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中嶋研究室 / Nakajima Lab​

 

東京大学大学院 情報理工学系研究科 情報理工学教育研究センター 次世代知能科学研究部門
東京大学 連携研究機構 次世代知能科学研究センター(AIセンター)(兼務)
東京大学大学院 情報理工学系研究科 先端人工知能学教育寄付講座(兼務)
東京大学大学院 情報理工学系研究科 創造情報学専攻(兼担)

Next Generation Artificial Intelligence Research Center (AI Center),
The University of Tokyo

Chair for Frontier AI Education, Graduate School of Information Science and Technology,

The University of Tokyo

Department of Creative Informatics, Graduate School of Information Science and Technology,
The University of Tokyo

東京都文京区本郷7-3-1

7-3-1 Hongo, Bunkyo-ku, 113-8656 Tokyo, Japan

Email: k_nakajima[at]mech.t.u-tokyo.ac.jp

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Information,

Dynamics,

Computation,...

 

Soft Robotics,

Physical Reservoir Computing,...

中嶋研究室へようこそ!

 

東京大学大学院情報理工学系研究科創造情報学専攻の研究室として発足しました。
中嶋研究室では、特任研究員、大学院生(博士課程・修士課程)を募集しています。
興味のある方は、メールにてご連絡ください。

 


Welcome to Nakajima Lab!

 

Our lab is diverse and interdisciplinary. 
Prospective students/postdocs are encouraged to email k_nakajima@mech.t.u-tokyo.ac.jp for more details.

Reservoir Computing Seminarを開催しています

 

2021年度秋学期のReservoir Computing Seminarを10月7日より開催します。
Reservoir Computingを中心に、
ソフトロボティクス、カオス力学系、スピントロニクス、量子機械学習などの
研究発表やジャーナルクラブを行います。
参加を希望される方は、メールにてご連絡ください。
現在は、zoomによる参加となります。

We are starting the reservoir computing (RC) seminar for this autumn semester from 7th of October.

The seminar will be on zoom and cover RC approaches to soft robotics, nonlinear dynamics including chaos, spintronics, quantum machine learning.

If you are interested in joining the seminar, please contact k_nakajima@mech.t.u-tokyo.ac.jp for more details.

2021/12/02

Open session in RC seminar!

date: 2021/12/02

time: 19:00-21:00 (Japan time)

speaker: Prof. Masayuki Ushio (Kyoto Univ., Hakubi)

title: Computational capability of ecological dynamics

abstract:

Ecological dynamics is driven by an ecological network consisting of complex interactions. Information processing capability of artificial networks has been exploited as a computational resource, yet whether an ecological network possesses a computational capability and how we can exploit it remain unclear. In this talk, we will show that ecological dynamics can be exploited as a computational resource. We call this approach “Ecological Reservoir Computing” (ERC) and developed two types of ERC.

In silico ERC reconstructs ecological dynamics from empirical time series and uses simulated system responses as reservoir states, which predicts near future of chaotic dynamics and emulates nonlinear dynamics. The real-time ERC uses real population dynamics of a unicellular organism, Tetrahymena thermophila. Medium temperature is an input signal and changes in population abundance are reservoir states. Intriguingly, the real-time ERC has necessary conditions for reservoir computing and is able to make near future predictions of model and empirical time series. Our finding that ecological dynamics possess computational capability poses new research questions for computational science and ecology: how can we efficiently exploit it and how is it actually used, evolved and maintained in an ecosystem?

 

references:

bioRxiv preprint: https://doi.org/10.1101/2021.09.15.460556

Supplementary Video 1: https://youtu.be/z_QeEka4W3w

Supplementary Video 2: https://youtu.be/SUmkYAnfjFk

*This session will be open to public.

If you are interested in joining the seminar, please contact k_nakajima@mech.t.u-tokyo.ac.jp for more details.

Looking forward to your participation!