| SciPy 2020, the 19th annual Scientific Computing with Python conference |
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| CERN Webfest 2020 |
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| Workshop: CERN openlab Technical Workshop 2020 |
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| Workshop: IXPUG 2019 Annual Conference at CERN |
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| Seminar: Intelligence and Ethics in Machines – Utopia or Dystopia? |
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| Summer student event: Second CERN openlab summer student lightning talk session |
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| Summer student event: First CERN openlab summer student lightning talk session |
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| Summer student event: Medical informatics: Biodynamo project |
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| Summer student event: Introduction to medical informatics |
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| Summer student event: Deep Learning hands-on |
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| Summer student event: Intro to High Performance Computing with GPUs |
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| Summer student event: From raw data to physics results 3 |
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| Summer student event: Evolution in Computing Hardware - Part 2 |
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| Summer student event: Evolution in Computing Hardware |
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| Summer student event: From raw data to physics results 2 |
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| Summer student event: From raw data to physics results |
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| Summer student event: Quantum Computing for High Energy Physics Applications |
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| Summer student event: Containers and Orchestration with Docker and Kubernetes |
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| Summer student event: Presentation by the CERN Director for Research and Computing |
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| Summer student event: Introduction to Machine Learning |
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| Summer student event: Computer security in 2019 |
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| Summer student event: DAQ –Filtering Data from 1 PB/s to 600 MB/s |
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| Summer student event: Computing in HEP |
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| Workshop: Kubernetes workshop by Google |
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| Seminar: Open Source and Containers: A Proverbial Chicken and Egg? by Phil Estes, IBM |
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| Workshop: Intel solutions and tools for ML/DL implementations |
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| Seminar: DEEP-EST F2F meeting |
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| Seminar: Powering Tensorflow with Big Data |
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| Seminar: Scalable Deep Learning with Apache MXNet |
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| Workshop: Nvidia workshop |
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| Workshop: CERN openlab Technical Workshop 2019 |
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| Workshop: Build Deep Learning Applications for Big Data using Intel Analytics Zoo |
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| Workshop: 4th CERN openlab/Intel hands-on workshop on code optimisation |
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| Quantum Computing for High Energy Physics |
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| AI at CERN and SKA |
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| Summer student event: From Collision to Discovery: Physics Analysis with Apache Spark |
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| Summer student event: Introduction to code optimizations and practical examples |
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| Summer student event: Web application security penetration testing workshop 2 |
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| Summer student event: Best practices: the theoretical and practical underpinnings of writing code that's less bad |
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| Summer student event: CERN Summer Student Webfest 2018 |
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| Summer student event: Evolution in capturing hardware - Part 2 |
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| Summer student event: Webfest and AI Presentation |
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| Summer student event: Evolution in capturing hardware - Part 1 |
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| Summer student event: Evening session on Open Source |
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| Summer student event: Web application security penetration testing workshop 1 |
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| Seminar: Machine Learning with Google Cloud |
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| Summer student event: Discovering the Higgs Boson with software and computing |
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| Summer student event: How to give presentation and pitches |
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| Summer student event: Machine Learning - Part 2 |
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| Summer student event: Machine Learning - Part 1 |
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| Summer student event: From Grids to Clouds |
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| Summer student event: Training: Tools for IT Service Managers: Getting started |
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| Summer student event: Computing security |
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| Summer student event: DAQ - Filtering data from 1 PB/s to 600 MB/s |
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| Summer student event: Computing in High Energy Physics |
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| Seminar: Physics Analysis with Apache Spark in the CERN Hadoop Service and DEEP-EST Environment |
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| Seminar: HLS4ML: deploying deep learning on FPGAs for L1 trigger and Data Acquisition by Jennifer Ngadiuba |
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| Seminar: Hyperscale Machines: Apple's viewpoint |
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