Category: Indico Event

  • KT fund and MA budget information session

    Tuesday 18 Feb/25 11:00 -12:30 (Europe/Zurich) KT fund and MA budget information session If you are working on a cutting-edge technology and think that it could have an impact outside of particle physics, we encourage you to come and meet the CERN’s Knowledge Transfer group at one of the upcoming Information sessions. You will have…

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  • KT fund and MA budget information session

    Friday 21 Feb/25 11:15 -12:30 (Europe/Zurich) KT fund and MA budget information session Coffee available as of 11:15 If you are working on a cutting-edge technology and think that it could have an impact outside of particle physics, we encourage you to come and meet the CERN’s Knowledge Transfer group at one of the upcoming…

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  • KT fund and MA budget information session

    Wednesday 26 Feb/25 11:15 -12:30 (Europe/Zurich) KT fund and MA budget information session Coffee available as of 11:15 If you are working on a cutting-edge technology and think that it could have an impact outside of particle physics, we encourage you to come and meet the CERN’s Knowledge Transfer group at one of the upcoming…

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  • LHC Lumi Days 2025.

    Monday 10 Mar/25 11:30 (Europe/Zurich) Ends: 12 Mar/25 18:00 LHC Lumi Days 2025. This INDCIO has been replaced byhttps://indico.cern.ch/event/1502802/

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  • LumiDays 25

    Monday 10 Mar/25 14:00 (Europe/Zurich) Ends: 12 Mar/25 18:00 LumiDays 25 Following the successful 2011, 2012 and 2019 workshops, we propose a new edition of the LHC LumiDays. The goal is to review the progress, since 2019 and over the first three years of Run 3, in the determination, by each Experiment, of the absolute…

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  • Real-time Gravitational Wave data analysis with Machine Learning

    Wednesday 12 Feb/25 11:00 -12:00 (Europe/Zurich) Real-time Gravitational Wave data analysis with Machine Learning In recent years, deep learning algorithms have excelled in various domains, including Astronomy. Despite this success, few deep learning models are planned for online deployment in the O4 data collection run of the LIGO-Virgo-KAGRA collaboration. This is partly due to a…

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  • The first Cyclotron-based multi-ion project: Status, Perspectives and Challenges

    Thursday 23 Jan/25 10:00 -11:00 (Europe/Zurich) The first Cyclotron-based multi-ion project: Status, Perspectives and Challenges BROKEN IMAGE NOT MOVED (drupal url : https://iml.web.cern.ch//node/356) Multi-ion radiotherapy aims to exploit the radiobiological properties of lighter and heavier ions, to provide precision cancer treatment. The world’s first multi-ion cyclotron for radiotherapy is being installed in Caen (France), and…

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  • Overcoming challenges of quantum interference at LHC with neural simulation-based inference and a full implementation in ATLAS

    Wednesday 4 Dec/24 11:00 -12:00 (Europe/Zurich) Overcoming challenges of quantum interference at LHC with neural simulation-based inference and a full implementation in ATLAS Quantum interference between signal and background Feynman diagrams produce non-linear effects that challenge core assumptions going into the statistical analysis methodology in particle physics. I show that for such cases, no single…

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  • Entropy is all you need? The quest for best tokens and the new physics of LLMs

    Thursday 7 Nov/24 11:00 -12:00 (Europe/Zurich) Entropy is all you need? The quest for best tokens and the new physics of LLMs LLMs currently generate texts one token at a time with fixed hyperparameters. In September 2024, OpenAI released o1, a largely undocumented model that rely on a expanded pre-generation strategies to enhance the quality…

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  • The Edge spAIce project: Edge AI technology on a satellite for near real-time detection and monitoring of marine plastic litter

    Friday 29 Nov/24 14:00 -15:30 (Europe/Zurich) The Edge spAIce project: Edge AI technology on a satellite for near real-time detection and monitoring of marine plastic litter BROKEN IMAGE NOT MOVED (drupal url : https://iml.web.cern.ch//node/353) Deployment of edge-AI systems empowered with accurate DNNs for feature extraction is the most promising approach to reduce the burden of…

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