New Institute to Use AI to Analyze Global Research Data; Aims to Identify Trends in Vital Areas of Science, Technology
The institute for critical technology strategy set to be established this autumn will use AI to gather and analyze massive amounts of research data — including information on public bids for research projects in other countries and unreviewed research papers — according to an activity plan obtained by The Yomiuri Shimbun.
A new institute, set to launch in the autumn, plans to employ artificial intelligence to scrutinize vast amounts of research data from around the globe. The institute's primary objective is to pinpoint emerging trends in critical fields of science and technology, aiding in the formulation of policies to enhance industrial competitiveness and economic security.
Under the direction of the Cabinet Office, this institute will be a joint venture of the Institute for Future Engineering, the Institute of Science Tokyo, and Hokkaido University.
The government's motivation for establishing this institute stems from the escalating global competition in research, which has made it increasingly vital to detect early indicators of significant technological advancements. To accomplish this, the institute will gather an extensive array of data sources, such as foreign governments' public bids for research projects, patent applications, unreviewed papers, procurement information, and job recruitment details.
By leveraging AI to process this colossal dataset, the institute will discern global tendencies in technological progress and shifts in vital investment sectors across different countries. Subsequently, it will utilize this information to furnish policy suggestions to the government. The institute's focus areas encompass essential future materials and technologies, including advanced semiconductor materials for AI applications and cooling technologies essential for the operation of quantum computers.
Written by urgent.news from The Japan News by The Yomiuri Shimbun's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
