InaRIS Fellow (2022-2031)
Professor,Research Institute of Electrical Communication, Tohoku University*Profile is at the time of the award.
2022InaRISScience & Engineering
In the development of AI, John Hopfield's suggestion in the 1980s about the analogy between the brain's memory mechanism and spin glasses, and a proposal by Jeffrey Hinton et al. for learning using the Boltzmann distribution, a fundamental law of statistical mechanics, have played important roles. However, these computational algorithms require so enormous amount of computation in the execution by current computers based on sequential and deterministic operations that their direct use is impractical, leading to limited implementations in the current AI such as the restricted Boltzmann machines.
Dr. Fukami's research proposal is based on an ambitious idea to bring out the "intelligence" inherent to materials by controlling them with artificial structures, and to realize the original idea of Hopfield and Hinton by constructing physical systems that obey complex physical laws. Dr. Fukami has achieved important research results that are foundational of this proposal. For example, he has explored device technologies that advance current computing, such as high-performance materials and devices for non-volatile magnetic memory (MRAM), and has also demonstrated proof-of-concept of brain-like computing and probabilistic computing using devices based on spintronics technology. This proposal aims to further explore the "intelligence" in materials, and to extend the application of such "intelligence" to algorithms and architectures.
Dr. Fukami is one of the world's leading researchers in the development of novel computing based on spintronics technology, and with the support of the InaRIS Fellowship, over the next 10 years, he is expected to pioneer new "intelligence" in materials and bring about innovations in computing technology based on this intelligence, thereby realizing the integration of materials research with a wide range of academic fields such as information science, and contributing to the creation of a new paradigm in materials research.
Science & Engineering