CERN Computing

A new partnership funded by the Government of #Luxembourg, the United Nations World Food Programme, the Luxembourg Luxembourg Institute of Science and Technology (LIST) and CERN has been launched yesterday. It aims to use expertise in #ArtificialIntelligence (AI) technology to address the issue of global #hunger. The two-year strategic programme will explore three use cases in which CERN’s AI algorithms for weather modelling and prediction, as well as its expertise in distributed infrastructures, will be used together with LIST’s AI for Earth observation and crop modelling. These technologies will be harnessed to amplify WFP’s impact by increasing the efficiency and effectiveness of its emergency response and development activities. The new partnership builds on CERN openlab proven capability to foster long-term incubation of innovation that creates a disruptive positive impact on #society. Read the full article: 👉 https://lnkd.in/dgKsyYNf Enrica Porcari Alberto Di Meglio Sofia Vallecorsa Christoph Schäfer Xavier Bettel Lucien Hoffmann Jorge Fernandes

The other day, we snuck our cameras into #Indico's 20th anniversary celebration. 👀🎥 In addition to grabbing some delicious cake, we took the chance to chat with collaborators and users of Indico about their experiences with the platform over the years. Not only did we receive some fantastic feedback, but we also got a sneak peek into some exciting upcoming releases. And we have a special reveal just for you: two words—#IndicoGlobal. Indico Global is an #OpenSource platform designed to bring Indico’s powerful event management tools to smaller organizations that may not have their own IT infrastructure. With Indico Global, anyone can access a full suite of tools to organize events, free of charge! Check our dedicated page explaining everything more in depth: 👉 https://lnkd.in/dBU9QER3 People Interviewed: · Kristina Gunne, Administration Manager School of Computing · Alejandro Avilés, CEO/CTO Unconventional.dev · Shubhangi Misra, IT Software Engineer · Frank Moser, Project Manager Indico.UN · Pedro Ferreira, Section Leader – Conference Technologies

This year, The Nobel Prize in Physics went to scientists who made key contributions to the development of #MachineLearning. Physics is often used as a source of inspiration to understand and improve the network learning process, which is at the basis of machine learning. For instance, the physics of diffusion has inspired the development of so-called diffusion models, which have allowed unprecedented fidelity in image generation. At CERN, particle physicists are leveraging machine learning to improve #data processing tasks at colliders. Since the ‘90s, #NeuralNetworks have been exploited to track the propagation of particles in particle detectors and to identify the nature of various detected particles (pions, electrons, etc) and select rare events charaterized by specific particle decays such as those involving the production of the #Higgs boson or the top quark. Since the adoption of #DeepLearning architectures, CERN experiments at the Large Hadron Collider (#LHC) have improved the accuracy of some of these tasks by more than one order of magnitude. In addition, Deep Learning has opened new avenues: generative models allow for high-rate simulations of LHC collision data. Unsupervised learning is exploited to search for new physics in real time using anomaly detection techniques. When deciding which events to retain for physics studies, neural networks are used as quickly executable approximations of complex algorithms that would otherwise be too slow to be used in real time.   In the near future, progress in #quantum #computing could provide a new opportunity for a physics-driven breakthrough in machine learning development. These studies just started. So far, they barely scratched the surface of what could be in principle done to design and train quantum networks on a quantum computer. Even in this case, fundamental aspects of quantum physics could yield the design of new trainable systems and learning paradigms. ---- CERN Inter-Experimental LHC Machine Learning Working Group 👉 https://lnkd.in/eyzvFbCq AI for Physics: Alberto Di Meglio Lorenzo Moneta Maurizio Pierini Sofia Vallecorsa

Yesterday, CERN welcomed Heads of States and representatives from 24 Member States, 10 Associated Member States as well as other institutions from all over the world. Together, we celebrated 70 years of #science and #innovation while looking forward to the future #discoveries that will help shaping our understanding of the #universe. Several distinguished guests visited the Data Centre accompanied by members of the Management and scientists. The visitors asked questions about the role of computing at CERN, and were amazed by the scale of our operations. ---- Distinguished guests (in order of arrival at the Data Centre): #LATVIA: Her Excellency Ms Evika Silina (Prime Minister)  #ESTONIA: Her Excellency Dr Kristina Kallas (Minister of Education and Research)  #POLAND: Her Excellency Prof. Maria Mrowczynska (Undersecretary of State,  Ministry of Science and Higher Education)  #GREECE: His Excellency Dr Panagiotis Theodorikakos (Minister of Development)  #SWEDEN: His Excellency Mr Magnus Hellgren (Ambassador, Geneva)  #GERMANY: Her Excellency Mrs Bettina Stark-Watzinger (Federal Minister of Education and Research)  CERN hosts: Enrica Porcari, Arne Wielback, Roman Sumailov, Karolina Przerwa, Florentia Protopsalti, Zenny Wettersten, Carla Rieger #CERN70 All photos: Alex Lasa Lamarca

Is this #PhD opportunity for 👉 YOU? #quantum

Happy 70th #anniversary, CERN! 🎉 We celebrate the history of CERN, we contribute to build its present and we work to create its extraordinary future! #CERN70 🥰 29 September 1954-2024

Whether you are a fully fledged #developer or an event manager who likes user-friendly computing tools, you can become part of the #Indico community by contributing with: - translations of the Indico documentation - spotting issues - suggesting new features - developing libraries - coding Indico is a CERN-born 100% #opensource project. Become a member of the Indico worldwide community, start your journey here: 👉 https://lnkd.in/eYkJsfUB Adrian M., Pedro Ferreira, Tomas Roun

#Indico is the CERN-born event managing application serving some 400,000 users distributed in over 50 countries. Indico started as a follow-up of the AgendaMaker tool that a small team of developers had created for the ATLAS Collaboration, which today is still one of the most active users of the platform. “Following that initial request, a fund request was made to the EU to evolve from a meeting-oriented application to a catch-all platform where we could host a one-hour meeting as well as a one-week conference with parallel sessions,” recalls Jean-Yves Le Meur, in charge of the early developments of Indico. The “Event 0” of the Indico Platform was, 20 years ago, the CHEP 04 scientific conference, which happened in September 2004. Happy #anniversary, Indico! Thanks for 20 years of awesome developments and for making things smoother for thousands of event organisers around the world! Cheers to many more updates and amazing features ahead! Read more about Indico: 👉 https://lnkd.in/e4XC3nQF 👉 Indico Event-0: https://lnkd.in/erhrcZ4s Senior UX Pro and author of the image below: Jennifer Cham Our amazing Indico team: Pedro Ferreira, Adrian M., Tomas Roun, Duarte Galvão, Dominic H., Michel Succar, Ajob Kustra, Germán Cancio Meliá.

While waiting for its future evolution, data scientists, computational biologists, oncologists and life science experts are already collaborating to assess how #quantum #computing can help #medicine find solutions for patients affected by complex diseases. Michele Grossi, CERN’s coordinator of Hybrid Quantum Computing Infrastructures and Algorithms, is one of the authors of a recent paper published in NAR Nucleic Acids Research: 👉 https://lnkd.in/et4cE7Cg? In the paper, authors demonstrate that quantum computing has the potential to accelerate the biomedical research. Using the innovative NeEDL (Network-based epistasis detection via local search) protocol, the authors are able to identify polygenic interactions with an unprecedented statistical and biological relevance. The study provides a novel way to look at complex polygenic diseases and opens the way to design combined, more efficient treatments for patients.

The CERN School of Computing (#CSC) 2024 is starting today in Hamburg, at DESY! 65 participants from 30 nationalities are attending the #school which will last for two weeks and include around 50 hours of lectures and hands-on exercises on the topics of Physics Computing, Software Engineering and Data Technologies. Time is also set aside to network with both students and lecturers, all while exploring #Hamburg and its surroundings. This morning's opening ceremony featured talks by former CERN General Director Rolf Heuer, Beate Heinemann, Director of Particle Physics at the DESY research center , Joachim Mnich, CERN Director for research, Enrica Porcari, Head of the CERN IT Department and Martin Thome, representing the German Ministry of Science and Education. The school material is available through the CSC website timetable, open to anyone who is interested in all or some of the topics! 👉 https://lnkd.in/eSWybBAx