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Construction stats inflated by 4 trillion yen in fiscal 2020 | The Asahi Shimbun: Breaking News, Japan News and Analysis

Although some Cabinet ministers have downplayed the dodgy collection of construction contract data, their value was artificially increased by about 4 trillion yen ($35 billion), or 5 percent, in fiscal 2020, according to Asahi Shimbun calculations.

Twelfth century literature and space-age data help map 3,000 years of auroras -- Science & Technology -- Sott net

Renewal of academic information system after 36 years

Credit: © National Institute of Informatics National Institute of Informatics (NII; Director General: Dr. KITSUREGAWA Masaru, Tokyo, Japan) has begun reconstruction of NACSIS-CAT/ILL, a catalog information service used by more than 1,300 institutions, mainly university libraries. This project is based on The Vision on Future Scholarly Information Systems (2019) , which was published by the Future Scholarly Information Systems Committee 1 under the Council for Promoting Collaboration between University Libraries and the National Institute of Informatics 2. The project will be implemented by coordinating with library systems of the user libraries, with a view to establishing a library system and network which will handle digitized resources, such as electronic journals and eBooks (Figure 1).

Observation, Simulation, and AI Join Forces to Reveal a Clear Universe

Date Time Observation, Simulation, and AI Join Forces to Reveal a Clear Universe Artist’s visualization of this research. Using AI driven data analysis to peel back the noise and find the actual shape of the Universe. (Credit: The Institute of Statistical Mathematics) Japanese astronomers have developed a new artificial intelligence (AI) technique to remove noise in astronomical data due to random variations in galaxy shapes. After extensive training and testing on large mock data created by supercomputer simulations, they then applied this new tool to actual data from Japan’s Subaru Telescope and found that the mass distribution derived from using this method is consistent with the currently accepted models of the Universe. This is a powerful new tool for analyzing big data from current and planned astronomy surveys.

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