CERN openlab

Hear from Ilaria Luise, PhD, CERN openlab Senior Research Fellow, how #CERNopenlab contributes to the AtmoRep/EMP2 project and the impact of this collaboration between CERN, the European Centre for Medium-Range Weather Forecasts and Forschungszentrum Jülich 🚀 This project aims to develop a proof-of-concept for a machine learning-based #DigitalTwin of the atmosphere with environmental applications 🌳 The atmosphere and its dynamics significantly impact human well-being, from agricultural decision-making to policymaking and the renewable energy sector. Accurate and equitable modelling of atmospheric dynamics is critically important to allow for evidence-based decision-making that improves human well-being and minimises adverse impacts for current and future generations. This project is part of CERN openlab commitment to promote and encourage R&D projects with a societal and environmental impact 🎯 Discover more about the project 👇 

Today's CERN openlab Summer Student Lecture is about 'Quantum Computing Applications and Use-cases'. It is the last talk of this lecture program, and you will hear from Ema Puljak (Universitat Autònoma de Barcelona), Francesco Di Marcantonio (Universidad del País Vasco/Euskal Herriko Unibertsitatea), and Roman Luca Wixinge (ETH Zürich) all about: ➡ Quantum-inspired algorithm: #TensorNetworks. ➡ #SoftwareEngineering and #QuantumKernels. Dive into fundamental concepts such as #DataEncoding, feature map selection, and the comparison of different metrics for #Quantum kernel estimation. You will learn the basic steps and considerations in implementing and assessing #QuantumAlgorithms for #MachineLearning. Find more information and join the webcast at 13:30CEST here: https://lnkd.in/drTHakuT #Science #Computing #Innovation #Technology #QuantumComputing #Applications #UseCases #TensorNetworks #SoftwareEngineering #QuantumKernels

Today's CERN openlab Summer Student Lecture is about the 'Basics of Quantum Computing'. In this basic introduction to #QuantumComputing, you will learn about the underlying mathematical concepts together with #QuantumMechanical phenomena such as #Superposition and #Entanglement. Hear from Ema Puljak (Universitat Autònoma de Barcelona), Giulio Crognaletti (Università degli Studi di Trieste), and Carla Sophie Rieger (Technical University of Munich) about: 📌 The basics of quantum computing. 📌 Hands-on session on quantum computing. 📌 Quantum optimisation and quantum machine learning. Discover fundamental concepts of quantum machine learning (#QML), possible advantages and challenges in this domain, and examples of CERN-specific use-cases. Find more information and join the webcast at 13:30CEST here: https://lnkd.in/dm-J6Daa

Today's CERN openlab Summer Student Lecture is about 'Digital Twins: introduction and use-cases'. Digital twins provide a precise virtual replica of physical systems, allowing, for example, scientists to #Simulate and #Model high-energy physics (#HEP) experiments with great accuracy. Discover all about #CERNopenlab pioneering role in the interTwin project! interTwin is an EC-funded project that seeks to harness the potential of #DigitalTwins in a diverse range of scientific fields such as #EarthObservation and "Physics. The project's core modules offer essential capabilities for developing and managing #DataDriven and #ComputeIntensive applications. A key focus of interTwin is to establish seamless #Communication and #Interoperability among High-Performance Computing (#HPC), High Throughput Computing (#HTC), and #CloudResource providers. interTwin aims to establish consistent #SecurityMeasures, #AccessPolicies, and #ResourceAccounting mechanisms to simplify resource access across different #ComputingInfrastructures. Hear from Alexander Zoechbauer and Kalliopi (Popi) Tsolaki (CERN) about how interTwin aims to facilitate #Efficient and #Effective resource utilisation for the advancement of #ScientificResearch and development in #EarthObservation and #Physics. Find more information and join the webcast at 13:30CEST here: https://lnkd.in/drs-hwXf #Science #Computing #Innovation #Technology #DigitalTwins #SocietalApplications #EnvironmentalApplications #ScientificCollaboration #Modelling

🌟 This week, #CERNopenlab summer students got the chance to visit the ALICE Collaboration and the CERN Control Centre! 🌟 ALICE is one of the four #LHC experiments and is the acronym for ‘A Large Ion Collider Experiment’. It studies nuclei collisions in the #Physics of strongly interacting matter at extreme conditions of high temperature and energy density, where a phase of matter called the quark-gluon plasma (QGP) forms. Recreating this primordial state of matter, the QGP, in the laboratory and studying its evolution opens the possibility of learning how matter is organised and the mechanisms that confine quarks and gluons. The ALICE detector is installed in a vast cavern 56 meters below the Swiss-French border. It is 26 meters long and weighs 10000 tonnes! The CERN Control Centre (CCC) combines the control rooms of its eight #Accelerators and the operation of cryogenics and technical infrastructures.  Before reaching the LHC, protons must first move at high speed from the source, down a linear accelerator (Linac2), and through a series of other accelerators (the Proton Synchrotron Booster, the Proton Synchrotron and the Super Proton Synchrotron). The CCC is where the operation of all its #Beams and accelerators happens, coordinating the injection process and guaranteeing a high-quality beam.

Today's CERN openlab Summer Student Lecture is about 'Foundation Models'. #FoundationModels, also known as large-scale self-supervised models, have revolutionised the field of #ArtificialIntelligence. These models, such as #ChatGPT and #AlphaFold, are pre-trained on massive amounts of #Data and can be fine-tuned for a wide range of downstream tasks. Hear from Sofia Vallecorsa (CERN) about the key concepts behind foundation models and their impact on #MachineLearning systems. Learn about: ➡ Foundation models: what is it, challenges and opportunities. ➡ Strategies for training foundation models: self-supervision and pre-training.  ➡ How to reach #Adaptability and #FineTuning. Find more information and join the webcast at 13:30CEST here: https://lnkd.in/defjFHVx #Innovation #ComputingLectures #Technology #FoundationModels #ArtificialIntelligence #MachineLearning

Hear from Eric Wulff, CERN openlab Data Scientist, how #CERNopenlab contributes to the CoE RAISE project and the impact of this collaboration 🚀 Aiming to be at the forefront of #AI technology development, CoE RAISE works to develop and generalise innovative AI methods on heterogeneous high-performance computing (#HPC) architectures capable of scaling towards #Exascale. What is #ExascaleComputing ❓ Today's fastest supercomputers solve problems at the petascale level - a quadrillion (1 followed by 15 zeros!) calculations each second. The next milestone in computing achievements is the exascale level - at a quintillion calculations each second (1 followed by 18 zeros!) - exascale supercomputers will more realistically simulate the processes involved in areas such as precision medicine, or the unseen physics in the universe's fundamental forces. Through CERN openlab, CERN leads CoE RAISE Work Package 4 (WP4) on 'Data-Driven Use-Cases towards Exascale'. WP4 aims to develop and expand AI methods along with representative use-cases from research and industry, which strongly focus on data-driven technologies, such as analysing data-rich descriptions of physical phenomena. Discover more on openlab.cern 💻

In our mission to accelerate #Computing for science, at CERN openlab we do R&D in #ArtificialIntelligence (AI) algorithms, platforms, and applications. The #LHC experiments produce a vast amount of data. Identifying rare events or new particles in a big dataset is like finding a needle in a haystack! With the High-Luminosity LHC leading to more data generated by the LHC experiments, #Technology that helps select the events worth analysing is essential. AI algorithms are perfectly suited to help process and analyse this data. For example, they can help recognise patterns and anomalies that might indicate new physics phenomena. #CERNopenlab contributes to this area of innovation via collaborations with technology providers and research institutions that are developing state-of-the-art platforms, services, and methodologies. We aim to foster the widespread adoption of #AI methods and techniques applicable to various AI use-cases, providing the community with access to specific expertise and resources. Many other fields face similar #BigData challenges and can profit from the innovations made within the #HEP community, such as #Radioastronomy, #ClimateSciences, or #HealthSciences. Read more about this R&D activity 👇

Today's CERN openlab Summer Student Lecture is about 'GPU programming'. Graphics Processing Units (#GPUs) have become increasingly valuable in high-energy physics due to their parallel processing capabilities and ability to handle large-scale data computations. Hear from Stephan Hageboeck (CERN) all about the basics of GPU computing to understand in which circumstances the usage of GPUs is beneficial for #Scientific #Computing. Using the NVIDIA CUDA GPUs as examples, you will learn how the hardware works and how it is programmed. Find more information and join the webcast at 13:30CEST here: https://lnkd.in/d-DurEgK #Innovation #ComputingLectures #Technology #Programming #GPUs #NVIDIA #CUDAGPUs

Today's CERN openlab Summer Student Lecture is about ‘Best practices: the theoretical and practical underpinnings of writing code that is less bad’. #SoftwareDevelopment is a tricky job! Keeping best practices in mind is always helpful. Hear from Axel Naumann (CERN) why this happens and discover some ingredients that we at CERN have found useful over the last decades. Together they can reduce bugs, improve code usability and maintenance.In short, they simply help you write better code! Find more information and join the webcast at 13:30CEST here: https://lnkd.in/dDcDJ5rp #Innovation #ComputingLectures #Technology #Coding #Bugs #Computing #Code