When compared to conventional experiments, a unique sparse modeling algorithm is contributing to the development of materials to achieve a carbon-free society.
January 14th, 2022 – Kyoto, Japan – HACARUS INC, the leading provider of big insights from small data, today announced that it has teamed up with Tokyo Institute of Technology (Tokyo Tech) to create a new algorithm that can cut the number of experiments needed for materials discovery by over fifty percent.
Utilizing HACARUS’ sparse modeling technology, together with Professor Taro Hitosugi and Specially-appointed Assistant Professor Ryo Nakayama, an AI algorithm has been developed that can efficiently determine the significance of synthesis parameters, drastically reducing the time and money spent on running experiments. This algorithm has the potential to lead to materials breakthroughs in a wide range of fields including the automotive and electronics sectors.
“This AI algorithm is a great step towards reaching a more sustainable society. We are excited to move forward with the research and combine our findings with the autonomous materials synthesis system being developed by Professor Hitosugi and Specially-appointed Assistant Professor Nakayama”, said Kenshin Fujiwara, CEO at HACARUS.
When using conventional AI methods, materials experts are needed to determine which parameters are significant using their expertise and experiences. The sparse-modeling-based algorithm is able to spot essential differences hidden within the data, greatly reducing the number of experiments needed. Additionally, these results are highly interpretable which can help explain the gaps between the algorithm and materials experts.
Presently, HACARUS is enthusiastic about the future of this research project and its joint work with Tokyo Institute of Technology and Professor Hitosugi, and Specially-appointed Assistant Professor Nakayama. Moving forward, HACARUS will continue to research methods for creating a more sustainable future.
About HACARUS INC.
HACARUS INC. provides big insights from small data and has since its founding in 2014 supplied solutions in 100+ AI projects across the Medical and Manufacturing fields. Headquartered in Kyoto, Japan, and backed by Osaka Gas and Miyako Capital (Kyoto University) among others, its technology enables humans to make better, faster, and more reliable decisions, based on data-driven insights. HACARUS’ proprietary AI engine is built using Sparse Modeling, a method that understands data like a human would – by its unique key features and is far more resource, time, and energy-efficient when compared to Deep Learning. To learn more, visit https://hacarus.com
About Tokyo Institute of Technology
Tokyo Tech stands at the forefront of research and higher education as the leading university for science and technology in Japan. Tokyo Tech researchers excel in fields ranging from materials science to biology, computer science, and physics. Founded in 1881, Tokyo Tech hosts over 10,000 undergraduate and graduate students per year, who develop into scientific leaders and some of the most sought-after engineers in industry. Embodying the Japanese philosophy of “monotsukuri,” meaning “technical ingenuity and innovation,” the Tokyo Tech community strives to contribute to society through high-impact research. https://www.titech.ac.jp/english/