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AEI

AEI(Artifitial Elastic Intelligence)

Mr. Nagata, Executive Vice President of pluszero, will talk about AEI, which pluszero is focusing on, and the future that pluszero wants to realize by using AEI.

While we acknowledge that current AI technology will continue to solve many of the world's problems, understanding and interpreting the meaning of information and phenomena is difficult with the extension of existing approaches.
In this context, we are aiming to spark the fourth AI boom with our unique concept of Artifitial Elastic Intelligence (AEI).

Services that embody AEI: Virtual staffing

The service that can be realized by embodying AEI technology is "virtual staffing". This is a service in which a machine understands language like a human, and can communicate with the user to improve mutual understanding, while executing tasks tailored to the user's needs and efficiently executing the PDCA cycle.

Specifically, we believe that next-generation chatbots and automation of administrative tasks can be realized.

Realizing the Next Generation Chatbot Call Center

Study of application to specific industries and operations for high levels of comprehension and automated levels of communication
Difficulty level ★★★☆☆

Automation of compliance checks

Automated compliance checking of internal and product/service related items based on relevant regulations and company rules
Difficulty level ★★★★☆

Automation of Software test

Automatic interpretation of software test items and automatic execution of tests including GUI
Difficulty level ★★★★☆

Automation of paperwork

Automated execution of light work completed by computer screen operation & communication.
Difficulty level ★★★★★

Automation of quality check testing

Automatic interpretation of quality control items for real products such as hardware and automatic execution of tests involving drawings and real products.
Difficulty level ★★★★☆

Monitoring and care by robots

Communication and simple tasks in the nursing care field by providing OEM intelligent parts to existing robots
Difficulty level ★★★★★

A roadmap for the realization of virtual staffing

In order to realize virtual staffing, we believe it is important to develop N4 and PSF data, which are the core technologies of virtual staffing, as well as the personalization summary to be realized by combining these technologies. On March 29, 2021, we filed a patent application for "virtual staffing" that includes these technologies.

Because "virtual staffing" is not something that can be realized in a short period, and because the market to which it can be applied is large, we will not tackle it alone, but will continue to develop it with partner companies that are currently major players in the market.

On April 15, 2021, we held a media roundtable in Tokyo to explain the vision of "virtual staffing".

Core technologies for the realization of virtual staffing

The following core technologies are being developed for the realization of virtual staffing.

1.PSF Data

PSF Data is a frame database with a high resolution of semantic representation, and refers to a collection of knowledge including case frames and ontological information. We aim to create a database in which information and knowledge is dynamically updated based on emotions, thoughts, and purposes, using information from all sensors (senses) as input, just like "the brain".

2.N4 (Neo Non-loss Normalized Network)

N4 is a unique semantic representation, and by transforming natural language into a unique semantic representation and utilizing various algorithms, it is possible to transform the input natural language into a form that can be easily applied to various algorithms without losing the meaning of the input natural language.



3.Personalized summarization

This is a technology that enables AI to "understand the other person" and "speak in the language that suits the other person". It enables paraphrasing according to the available vocabulary of the dialogue partner and the user. This is the world's first core technology that supports virtual staffing.