Keiichiro Kagawa

Charge-domain computational image sensors for measuring the real world in the sub-nano-second regime

Grant No.：JPMJCR22C1

Research Director

Keiichiro Kagawa

Collaborator

Kazuhiro Shimonomura	Professor College of Science and Engineering Ritsumeikan University
Hajime Nagahara	Professor D3 Center The University of Osaka
Daisuke Miyazaki	Associate Professor Graduate School of Engineering Osaka Metropolitan University
Keita Yasutomi	Associate Professor Research Institute of Electronics Shizuoka University

Outline

We propose a new ultrafast and efficient paradigm where sensing and processing are deeply combined although they are separately prepared in conventional camera systems. Charge-domain computational image sensors are key, which work as the input layer of the deep neural network (DNN) and the first few layers of the convolutional neural network (CNN) to perform temporal correlation and spatial filtering with charge manipulation. Only meaningful information is extracted by reducing the amount of data and passed to the following layers of DNN.

Makoto Kohda

Solid-state based multiple information systems utilizing wave-like information carriers

Grant No.：JPMJCR22C2

Research Director

Makoto Kohda

Collaborator

Tetsuya Uemura	Professor Faculty of Information Science and Technology Hokkaido University
Atsushi Koike	Associate Professor Graduate School of Information Sciences Tohoku University
Takeshi Seki	Professor Institute of Materials Research Tohoku University
Yasushi Yuminaka	Professor Graduate School of Science and Technology Gunma University

Outline

Using III-V semiconductor quantum structures and their hybrid structures with ferromagnetic materials, we will construct a transducer that converts polarization-multiplexed optical information into electron spin waves . Then, based on this technological foundation, we will perform wave-based logic operation. Furthermore, by constructing an interconversion from electron spin waves to magnons, we will establish a multiplexed information processing system that can utilize the wave nature in the entire system.

Yukiko Takahashi

Development of thermal management multi-level magnetic recording system

Grant No.：JPMJCR22C3

Research Director

Yukiko Takahashi

Collaborator

Yoshihiro Okamoto	Professor Graduate School of Science and Engineering Ehime University
Simon Greaves	Associate Professor Research Institute of Electrical Communication Tohoku University
Toshiyuki Koyama	NIMS Invited Researcher Research Center for Structural Materials National Institute for Materials Science
Hirofumi Suto	Senior Researcher Research Center for Magnetic and Spintronic Materials National Institute for Materials Science
Hossein Sepehri-Amin	Group Leader Research Center for Magnetic and Spintronic Materials National Institute for Materials Science

Outline

To realize a multi-level magnetic recording system using heat, we carry out the research for the development of 3 dimensional (3D)-FePt media, magnetization reversal control of 3D media, and signal processing technology. In the development of 3D-FePt media, a media simulator will be constructed, aiming at a density of 8 Tbit/in. The magnetization dynamics of the 3D medium will be clarified by layer-resolved dynamics measurements, and the material design for highly efficient magnetization reversal will be carried out. We also develop signal processing methods and error correcting codes to decode multi-level signals.

Takeshi Yanagida

Robust artificial olfactory device via solid template interfacial material

Grant No.：JPMJCR22C4

Research Director

Takeshi Yanagida

Collaborator

Hiroki Ishikuro	Professor Graduate School of Engineering Keio University
Ken Uchida	Professor Graduate School of Engineering The University of Tokyo

Outline

Based on “thermally robust molecular recognition materials”, we will develop novel robust molecular recognition materials and apply them to robust artificial olfactory sensor devices.