Advanced Computing, Edge 


Data Analysis, Advanced AI / Deep Learning

Data science is the cornerstone of our research including latest AI (Artificial Intelligence) area developments that is big data processing of data mining, machine learning and deep learning typically. It also includes structure/unstructured data analysis, simulation/ modeling and AR/ VR technology as core targets. Medical image data communication for preventive / predictive healthcare is major theme. Also power generation and energy use data is another main focus. In addition, business and housing space surveillance, and monitoring system for environmental protection, the importance of the storage system has increased due to the large amount of data.

In particular, it deals with data processing software, basic technology of AI, and the general solution across sectors including Enterprise AI.


Cloud Computing, Edge Processing

Cloud-based computer network models have been proven especially effective during natural disasters in terms of data storage. Energy saving by data centers utilizing IT technologies that make full use of alternative energy is common. In cloud computing, the service model on the terminal side becomes important during the development stage of competing applications on the infrastructure platform. The Cloud is the foundation that makes it expandable and expeditious for its various developments. Together with edge computing, cloud computing has been increasingly premised.

At the same time, it would be ideal if AI processing would be completed at the site. There is also a movement called Microservices Architecture.

The idea of "Changing the World Using IT technology" (University of California, Berkeley) has become increasingly important as IT technologies and systems responsible for the social infrastructure.



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