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Supercomputing Centers Will Expedite Access to Fight Coronavirus

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MUNICH, March 17, 2020 — Effective immediately, the Gauss Centre for Supercomputing (GCS), the alliance of Germany’s three national supercomputing centers, will help researchers working on COVID-19 research gain expedited access to computing resources. This includes access to the petascale high-performance computing infrastructures at the High-Performance Computing Center Stuttgart (HLRS), Jülich Supercomputing Centre (JSC), and Leibniz Supercomputing Centre (LRZ). Researchers fighting the coronavirus can reach out to access GCS flagship supercomputers at HLRS, JSC, and LRZ. Courtesy of Gauss Centre...Read full article

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    Published: March 2020
    Glossary
    machine learning
    Machine learning (ML) is a subset of artificial intelligence (AI) that focuses on the development of algorithms and statistical models that enable computers to improve their performance on a specific task through experience or training. Instead of being explicitly programmed to perform a task, a machine learning system learns from data and examples. The primary goal of machine learning is to develop models that can generalize patterns from data and make predictions or decisions without being...
    machine vision
    Machine vision, also known as computer vision or computer sight, refers to the technology that enables machines, typically computers, to interpret and understand visual information from the world, much like the human visual system. It involves the development and application of algorithms and systems that allow machines to acquire, process, analyze, and make decisions based on visual data. Key aspects of machine vision include: Image acquisition: Machine vision systems use various...
    computational imaging
    Computational imaging refers to the use of computational techniques, algorithms, and hardware to enhance or enable imaging capabilities beyond what traditional optical systems can achieve. It involves the integration of digital processing with imaging systems to improve image quality, extract additional information from captured data, or enable novel imaging functionalities. Principles: Computational imaging combines optics, digital signal processing, and algorithms to manipulate and...
    Research & TechnologyeducationEuropeGauss Centre for SupercomputingOpticsTest & Measurementmachine learningSoftwareBiophotonicsmachine visioncoronavirusCOVID-19supercomputingbiomedicinecomputational imagingcomputational modeling

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