来自研讨会主席的信息

DEXA Workshops Pub Date : 2020-11-01 DOI:10.1109/DEXA.2006.93

Gerhard Weiss, Philip S. Yu, Longbing Cao, A. Bazzan, A. Symeonidis, V. Gorodetsky

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引用次数: 1

摘要

对于大规模实验科学来说，这是一个激动人心的时刻——物理实验的能量和分辨率都在不断提高;为观测地球和深空提供了新的和更高质量的图像;先进的机器学习技术自动化了部分科学工作流程。此外，计算和数据管理基础设施正在进入百亿亿级，具有接收和处理更大数据集的能力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Message from the Workshop Chairs

This is an exciting time for large-scale experimental sciencephysics experiments are being scaled up in energy and resolution; new and higher quality images are available for the observation of earth and deep space; advanced machine learning techniques automate parts of the scientific workflow. Additionally, computational and data management infrastructure is moving into the exascale, with the capacity to ingest and process ever larger datasets.

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DEXA Workshops

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