In collaboration with the Tokyo Institute of Technology, HACARUS will announce its Design of Experiment Algorithm on March 24, 2022.
March 10th, 2022 – Kyoto, Japan – HACARUS INC, the leading provider of big insights from small data, today announced that it will participate in the 69th JSAP Spring Meeting to unveil its material development algorithm together with Professor Taro Hitosugi and Assistant Professor Ryo Nakayama from the Tokyo Institute of Technology.
“Lately, AI has been attracting attention in the material development world as a means of improving efficiency. Together with The Tokyo Institute of Technology, our algorithm, which utilizes sparse modeling technology, we have discovered a way to greatly improve the efficiency even further. We want to share this innovative technology with as many people as possible so we are excited about this opportunity,” said Kenshin Fujiwara, CEO at HACARUS.
By utilizing HACARUS’ sparse modeling techniques, the Design of Experiment Algorithm provides three distinct advantages over conventional methods. First, the innovative model can reduce the time and costs of model training by cutting the number of experiments by over 50%. The algorithm can also open the possibility of new discoveries by expanding the search space of experiments. Finally, it can serve as the bridge that gaps AI analysis and expert judgments to improve the overall quality of material development.
As one of the 20 keynote lectures selected from over 4000 candidates, speakers from HACARUS and the Tokyo Institute of Technology will showcase the Design of Experiment Algorithm, explain how it works, and its implications in a variety of scientific fields such as of material decarbonization of rare materials.
If you are interested in learning more about the JSAP Spring Meeting or would like to participate in this year’s program, please reference the following information and visit the official website (https://meeting.jsap.or.jp).
Date: March 3rd (Tuesday), 2022
Time: 5:30PM (JST)
Location: Room E203, Sagamihara Campus, Aoyama Gakuin University (Zoom session also available)
Address: 5-10-1 Fuchinobe, Chuo-ku, Sagamihara City, Kanagawa Prefecture
Lecture Title:「スパース推定を用いたベイズ最適化による実験計画アルゴリズム」
Lecturers:
- HACARUS: Ryuji Masui (Data Scientist), Lee Unseo (Data Scientist)
- Tokyo Institute of Technology: Taro Hitosugi (Professor), Ryo Nakayama (Assistant Professor)
Pricing:
- General, associate, and partner society members: 18,000 yen
- Student speakers: 5,000 yen
- Non-members: 30,000 yen
- Seniors: 7,000 yen
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 the 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/
About the Japan Society of Applied Physics
The Japan Society of Applied Physics, where the presentations will be made, is known as a society that links academic theory, such as science and physics, with the real world. By hosting this conference, they are enabling researchers from universities and companies to present their latest results. The annual conference is held in the spring and fall and includes more than 4000 lectures. To learn more, visit https://www.jsap.or.jp/english.
