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Copy file name to clipboardExpand all lines: _config.yml
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@@ -2,39 +2,33 @@ title: Fast Machine Learning Foundation
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short_title: FastML Foundation
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email: fml@fastmachinelearning.org
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one_liner: Real-time and accelerated ML for fundamental sciences
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one_liner: A non-profit foundation advancing real-time and accelerated ML for fundamental sciences
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description: >
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Fast ML Lab is a research collective of physicists, engineers, and computer scientists
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interested in deploying machine learning algorithms for unique and challenging scientific applications. Our projects
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range from real-time, on-detector and low latency machine learning applications to high-throughput
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heterogeneous computing big data challenges. We are interested in deploying sophisticated machine
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learning algorithms to advance the exploration of fundamental physics from the world's biggest colliders
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to the most intense particle beams to the cosmos.
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Fast Machine Learning Foundation is a non-profit created to develop tools and training for machine learning
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algorithms in unique and challenging scientific applications. We bring together physicists, engineers, and
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computer scientists to build and deploy real-time, on-detector, low-latency systems and high-throughput
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heterogeneous computing workflows that enable discovery from the world's biggest colliders to the cosmos.
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news_byline: >
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It's official! The registration and call for abstracts for the [2022 workshop](https://indico.cern.ch/event/1156222/) is now open. It will be a hybrid workshop hosted by Southern Methodist University from Oct 3 -- Oct 6, 2022.
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To see past editions, visit our [virtual 2020 workshop](https://indico.cern.ch/event/924283/) and [2019 workshop](https://indico.cern.ch/event/822126/) webpages.
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We share upcoming and recent events for the community.
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collaboration:
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byline: We are a community that fosters knowledge transfer of accelerated and real-time artificial intelligence applications to fundamental science. By joining the community, you agree to abide by our codes of conduct and policies of collaboration.
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byline: We are a community that fosters knowledge transfer of accelerated and real-time artificial intelligence for fundamental science. By participating, you agree to abide by our code of conduct and collaboration policies.
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navbar:
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logo: /images/fml.png
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links:
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- name: Home
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link: "#home"# Note that for links to autoscroll to anchors on the main page, only the #anchor is needed (no preceding slash)
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- name: About
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link: "#about"# Note that for links to autoscroll to anchors on the main page, only the #anchor is needed (no preceding slash)
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