Japanese history of machine learning application in radiation measurement field and examples of applications at Kyushu University

Researchers in radiation methodology field are very familiar with what required to understand machine learning, 'statistics.' Thus, they had originally potential to be machine-learning users. For the evidence, oversea researchers in the field had been applied machine learning technique around 2015. However, Japanese situation was not the same. Staying home by counter measures for COVID-19 might be a chance to study machine learning for Japanese researchers and in these days, the number of applications is increasing and to be close to the world. First our application, a machine-learning neutron spectrum unfolding method, was shown in 2017 at IEEE NSS/MIC. Our applications have been expanded to gamma-ray spectrometry, identification of cosmic-ray from cosmic-ray electrons and so on. (author)