Energy-Efficient Information Processing: Next-Generation Nano & Micro Devices and Systems

  • SDG3 Ensure healthy lives and promote well-being for all at all ages
  • SDG4 Ensure inclusive and equitable quality education and promote lifelong learning opportunities for all
  • SDG7 Ensure access to affordable, reliable, sustainable and modern energy for all
  • SDG8 Promote sustained, inclusive and sustainable economic growth, full and productive employment and decent work for all
  • SDG9 Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation
  • SDG10 Reduce inequality within and among countries
  • SDG11 Make cities and human settlements inclusive, safe, resilient and sustainable
  • SDG13 Take urgent action to combat climate change and its impacts
  • SDG17 Strengthen the means of implementation and revitalize the global partnership for sustainable development
Akira Hirose
Graduate School of Engineering
Institute for Innovation in International Engineering Education Professor
Information technology forms the paramount foundation of the contemporary society. It is constantly evolving, as represented by such words as sensor networks, big data and deep learning, establishing a wider and more tolerant framework. In this evolutionary process, the most serious problem is a huge and rapidly increasing amount of energy consumed by the information systems. To solve this problem, it is required to make an investigation based on both device physics and system mathematics in an integrated manner. From this viewpoint, we clearly show the direction in which the next-generation nano and micro devices and systems should proceed. We are establishing a theoretical framework in science and technology that leads to practical energy-efficient information processing and its prototypes. Our recent achievements won several significant awards from academic societies such as the Institute of Electrical and Electronics Engineers (IEEE) and the Institute of Electronics, Information and Communication Engineers (IEICE), and have drawn attention from the society through wide newspaper coverage.
Energy-Efficient Information Processing: Next-generation Nano&Micro Devices and Systems

Related links

Research collaborators

- IBM Research Tokyo

Related publications

- Y. Katayama, T. Yamane, D. Nakano, R. Nakane, and G. Tanaka, "Wave-Based Neuromorphic Computing Framework for Brain-Like Energy Efficiency and Integration," IEEE Transcations on Nanotechnology, vol. 15, no. 5, pp. 762-769 (2016 September) DOI: 10.1109/TNANO.2016.2545690.
- G. Tanaka, R. Nakane, T. Yamane, D. Nakano, S. Takeda, S. Nakagawa, and A. Hirose, "Exploiting Heterogeneous Units for Reservoir Computing with Simple Architecture," Proceedings of the 23th International Conference on Neural Information Processing (ICONIP), pp. 187-194 (2016) DOI: 10.1007/978-3-319-46687-3_20.
- Akira Hirose, "Complex-Valued Neural Networks, 2nd Edition," Springer (2012).

Related patents

- S.Takeda, D.Nakano, T.Yamane, US Patent Application Number 15/172843、"Reservoir Computing Device by External-Feedback Laser System,"2016/6/3.
- S.Takeda, D.Nakano, T.Yamane, US Patent Application Number "Photonic Reservoir Computing by Coupled Resonators Feedback Laser," 2017/4/20.
- S.Takeda, D.Nakano, T.Yamane, US Patent Application Number, "Simplification of readout of physical reservoirs by delay coordinate vectors," 2017/4/3.

Contact

  • Akira Hirose
  • Tel: +81-3-5841-6695
  • Email: ahirose[at]ee.t.u-tokyo.ac.jp
    ※[at]=@
Access Map
Close
Kashiwa Campus
Close
Hongo Campus
Close
Komaba Campus
Close