August 10, 2018
Joint Press Release with the Ministry of Education, Culture, Sports, Science and Technology
The Ministry of Economy, Trade and Industry (METI) selected the METI Minister’s Award winners under the Award for Academic Startups 2018 program.
A commendation ceremony will be held on August 30 (Thur.), 2018, at Tokyo Big Sight in Ariake, Koto Ward, Tokyo.
1. Outline of the Award for Academic Startups 2018
Since its inauguration in FY2014, the Award for Academic Startups program has been honoring promising, excellent university-originated startups selected from startups that make use of research outcomes achieved by universities and other institutions (national universities, private universities, colleges of technology, research and development institutions under national and local governments, national research and development agencies, and non-profit corporations including public interest corporations). This program also honors universities, companies and other entities that have contributed to the growth of such startups.
The program called for applicants for the FY2018 program from April 26 (Thur.) to June 8 (Fri.), 2018, and 46 entities applied for the program. The screening committee of external experts for the Award for Academic Startups (Appendix 2) examined application documents and held interviews with applicants. Following this screening, seven university-originated startups and the supporting universities and companies for the businesses were selected as winners. For details of the winners, see Appendix 1 and visit the website for the List of the Winners of the 2018 Program below.
2. Outline of winners and awards (For details, see Appendix 1.)
- Startup: Jun-ichi Idesawa, CEO, AISing, Ltd.
- Supporter: Chyon-Hae Kim, Associate Professor, Faculty of Science and Engineering, Iwate University
- AISing, Ltd. is a startup based in Iwate University. The company successfully developed its unique AI algorithm called “Deep Binary Tree (DBT)” and has been deploying business taking advantage of the algorithm.
- DBT is an AI algorithm that executes repeated learning based on a simple model called “tree structure” and improves prediction accuracy. This algorithm is considered to be able to serve as the foundation for a real-time, light AI. Compared with Deep Learning, a technology that is drawing attention in the field of AI, DBT has advantages in its small program size, high learning speed and low calculation cost, while having disadvantages in the limited number of input types, etc.
- Due to these advantages, DBT is expected to be applied to edge devices in the industrial fields of machinery and precision machinery by incorporating the algorithm into chips and other devices. Accordingly, if the respective edge devices are networked in the future, DBT may contribute to constituting more highly accurate and speedy social knowledge in certain fields.
- The company is expected to play an important role as a key company in the field of AI in leading the fourth industrial revolution and supporting the or manufacturing industries worldwide.
３. Outline of the commendation ceremony
A commendation ceremony for the winners of the Award for Academic Startups 2018 will be held as below.
- Date: August 30 (Thur.), 2018; from 14:30 to 16:15
- Venue: Seminar room, West Hall 1, Tokyo Big Sight (3-11-1, Ariake, Koto Ward, Tokyo)
- For more details, see the JST website for the ceremony
At the commendation ceremony, the winners will make presentations to introduce their projects. They will also put up posters in booths exclusively for the winners at the site of the Innovation Japan 2018 event. Anyone interested in this program is welcome to the ceremony, and we are looking forward to seeing you there.
- Winners of the Award for Academic Startups 2018 Program (in Japanese) (PDF:251KB)
- Members of the Award for Academic Startups (in Japanese) (PDF:247KB)
Division in Charge
Industry-University Collaboration Office, Industrial Science and Technology Policy and Environment Bureau