE ALGORITHM, OPERATING METHOD OF ARTIFICIAL INTELLIGENCE ALGORITHM, ELECTRONIC DEVICE, RECORDING MEDIUM, AND COMPUTER PROGRAM

Organization Name

Samsung Electronics Co., Ltd.

Inventor(s)

Sunghee Lee of Suwon-si (KR)

QHwan Kim of Suwon-si (KR)

Minkyu Kim of Suwon-si (KR)

Bongseok Kim of Suwon-si (KR)

Youngseok Kim of Suwon-si (KR)

Ami Ma of Suwon-si (KR)

Jinkook Park of Suwon-si (KR)

Kyubaik Chang of Suwon-si (KR)

Jaehoon Jeong of Suwon-si (KR)

METHOD OF PROVIDING ARTIFICIAL INTELLIGENCE ALGORITHM, OPERATING METHOD OF ARTIFICIAL INTELLIGENCE ALGORITHM, ELECTRONIC DEVICE, RECORDING MEDIUM, AND COMPUTER PROGRAM - A simplified explanation of the abstract

This abstract first appeared for US patent application 18453651 titled 'METHOD OF PROVIDING ARTIFICIAL INTELLIGENCE ALGORITHM, OPERATING METHOD OF ARTIFICIAL INTELLIGENCE ALGORITHM, ELECTRONIC DEVICE, RECORDING MEDIUM, AND COMPUTER PROGRAM

Simplified Explanation: The patent application describes a method for providing an artificial intelligence algorithm that can analyze semiconductor spectra and structures to calculate out-of-distribution indexes. The algorithm then clusters and samples data sets to create learning data sets for optimal AI algorithm selection.

• Key Features and Innovation:

   - Loading data sets related to semiconductor spectra and structures
   - Calculating out-of-distribution indexes for semiconductors
   - Clustering and sampling data sets for learning data set creation
   - Selecting optimal AI algorithms based on learning data sets

• Potential Applications:

The technology can be applied in semiconductor manufacturing, quality control, and research to improve efficiency and accuracy in analyzing semiconductor data.

• Problems Solved:

This technology addresses the challenges of analyzing complex semiconductor spectra and structures by providing a method to optimize AI algorithms for accurate data analysis.

• Benefits:

The benefits of this technology include improved accuracy in semiconductor analysis, increased efficiency in data processing, and enhanced decision-making in semiconductor-related tasks.

• Commercial Applications:

"Optimizing Artificial Intelligence Algorithms for Semiconductor Analysis" can be used in semiconductor manufacturing companies, research institutions, and quality control labs to streamline data analysis processes and improve overall productivity.

• Prior Art:

Prior research in the field of semiconductor analysis and AI algorithms may provide insights into similar methods or technologies used in this domain.

• Frequently Updated Research:

Stay updated on the latest advancements in AI algorithms for semiconductor analysis, as new research may offer improved techniques or applications for this technology.

Questions about Optimizing Artificial Intelligence Algorithms for Semiconductor Analysis:

1. What are the potential implications of this technology for the semiconductor industry? 2. How does this method compare to traditional approaches in semiconductor data analysis?

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Original Abstract Submitted

Provided are a method of providing an artificial intelligence (AI) algorithm, an operation method of an AI algorithm, an electronic device, a recording medium, and a computer program. The method of providing the AI algorithm includes loading data sets with respect to a spectrum of a semiconductor and a structure of the semiconductor, calculating an out of distribution (OOD) index with respect to the spectrum of the semiconductor, performing data split by clustering sampling the data sets into at least one learning data set with respect to OOD indexes according to semiconductors, and providing an optimal AI algorithm from among a plurality of AI algorithms that have learned the at least one learning data set.