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Add funding acknowledgements #918

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Nov 14, 2023
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Add funding acknowledgements #918

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67e83c0
funding
jmduarte Nov 10, 2023
93c0e4c
Update README.md
jmduarte Nov 10, 2023
1a74df7
Update reference.rst
jmduarte Nov 13, 2023
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8 changes: 8 additions & 0 deletions README.md
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Expand Up @@ -140,3 +140,11 @@ binary/ternary networks:
If you benefited from participating in our community, we ask that you please acknowledge the Fast Machine Learning collaboration, and particular individuals who helped you, in any publications.
Please use the following text for this acknowledgment:
> We acknowledge the Fast Machine Learning collective as an open community of multi-domain experts and collaborators. This community and \<names of individuals\>, in particular, were important for the development of this project.

# Funding
We gratefully acknowledge previous and current support from the U.S. National Science Foundation (NSF) Harnessing the Data Revolution (HDR) Institute for <a href="https://a3d3.ai">Accelerating AI Algorithms for Data Driven Discovery (A3D3)</a> under Cooperative Agreement No. <a href="https://www.nsf.gov/awardsearch/showAward?AWD_ID=2117997">OAC-2117997</a>, U.S. Department of Energy (DOE) Office of Science, Office of Advanced Scientific Computing Research under the Real‐time Data Reduction Codesign at the Extreme Edge for Science (XDR) Project (<a href="https://science.osti.gov/-/media/grants/pdf/foas/2021/SC_FOA_0002501.pdf">DE-FOA-0002501</a>), DOE Office of Science, Office of High Energy Physics Early Career Research Program (<a href="https://pamspublic.science.energy.gov/WebPAMSExternal/Interface/Common/ViewPublicAbstract.aspx?rv=df0ae4ab-a46e-481a-9acc-3856b6b041e5&rtc=24&PRoleId=10">DE-SC0021187</a>, DE-0000247070), and the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program (Grant No. <a href="https://doi.org/10.3030/772369">772369</a>).

<img src="https://github.com/fastmachinelearning/hls4ml/assets/4932543/d4b6e2a3-3537-4413-9809-8153a7d624d6" alt="A3D3" height="200"/>
<img src="https://github.com/fastmachinelearning/hls4ml/assets/4932543/16e77374-9829-40a8-800e-8d12018a7cb3" alt="NSF" height="200"/>
<img src="https://github.com/fastmachinelearning/hls4ml/assets/4932543/de6ca6ea-4d1c-4c56-9d93-f759914bbbf9" alt="DOE" height="200"/>
<img src="https://github.com/fastmachinelearning/hls4ml/assets/4932543/7a369971-a381-4bb8-932a-7162b173cbac" alt="ERC" height="200"/>
26 changes: 23 additions & 3 deletions docs/reference.rst
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@@ -1,6 +1,6 @@
============================
Citation and Contributors
============================
===========================================
Citation, Acknowledgments, and Contributors
===========================================


Citation
Expand Down Expand Up @@ -93,6 +93,26 @@ Please use the following text for this acknowledgment:
We acknowledge the Fast Machine Learning collective as an open community of multi-domain experts and collaborators. This community and \<names of individuals\>, in particular, were important for the development of this project.


Funding
=======
We gratefully acknowledge previous and current support from the U.S. National Science Foundation (NSF) Harnessing the Data Revolution (HDR) Institute for `Accelerating AI Algorithms for Data Driven Discovery (A3D3) <https://a3d3.ai>`_ under Cooperative Agreement No. `OAC-2117997 <https://www.nsf.gov/awardsearch/showAward?AWD_ID=2117997>`_, U.S. Department of Energy (DOE) Office of Science, Office of Advanced Scientific Computing Research under the Real‐time Data Reduction Codesign at the Extreme Edge for Science (XDR) Project (`DE-FOA-0002501 <https://science.osti.gov/-/media/grants/pdf/foas/2021/SC_FOA_0002501.pdf>`_), DOE Office of Science, Office of High Energy Physics Early Career Research Program (`DE-SC0021187 <https://pamspublic.science.energy.gov/WebPAMSExternal/Interface/Common/ViewPublicAbstract.aspx?rv=df0ae4ab-a46e-481a-9acc-3856b6b041e5&rtc=24&PRoleId=10>`_, DE-0000247070), and the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program (Grant No. `772369 <https://doi.org/10.3030/772369>`_).

.. image:: https://github.com/fastmachinelearning/hls4ml/assets/4932543/d4b6e2a3-3537-4413-9809-8153a7d624d6
:height: 200
:align: center

.. image:: https://github.com/fastmachinelearning/hls4ml/assets/4932543/16e77374-9829-40a8-800e-8d12018a7cb3
:height: 200
:align: center

.. image:: https://github.com/fastmachinelearning/hls4ml/assets/4932543/de6ca6ea-4d1c-4c56-9d93-f759914bbbf9
:height: 200
:align: center

.. image:: https://github.com/fastmachinelearning/hls4ml/assets/4932543/7a369971-a381-4bb8-932a-7162b173cbac
:height: 200
:align: center

Contributors
============

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