View source for 18355454. COMPUTER-READABLE RECORDING MEDIUM HAVING STORED THEREIN MACHINE LEARNING PROGRAM, MACHINE LEARNING METHOD, AND INFORMATION PROCESSING APPARATUS simplified abstract (Fujitsu Limited)

=COMPUTER-READABLE RECORDING MEDIUM HAVING STORED THEREIN MACHINE LEARNING PROGRAM, MACHINE LEARNING METHOD, AND INFORMATION PROCESSING APPARATUS=


==Organization Name==

[[:Category:Fujitsu Limited|Fujitsu Limited]]


[[Category:Fujitsu Limited]]

==Inventor(s)==

[[:Category:Satoko Iwakura of Kawasaki (JP)|Satoko Iwakura of Kawasaki (JP)]][[Category:Satoko Iwakura of Kawasaki (JP)]]

[[:Category:Izumi Nitta of Kawasaki (JP)|Izumi Nitta of Kawasaki (JP)]][[Category:Izumi Nitta of Kawasaki (JP)]]

[[:Category:Kyoko Ohashi of Fuchu (JP)|Kyoko Ohashi of Fuchu (JP)]][[Category:Kyoko Ohashi of Fuchu (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.



[[Category:G06Q10/0635]]
[[Category:G06N20/00]]