{"id":3588,"date":"2026-09-01T15:15:47","date_gmt":"2026-09-01T06:15:47","guid":{"rendered":"https:\/\/www.kmi.nagoya-u.ac.jp\/eng\/?post_type=seminar&#038;p=3588"},"modified":"2026-09-01T15:20:43","modified_gmt":"2026-09-01T06:20:43","slug":"ml-applications-in-collider-experiments","status":"publish","type":"seminar","link":"https:\/\/www.kmi.nagoya-u.ac.jp\/eng\/seminar\/3588\/","title":{"rendered":"ML Applications in Collider Experiments"},"content":{"rendered":"<p>Machine Learning (ML) represents cutting-edge data processing technologies in the field of information science. They are expected to enable various data processing tasks, as they can build a data &#8220;model&#8221; (a description of the relationship between input and output variables) using information derived from vast amounts of data, even without a pre-existing, explicit model.<br \/>\nSince various recent ML techniques provide more effective and precise data processing in accelerator physics experiments, we formed a group with information scientists to apply ML to particle accelerator physics as an RCNP research project in Osaka in 2018.<br \/>\nIn this seminar, some of our ML application activities in accelerator tuning, physics analysis, and data calibration will be introduced.<\/p>\n","protected":false},"featured_media":0,"template":"","tags":[],"seminar_category":[155],"class_list":["post-3588","seminar","type-seminar","status-publish","hentry","seminar_category-ai4kmi"],"acf":{"s_now_accepting":true,"s_date_order":"2026-07-16 17:00:00","s_date_end":"2026-07-16 18:00:00","s_date_text":"17:00 - 18:00","s_text":"Masako Iwasaki (Osaka Metropolitan University)","s_place":"ES635","s_place_other":"","s_categoryother":"","s_poster":"","s_poster2":"","s_slide":""},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>ML Applications in Collider Experiments - KMI - Nagoya University<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.kmi.nagoya-u.ac.jp\/eng\/seminar\/3588\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"ML Applications in Collider Experiments - KMI - Nagoya University\" \/>\n<meta property=\"og:description\" content=\"Machine Learning (ML) represents cutting-edge data processing technologies in the field of information science. They are expected to enable various data processing tasks, as they can build a data &#8220;model&#8221; (a description of the relationship between input and output variables) using information derived from vast amounts of data, even without a pre-existing, explicit model. 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