INDUSTRY, INNOVATION AND INFRASTRUCTURE

持続可能な宇宙開発に向け再使用型宇宙輸送システムが待望されており，極超音速空気吸込み式エンジンであるスクラムジェットはその推進機関として有望である．先進的手法を要する設計において，データ駆動型知識発見が設計探査・学術研究の両面で有効である．一方，高い計算コストのために高忠実度でのデータ科学的手法は困難であった．本研究では，深層学習による流動予測を用い，高忠実度・低コストでのデータ駆動型研究を実現す [...]

Circularly polarized luminescence (CPL) is a phenomenon, in which chiral molecules emit right-handed or left-handed circular polarized light. Due to their tunability of wavelength, high color purity, [...]

In my research, I rigorously evaluate whether a neural network behaves as intended for all possible inputs, using a mathematical approach. A major challenge in this work is handling the trade-off betw [...]

Fused cells are known to express new functions which the individual cells do not express before fusion. Therefore, they play an important role in the production of antibody therapeutics and cell repro [...]

The objective of this study is to examine the effects of semantic information projected onto real-world objects on visual working memory. Recent findings suggest that objects are more readily recalled [...]

This research aims to build a theoretical foundation to test the quantum nature of gravity by investigating whether quantum entanglement can be generated between two objects solely through gravitation [...]

Using SLAM combined with large language models (LLMs) to enable underwater drones to perform multi-purpose tasks

Department of Information Science and Technology, Graduate School of Information Science and Electrical Engineering

This research aims to develop an innovative underwater drone system by combining SLAM (Simultaneous Localization and Mapping) technology with Large Language Models (LLMs) to address challenges in mari [...]

This research aims to develop a system that predicts and alerts bioinformation such as blood glucose levels in real-time by implementing Echo State Networks (ESN), which excel in time-series signal pr [...]

Advanced Flow Prediction of Scramjet Intakes and Data-Driven Knowledge Discovery

Creation and application of near-infrared circularly polarized luminescent materials based on cyclic arrangement of functional organic molecules

Realizing Practical Neural Networks Verification

Generation of two cell encapsulated droplet based on on-chip local fluid manipulation

Influence of the meaning projected onto objects in the real world on working memory

Optimizing Entanglement Generation to Test the Quantum Nature of Gravity

Using SLAM combined with large language models (LLMs) to enable underwater drones to perform multi-purpose tasks

Bioinformation Processing System Using Reservoir Computing

“Future-Creation (MIRAI)” Course Kyushu University SPRING program