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<title>The 3rd KMI School：Machine Learning in Particle and Astrophysics</title>
<description>&lt;u&gt;&lt;strong&gt;&lt;span&gt;- Online school on new dates: 16 - 20 November 2020 &amp;ndash;&lt;br /&gt;
&lt;br /&gt;
The originally-scheduled KMI school 2020 in March is now postponed to be held online in November.&lt;/span&gt;&lt;/strong&gt;&lt;/u&gt;&lt;br /&gt;
&lt;br /&gt;
The 3rd KMI school will be held with a topic &amp;ldquo;Machine Learning in Particle an Astrophysics&amp;rdquo;, which is one of the most rapid-developed fields in various research areas recently. While many of data analysis techniques have been developed and contributed to progress in particle physics and astrophysics until now, recent machine-learning-based analysis surprisingly improves speed and quality of data analysis in various fields; collider, neutrinos, dark matter, astrophysics, and observational cosmology, etc. Next break-through in these research areas would be achieved with the help of this new idea, and might reveal yet unknown nature of particle and the universe.&lt;br /&gt;
&lt;br /&gt;
This is the indico page for the timetable, the presentation slides as well as for the registrations (on the left bar).&lt;br /&gt;
&lt;br /&gt;
The main web page of the school can be found at: http://www.kmi.nagoya-u.ac.jp/workshop/kmischool2020/</description>
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<startDate>2020-11-16T08:00:00</startDate>
<endDate>2020-11-20T13:20:00</endDate>
<creationDate>2019-10-24T13:27:09</creationDate>
<modificationDate>2020-11-20T06:45:37</modificationDate>
<timezone>Japan</timezone>
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 <title>Topic-D: Recent progresses in the machine learning and possible application to particle physics</title>
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 <startDate>2020-11-19T16:30:00</startDate>
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