AI Chips on Things for Sustainable Society: A 28-nm CMOS, Fully Spin-to-spin Connected 512-Spin, Multi-Spin-Thread, Folded Halved-Interaction Circuits Method, Annealing Processing Chip

Satoshi Kitamura, Ryoma Iimura, Takayuki Kawahara

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

For sustainable society, next-generation Internet of Things (IoT) requires ultra-low-power information processing that is useful for both sensor area expansion and high-speed low-power feature extraction using a new signal processing artificial intelligence (AI) large-scale integration (LSI) chip developed for not only the cloud side but also the 'things' side (edge) with an attached sensor. For this purpose, a fully spin-to-spin connected Ising model (annealing processing) AI LSI chip was successfully demonstrated for the first time. Its specifications are as follows: 521 spins, 262,144 interactions (with a halved-interaction circuit method), and 4-bit interaction accuracy. The chip was designed and fabricated using a 28-nm CMOS process. The new circuit technologies confirmed in actual operation of the chip are a block configuration realizing all spin-to-spin interactions, 8-spin-threads (core) method, and folded halved-interaction circuit method.

Original languageEnglish
Title of host publicationSAMI 2020 - IEEE 18th World Symposium on Applied Machine Intelligence and Informatics, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages319-323
Number of pages5
ISBN (Electronic)9781728131498
DOIs
Publication statusPublished - Jan 2020
Event18th IEEE World Symposium on Applied Machine Intelligence and Informatics, SAMI 2020 - Herl�any, Slovakia
Duration: 23 Jan 202025 Jan 2020

Publication series

NameSAMI 2020 - IEEE 18th World Symposium on Applied Machine Intelligence and Informatics, Proceedings

Conference

Conference18th IEEE World Symposium on Applied Machine Intelligence and Informatics, SAMI 2020
CountrySlovakia
CityHerl�any
Period23/01/2025/01/20

Keywords

  • annealing processing
  • artificial intelligence
  • CMOS
  • IoT
  • Ising model

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    Kitamura, S., Iimura, R., & Kawahara, T. (2020). AI Chips on Things for Sustainable Society: A 28-nm CMOS, Fully Spin-to-spin Connected 512-Spin, Multi-Spin-Thread, Folded Halved-Interaction Circuits Method, Annealing Processing Chip. In SAMI 2020 - IEEE 18th World Symposium on Applied Machine Intelligence and Informatics, Proceedings (pp. 319-323). [9108766] (SAMI 2020 - IEEE 18th World Symposium on Applied Machine Intelligence and Informatics, Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SAMI48414.2020.9108766