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
Professor
Research Institute of Electronics
Shizuoka University
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
Professor
School of Engineering
Tohoku University
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
Director
Research Center for Magnetic and Spintronic Materials
National Institute for Materials Science
Collaborator
| Yoshihiro Okamoto | Project Researcher Graduate School of Science and Engineering Ehime University |
|---|---|
| Simon Greaves | Associate Professor Research Institute of Electrical Communication Tohoku University |
| Toshiyuki Koyama | Group Leader 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
Professor
Graduate School of Engineering
The University of Tokyo
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.