「Tokyo Tech Bulletin（トーキョー テック ブリテン）」は、東京工業大学の研究成果やニュース記事、学生の活動などを紹介し国内外へ広く配信する英文メールニュースです。
この度、Tokyo Tech Bulletin No. 47が発行されました。
Scientists at Tokyo Tech used synthetic-aperture radar data from four different satellites, combined with statistical methods, to determine the structural deformation patterns of the largest bridge in Iran.
By unleashing the power of big data and statistical physics, researchers in Japan have developed a model that aids understanding of how and why financial Brownian motion arises.
A study led by Tokyo Tech researchers has uncovered new ways of driving multi-legged robots by means of a two-level controller. The proposed controller uses a network of so-called non-linear oscillators that enables the generation of diverse gaits and postures, which are specified by only a few high-level parameters. The study inspires new research into how multi-legged robots can be controlled, including in the future using brain-computer interfaces.
An often-wondered question about evolution is 'Where do new forms and functions come from?' Understanding the source of novelty in evolution is key to understanding how life got from its simplest precursors to the complex panoply of biodiversity we observe in the world today.