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Merge pull request #22 from fastmachinelearning/update_9_2021
updates for 9/2021
2 parents 4713211 + 2df1149 commit 5c509ab

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.gitignore

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collaboration.html

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http://templated.co
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Version : 1.0
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<h3> Conduct </h3>
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<p style="line-height:1.3"> We strive for and require the respectful treatment of all of our colleagues. Therefore, we do not tolerate any kind of bullying or harassment in our community. This is a community dedicated to inclusive behavior, which acknowledges the need, as well as advocates for, the equitable treatment of all members of our community. This includes all axes of human identity related to age, race, ethnicity, nationality, gender, sexuality, physical ability/accessibility. It also includes equal respect and equitable support for early-career participants. <br><br>
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Please contact community contacts if issues arise: Javier Duarte, Jen Ngadiuaba, Nhan Tran <br>
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<b> If you are interested in being a part of the community contact us, and fill out <a href="https://docs.google.com/forms/d/e/1FAIpQLSe4cLnjWdssdIWuFU1o0NFfRqjc78P0nldOjmiiuKaVVpRYhg/viewform"> this form </a>. </b> </p>
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<b> If you are interested in being a part of the community contact us, and fill out <a href="https://docs.google.com/forms/d/e/1FAIpQLSe4cLnjWdssdIWuFU1o0NFfRqjc78P0nldOjmiiuKaVVpRYhg/viewform"> this form </a>. </b> </p>
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<h3> Project Activity </h3>
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<p style="line-height:1.3">
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<ul>
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<li> Those who initiate and manage projects have final say regarding who they would like to participate and in which capacity. </li>
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<li> Projects may be private or public. </li>
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<li> To search for a project, feel free to introduce yourself in the #general channel and ask if anyone is interested in collaboration. </li>
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<li> To search for a project, feel free to introduce yourself in the #general channel and ask if anyone is interested in collaboration. </li>
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</p>
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<h3> Authorship </h3>
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We request that you acknowledge the <i>Fast Machine Learning</i> collaboration if you benefited from participation in our community. Please use the following text for this acknowledgment:
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<i>We acknowledge the Fast Machine Learning collective as an open community of multi-domain experts and collaborators. This community was important for the development of this project.</i>
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<br>
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<li> Project Activity </li> <br>
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<p>&copy; Untitled. All rights reserved. | Design by <a href="http://templated.co" rel="nofollow">TEMPLATED</a>.</p>
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<p>&copy; Fast Machine Learning Lab 2021. All rights reserved. | Design by <a href="http://templated.co" rel="nofollow">TEMPLATED</a>.</p>
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fonts.css

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index.html

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<title>Fast Machine Learning Lab</title>
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<h2>Learn more!</h2>
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We are pleased to announce our <a href="https://indico.cern.ch/event/924283/"> virtual 2020 workshop </a> hosted by Southern Methodist University from November 30 - December 3, 2020. We are currently open for abstract submissions and registrations. We anticipate our 2020 workshop to grow in applications and results from our <a href="https://indico.cern.ch/event/822126/"> 2019 workshop </a>.
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We anticipate our next workshop to take place in spring 2022.
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Our <a href="https://indico.cern.ch/event/924283/">virtual 2020 workshop</a> was hosted by Southern Methodist University from November 30 - December 3, 2020, and presented new applications and results.
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Our first <a href="https://indico.cern.ch/event/822126/">2019 workshop</a> was held at Fermilab.
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<!-- Read a short <a href="images/coproc_whitepaper_v0.pdf">white paper</a> about how accelerated ML can be applied across many fields of fundamental physics! Our first <a href="https://indico.cern.ch/event/822126/"> international workshop </a> was hosted at Fermilab in September 2019. Lookout for our 2020 workshop announcement! -->
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<a href="#" class="image image-full"><img src="images/CCSepOct21_AI_frontis-635x333.jpeg" width=282 alt="" /></a>
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<p>An article in the CERN Courier on "Hunting anomalies with an AI trigger"</p>
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<a href="https://cerncourier.com/a/hunting-anomalies-with-an-ai-trigger/" class="button">CERN Courier</a>
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<a href="https://www.nature.com/natmachintell/volumes/3/issues/8" class="button">Nat. Mach. Intell.</a>
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<a href="https://home.cern/news/news/physics/speeding-machine-learning-particle-physics" class="button">CERN News</a>
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<a href="#" class="image image-full"><img src="images/mlperf.png" width=282 alt="" /></a>
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<div class="box" height=375>
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<p>hls4ml team submits results for the first Tiny MLPerf Inference Benchmark</p>
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<a href="https://mlcommons.org/en/news/mlperf-tiny-v05/" class="button">Tiny MLPerf</a>
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<a href="#" class="image image-full"><img src="images/hls4ml.png" width=282 alt="" /></a>
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<p>hls4ml: an open-source code framework for translating machine learning algorithms directly into FPGA firmware</p>
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<a href="https://fastmachinelearning.github.io/hls4ml/" class="button">hls4ml home</a>
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<a href="https://fastmachinelearning.org/hls4ml/" class="button">hls4ml home</a>
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<a href="#" class="image image-full"><img src="images/xilinx.png" width=282 alt="" /></a>
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<p>A story from Xilinx on how we use high level synthesis to find the best events at the Large Hadron Collider</p>
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<a href="https://www.xilinx.com/publications/powered-by-xilinx/cerncasestudy-final.pdf" class="button">Visit Xilinx</a>
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<p>Microsoft Azure collaboration deploying FPGAs to accelerate ML to prototype computing solutions for future big science experiments</p>
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<a href="https://customers.microsoft.com/en-us/story/724137-fermilab-led-team-tests-azure-ai-for-particle-physics-data-challenge" class="button">Visit Microsoft</a>
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<a href="https://news.fnal.gov/2019/08/a-glimpse-into-the-future-accelerated-computing-for-accelerated-particles/" class="button">Fermi News</a>
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<a href="http://news.mit.edu/2019/boosting-computing-power-for-future-particle-physics-mit-lns-0819" class="button"Visit>MIT News</a>
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<p>Zenuity has become the first automotive to team up with CERN to develop ML for autonomous drive cars</p>
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<a href="https://www.prnewswire.co.uk/news-releases/zenuity-and-cern-team-up-on-fast-machine-learning-for-autonomous-driving-855081160.html" class="button">See the press</a>
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<p>&copy; Untitled. All rights reserved. | Design by <a href="http://templated.co" rel="nofollow">TEMPLATED</a>.</p>
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<p>&copy; Fast Machine Learning Lab 2021. All rights reserved. | Design by <a href="http://templated.co" rel="nofollow">TEMPLATED</a>.</p>
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people.html

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<h3> Lehigh University </h3>
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<a href="javascript:showhide('rkansal')"> Raghav Kansal</a> (Graduate, Physics);
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<a href="javascript:showhide('fmokhtar')"> Farouk Mokhtar</a> (Graduate, Physics);
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<a href="javascript:showhide('vrazavim')"> Vesal Razavimaleki</a> (Undergraduate, Engineering Physics);
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<a href="javascript:showhide('rroy')"> Rushil Roy</a> (Undergraduate, Electrical Engineering);
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<a href="javascript:showhide('jliang')"> Jason Liang</a> (Undergraduate, Electrical Engineering);
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<a href="javascript:showhide('tnguyen')"> Tai Nguyen</a> (Undergraduate, Physics);
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<a href="javascript:showhide('rkastner')"> Ryan Kastner</a> (PhD, Computer Science);
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<a href="javascript:showhide('oweng')"> Olivia Weng</a> (Graduate, Computer Science and Engineering)
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<p>&copy; Untitled. All rights reserved. | Design by <a href="http://templated.co" rel="nofollow">TEMPLATED</a>.</p>
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<p>&copy; Fast Machine Learning Lab 2021. All rights reserved. | Design by <a href="http://templated.co" rel="nofollow">TEMPLATED</a>.</p>
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