Faculty Profiles - MORIE Takashi

Papers - MORIE Takashi

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A VLSI Spiking Neural Network with Symmetric STDP and Associative Memory Operation Reviewed

F. Maldonado H., H. Tanaka, T. Matsuo, T. Morie, K. Aihara

18th Int. Conf. on Neural Information Processing (ICONIP2011) III ( 7064 ) 381 - 388 2011.11

知的画像認識技術と脳型LSI実装 Invited Reviewed

森江隆, 石川聖二

電子情報通信学会誌 94 ( 6 ) 459 - 463 2011.06

アナログ・デジタル融合方式LSI技術による脳型視覚システム Invited Reviewed

森江隆

IEICE Fundamentals Review 1 ( 1 ) 19 - 29 2007.07

A Hippocampus-Inspired Environment-Specific Knowledge Acquisition System Utilizing Common Knowledge with Contextual Information Reviewed International journal

Akinobu Mizutani, Yuichiro Tanaka, Hakaru Tamukoh, Osamu Nomura, Katsumi Tateno, Takashi Morie

International Joint Conference on Neural Networks (IJCNN 2024) 2024.06

CMOS Digital-Analog Mixed Signal VLSI Implementation of a Hippocampus-Inspired Model Reviewed International journal

Yuka Shishido, Osamu Nomura, Katsumi Tateno, Hakaru Tamukoh, Takashi Morie

International Joint Conference on Neural Networks (IJCNN 2024) 2024.06

Enhancing Memory Capacity of Reservoir Computing with Delayed Input and Efficient Hardware Implementation with Shift Registers Reviewed International journal

Soshi Hirayae, Kanta Yoshioka, Atsuki Yokota, Ichiro Kawashima, Yuichro Tanaka, Yuichi Katori, Osamu Nomura, Takashi Morie, Hakaru Tamukoh

International Symposium on Circuits and Systems (ISCAS 2024) 2024.05

Learning reservoir dynamics with temporal self-modulation Reviewed International journal

Sakemi Y., Nobukawa S., Matsuki T., Morie T., Aihara K.

Communications Physics 7 ( 29 ) 1 - 11 2024.01

Robust Binary Encoding for Ternary Neural Networks Toward Deployment on Emerging Memory Reviewed International journal

Ninnart Fuengfusin, Hakaru Tamukoh, Osamu Nomura, Takashi Morie

International Joint Conference on Neural Networks (IJCNN 2024) 2024.06

FPGA Implementation of a Chaotic Boltzmann Machine Annealer Reviewed International journal

K. Yoshioka, Y. Katori, Y. Tanaka, O. Nomura, T. Morie

International Joint Conference on Neural Networks (IJCNN 2023) 2023.06

Efficient Repetition Coding for Deep Learning Towards Implementation Using Emerging Non-volatile Memory with Write-errors Reviewed International journal

N. Fuengfusin, H. Tamukoh, Y. Tanaka, O. Nomura, T. Morie

International Joint Conference on Neural Networks (IJCNN 2023) 2023.06

Random Network Structure of Materials Developing Next Generation AI Devices for Autonomous Robotics Invited International journal

H. Tanaka, H. Tamukoh, T. Morie

239th ECS Meeting with the 18th International Meeting on Chemical Sensors (IMCS) 2021.06

A hardware intelligent processing accelerator for domestic service robots Reviewed

Y. Ishida, T. Morie, H. Tamukoh

Advanced Robotics 2020.07

Initial states and analog switching behaviors of two major tantalum oxide resistive memories Reviewed International journal

Li Y., Tsurumaki-Fukuchi A., Arita M., Morie T., Takahashi Y.

Japanese Journal of Applied Physics 59 ( 4 ) 2020.04

Reconstructing bifurcation diagrams only from time-series data generated by electronic circuits in discrete-time dynamical systems Reviewed

Itoh Y., Uenohara S., Adachi M., Morie T., Aihara K.

Chaos 30 ( 1 ) 2020.01

FPGA Implementation of Reservoir Computing Based on Pseudo-Billiard Dynamics in Hypercube

YAMAMOTO Daichi, KATORI Yuichi, TAMUKOH Hakaru, MORIE Takashi, KATORI Yuichi

Proceedings of the Annual Conference of JSAI ( The Japanese Society for Artificial Intelligence ) 2020 ( 0 ) 3Rin422 - 3Rin422 2020.01

Language：Japanese Publishing type：Research paper (other academic)

<p>Reservoir computing (RC) is one of the frameworks of the recurrent neural network (RNN) and is applied to processing of time series data. The implementation of machine learning and neural networks generally demands large computational resources (or circuit resource) and power. Katori et al. proposed a reservoir computing model based on pseudo-billiard dynamics on a hypercube. This hypercube-based reservoir computing (HRC) can be implemented with less circuit resource and with low power consumption. In this study, we improve the HRC model based on the hardware-oriented algorithm that reduces the circuit resource consumption in digital circuit implementation with Field Programmable Gate Array (FPGA). We evaluate the proposed model with time series generation tasks and confirm that the accuracy of the time-series generation is comparable with the previously proposed model. This research may enhance the ability of RC and contribute to establish a new platform for artificial intelligence.</p>

DOI： 10.11517/pjsai.JSAI2020.0_3Rin422

CiNii Article

Other Link： https://ci.nii.ac.jp/naid/130007857093

Hippocampus Model for Episodic Memory Processing Using Associative Memory Reviewed

立野勝巳, 森江隆

The proceedings of NOLTA2020 - 138 2020.01

Prediction of Sensory Information and Generation of Motor Commands for Autonomous Mobile Robots Using Reservoir Computing Reviewed International journal

M. Inada, Y. Tanaka, H. Tamukoh, K. Tateno, T. Morie, Y. Katori

Proc. of the 2019 Int. Symp. on Nonlinear Theory and its Applications (NOLTA2015) 2019.12

脳型人工知能技術の開発 Invited

2019.11

Switching current of Ta<inf>2</inf>O<inf>5</inf>-based resistive analog memories Reviewed

Li Y., Tsurumaki-Fukuchi A., Arita M., Morie T., Takahashi Y.

2019 Silicon Nanoelectronics Workshop, SNW 2019 2019.06

Research and Development of Home Service Robots Aiming for Social Implementation

ONO Tomohiro, SAKATA Takuma, YOSHII Takumi, KAMIMURA Daichi, KANAMARU Kazuki, NAKAMURA Kentaro, NISHIMURA Yuta, MORIE Takashi, TAMUKOH Hakaru, HORI Sansei, ISHIDA Yutaro, TANAKA Yuichiro, YOSHIMOTO Yuma, ABE Yushi, MUTO Fuyuki, KABASHIMA Kohei, FUKUYADO Masashi

The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) ( The Japan Society of Mechanical Engineers ) 2019 ( 0 ) 1P2 - I02 2019.01

Language：Japanese Publishing type：Research paper (other academic)

<p>Home service robots have begun attracting attention due to decreasing birthrate and increasing aging population. We,"Hibikino-Musashi@Home"team, develop home service robots, and participate international competitions; RoboCup@Home and World Robot Challenge (WRC), which are established to realize that robots will work and live with people in domestic environments. In this paper, we introduce our robots and technologies, especially an object recognition and manipulation system. We use You Only Look Once (YOLO) for object recognition. To train YOLO, a big dataset which is difficult to prepare in a short term is required. For this, we develop an automatic annotation system for YOLO which can generate 1.7 million training data, and we can complete training of YOLO in a day. To grasp objects, estimation of object orientations is required. Our system can detect the orientations by processing point clouds of objects. By using the system, we obtained about 30% of scores in Tidy Up Task in the WRC.</p>

DOI： 10.1299/jsmermd.2019.1P2-I02

CiNii Article

Other Link： https://ci.nii.ac.jp/naid/130007774525

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