18355454. COMPUTER-READABLE RECORDING MEDIUM HAVING STORED THEREIN MACHINE LEARNING PROGRAM, MACHINE LEARNING METHOD, AND INFORMATION PROCESSING APPARATUS simplified abstract (Fujitsu Limited)
Contents
- 1 COMPUTER-READABLE RECORDING MEDIUM HAVING STORED THEREIN MACHINE LEARNING PROGRAM, MACHINE LEARNING METHOD, AND INFORMATION PROCESSING APPARATUS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 COMPUTER-READABLE RECORDING MEDIUM HAVING STORED THEREIN MACHINE LEARNING PROGRAM, MACHINE LEARNING METHOD, AND INFORMATION PROCESSING APPARATUS - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
COMPUTER-READABLE RECORDING MEDIUM HAVING STORED THEREIN MACHINE LEARNING PROGRAM, MACHINE LEARNING METHOD, AND INFORMATION PROCESSING APPARATUS
Organization Name
Inventor(s)
Satoko Iwakura of Kawasaki (JP)
COMPUTER-READABLE RECORDING MEDIUM HAVING STORED THEREIN MACHINE LEARNING PROGRAM, MACHINE LEARNING METHOD, AND INFORMATION PROCESSING APPARATUS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18355454 titled 'COMPUTER-READABLE RECORDING MEDIUM HAVING STORED THEREIN MACHINE LEARNING PROGRAM, MACHINE LEARNING METHOD, AND INFORMATION PROCESSING APPARATUS
Simplified Explanation
The patent application describes a machine learning program that compares relationship information pieces from two different AI systems, determines priorities based on the comparison results, and outputs a checklist for the first AI system based on these priorities.
- The program compares relationship information pieces from two AI systems
- It determines priorities for the relationship information pieces based on the comparison results
- It outputs a checklist for the first AI system based on the determined priorities
Potential Applications
This technology could be applied in various industries where AI systems are used for decision-making processes, such as healthcare, finance, and manufacturing.
Problems Solved
This technology helps streamline the decision-making process of AI systems by prioritizing relationship information pieces and providing a checklist for efficient operation.
Benefits
The benefits of this technology include improved efficiency and accuracy in decision-making processes, better utilization of AI systems, and enhanced overall performance.
Potential Commercial Applications
One potential commercial application of this technology could be in the development of AI-powered software tools for businesses looking to optimize their decision-making processes.
Possible Prior Art
One possible prior art for this technology could be existing machine learning programs that compare and prioritize data for decision-making purposes.
What are the potential limitations of this technology in real-world applications?
One potential limitation of this technology in real-world applications could be the complexity of integrating it into existing AI systems and workflows.
How does this technology compare to similar solutions on the market?
This technology stands out from similar solutions on the market by its specific focus on comparing relationship information pieces from different AI systems and determining priorities for decision-making processes.
Original Abstract Submitted
A computer-readable recording medium has stored therein a machine learning program executable by one or more computers, the machine learning program including: an instruction for comparing a first plurality of relationship information pieces with a second plurality of relationship information pieces, the first plurality of relationship information pieces being determined in terms of an inputted configuration of a first Artificial Intelligence (AI) system and each including a plurality of attributes, the second plurality of relationship information pieces being determined in terms of a second AI system; an instruction for determining priorities of the first plurality of relationship information pieces, the priorities being based on a result of the comparing; and an instruction for outputting, as a checklist of the first AI system, one or more check items selected in accordance with the determined priorities from among a plurality of check items associated with the plurality of attributes.
