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The 3rd KMI School successfully finished


The 3rd KMI School “Machine Learning in Particle and Astrophysics (KMI 2020)” was held on November 16-20, 2020, with about 60 participations from 12 countries. KMI School 2020 was originally scheduled for March 2020, but had to be postponed due to the COVID-19 pandemic.

The five days of lectures and group works were conducted using online communication tools, allowing for fruitful discussions across borders. Due to the limited number of participants, we had to close the pre-registration for the group work, but we opened the online auditing to external participants.

The 3rd KMI school was finally held by online, but quite successfully, after rescheduling due to the COVID19 situation. There were ~100 participants in the various fields from particle and astrophysics gathering from the world.
We had intensive one week with lectures and seminars and also group work by participants themselves. We and lectures were quite impressed by their enthusiastic activity for machine learning for their own researches.
We are looking forward to seeing you all the participants someday at Nagoya again.

— Prof. Yoshitaka Itow, Director of KMI School 2020.

In addition, posters and KMI mugs were given to the winners of the poster session by the participants. The winners and their titles are as follows.

Alvina Yee Lian ON (Mullard Space Science Laboratory, University College London)
Title: “Seeing and measuring the invisible: cosmic magnetic fields”
Ryuta KOBAYASHI (Division of Particle and Astrophysical Science, Nagoya University)
Title: “Development of high speed readout machine for directional dark matter search experiment NEWSdm”


On January 8th, 2021, professor Itow, the Director of KMI School, awarded a winner certificate and a KMI mug with autographs of Drs. Makoto Kobayashi and Toshihide Maskawa to Mr. Kobayashi, one of winners, at Nagoya University.  Due to the COVID-19 situation, Ms. On will receive those awards by mail as soon as possible.  Related article: KMI School 2020 Poster Award