{"id":2745,"date":"2023-02-24T13:15:56","date_gmt":"2023-02-24T04:15:56","guid":{"rendered":"https:\/\/www.kmi.nagoya-u.ac.jp\/eng\/?post_type=seminar&p=2745"},"modified":"2023-11-20T10:24:37","modified_gmt":"2023-11-20T01:24:37","slug":"machines-to-hunt-ghost-particles-in-big-data","status":"publish","type":"seminar","link":"https:\/\/www.kmi.nagoya-u.ac.jp\/eng\/seminar\/2745\/","title":{"rendered":"Machines to hunt ghost particles in big data"},"content":{"rendered":"

“KMI colloquium” 27th Feb (Wed)\u00a0 15\uff1a00 –<\/span><\/strong><\/span>
\n<\/span><\/strong><\/span>Speaker<\/span>:<\/span>Kazuhiro TERAO <\/span>(SLAC)
\n<\/span><\/span>Title: Machines to hunt ghost particles in big data
\n<\/span>Place: ES635 & ZOOM\u00a0<\/span><\/span><\/p>\n

Abstract: <\/span>Explosive progress made in the area of Artificial Intelligence and Machine Learning (AI\/ML) <\/span>has been adopted in many areas of research and industries. Backed up with ever-evolving <\/span>computing processors, AI\/ML-enabled new ways to analyze data with improved quality as <\/span>well as a new generation of techniques for the automation of workflows. In this talk, I will <\/span>discuss my research using AI\/ML to transform the short and long-baseline neutrino <\/span>oscillation experiments in the U.S. with AI\/ML techniques, including the Short Baseline <\/span>Neutrino (SBN) program and Deep Underground Neutrino Experiment (DUNE). <\/span>These <\/span>experiments deploy Liquid Argon Time Projection Chamber (LArTPC) detectors that can <\/span>capture a hi<\/span>–<\/span>resolution image of charged particles coming out of a neutrino<\/span> <\/span>interaction. <\/span>While the detector technology shows strong promise, a quality data analysis technique is <\/span>yet to be mastered. Traditional workflows to develop data reconstruction methods, detector <\/span>calibrations, and physics analysis techniques require manual<\/span> <\/span>processes with lots of human <\/span>interventions. Our research focus is to automate many of these workflows with acceleration <\/span>using modern computing infrastructures and enabling new and quality ways to probe data for <\/span>understanding the detector and unlocking the physics<\/span> <\/span>discovery potentials of these experiments.<\/span><\/p>\n

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<\/span><\/p>\n","protected":false},"featured_media":0,"template":"","tags":[],"seminar_category":[55],"acf":{"s_now_accepting":true,"s_date_order":"2023-02-27 15:00:00","s_date_end":null,"s_date_text":"Wednesday, Feb. 27th, 2023","s_text":"Kazuhiro TERAO (SLAC)","s_place":"ES635 & ZOOM\u00a0","s_place_other":"","s_categoryother":"","s_poster":"","s_poster2":"","s_slide":""},"yoast_head":"\nMachines to hunt ghost particles in big data - 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\/2745\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Machines to hunt ghost particles in big data - KMI - Nagoya University\" \/>\n<meta property=\"og:description\" content=\"“KMI colloquium” 27th Feb (Wed)\u00a0 15\uff1a00 – Speaker:Kazuhiro TERAO (SLAC) Title: Machines to hunt ghost particles in big data Place: ES635 & ZOOM\u00a0 Abstract: Explosive progress made in the area of Artificial Intelligence and Machine Learning (AI\/ML) has been adopted in many areas of research and industries. 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