SUURI-COOL (Kyushu)
3 イベント
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セミナー 明日開催
Topological Image Analysis
2025年12月25日(木) 12:00 - 13:00
鍛冶 静雄 (九州大学 マス・フォア・インダストリ研究所 教授)
Topological Data Analysis (TDA) applies algebraic topology to the study of data such as point clouds. When applied to image and volumetric data, TDA provides a way to capture the topological features that characterise shapes and spatial structures. In this talk, I will outline the strengths and limitations of TDA for image analysis, and compare its capabilities with those of deep neural networks. I will also present hands-on examples using our open-source software Cubical Ripser. Finally, I will highlight a new direction in the use of TDA for image processing.
会場: SUURI-COOL (Kyushu) C501（九州大学 伊都キャンパス West 1号館 D棟） (メイン会場) / via Zoom
イベント公式言語: 英語
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セミナー
Modeling form growth in curved spaces using Riemannian L-systems
2025年7月17日(木) 16:00 - 17:30
Christophe Godin (Research Derector, Inria, Univ Lyon, France)
In the past 50 years, the formalism of L-systems has been successfully used and developed to model the growth of filamentous and branching biological forms. These simulations take place in classical 2-D or 3-D Euclidean spaces. However, various biological forms actually grow in curved, non-Euclidean, spaces. This is for example the case of vein networks growing within curved leaf blades, of unicellular filaments, such as pollen tubes, growing on curved surfaces to fertilize distant ovules, of teeth patterns growing on folded epithelia of animals, of diffusion of chemical or mechanical signals at the surface of plant or animal tissues, etc. In this talk, I will describe how we extended the formalism of L-systems to model the growth of branching structures in curved spaces. We will discuss how the space may feedback on the growing form and contribute to shape. I will also look at examples, where the space in which the form is growing is not necessarily a surface embedded in the euclidean 3-dimensional space, but is rather a space intrinsically curved, i.e. curved but not embedded in any higher-dimensional space. The possibility to use these more abstract Riemannian spaces potentially opens new avenues for formalizing rules driving the morphogenesis of living forms.
会場: via Zoom / SUURI-COOL (Kyushu)
イベント公式言語: 英語
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講演会・レクチャー
SUURI-COOL (Kyushu) Lecture
2019年7月31日(水) - 8月2日(金)
土井 琢身 (理化学研究所 数理創造プログラム (iTHEMS) 専任研究員 / 理化学研究所 仁科加速器科学研究センター (RNC) 量子ハドロン物理学研究室 専任研究員)
SUURI-COOL (Kyushu) at the Ito-campus of Kyushu Univ. will be launched on July 31, 2019. As a first event at SUURI-COOL (Kyushu), the following lecture by Takumi Doi (RIKEN Nishina Center/iTHEMS) will be held. Feel free to join if you will be around Ito-campus. Nuclei, many-body systems of baryons as protons and neutrons, are ultimately consist of elementary particles of quarks and gluons and their properties are governed by quantum chromodynamics (QCD). Recently, a new theoretical method is developing in lattice QCD, the first-principles calculation of QCD, and the new era is dawning where nuclear physics is constructed directly based on QCD. In this lecture, I first introduce the formulation of lattice QCD. I will then discuss the theoretical foundation and the latest numerical results about the lattice QCD study of hadron interactions, the key quantities to construct nuclear physics from QCD. I will also give a lecture on computational science, in particular, about supercomputers.
会場: SUURI-COOL (Kyushu)
イベント公式言語: 英語
3 イベント