2020.07.14
Resource Allocation Plan for More Accurate Patient Counting (challenge2)（Tohoku Univ.)
- Menu
- COVID-19
- Tohoku Univ.
- https://qard.is.tohoku.ac.jp/
Research classification
- Infection disease control by AI
- Transmission suppression of infection disease,grasping human social behavior by AI
- others
Stages of technologies
- Established technology, industrial use
- Research and development stage
Applied AI technologies
- Compressed sensing (data analysis system), dictionary learning (data analysis system), sparse modeling (data analysis system), combinatorial optimization problem (data analysis system), quantum annealing (computer resource utilization system)
Related web page
- URL : https://qard.is.tohoku.ac.jp/
- 「Sigma-i -Just for tomorrow- What can we do for our future？」
- https://sigmailab.com/corona/
Based on the number of tests in each region, the number of positive tests, and the severity of the symptoms, we calculate where the tests are effective and develop a distribution plan. Efficient resource allocation is important when it comes to moving goods over the Internet instead of moving people in the future. It can also be applied to this efficient resource allocation issue.
Laboratories, researchers, and contact address
Dr.Masayuki OHZEKI (Associate Professor), T-QARD(Tohoku University Quantum Annealing Research and Development Center,
E-mail: masayuki.ohzeki.a4[atmark]tohoku.ac.jp
Sigma-i Co., Ltd. E-mail: info[atmark]sigmailab.com
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