Update A3D3 grant no. (#941)

* Update A3D3 grant no. * Update reference.rst --------- Co-authored-by: Javier Duarte <[email protected]>
fastmachinelearning · Dec 12, 2023 · 5c2d9c6 · 5c2d9c6
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diff --git a/README.md b/README.md
@@ -142,7 +142,7 @@ 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>).
+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">PHY-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>).
 
 <p align="center">
 <img src="https://github.com/fastmachinelearning/hls4ml/assets/29201053/bd1217d4-9930-47b7-8917-ad3fc430c75d" alt="A3D3" width="130"/>

diff --git a/docs/reference.rst b/docs/reference.rst
@@ -96,22 +96,22 @@ Please use the following text for this acknowledgment:
 
 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>`_).
+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. `PHY-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
+.. image:: https://github.com/fastmachinelearning/hls4ml/assets/29201053/bd1217d4-9930-47b7-8917-ad3fc430c75d
+    :height: 130
     :align: center
 
 .. image:: https://github.com/fastmachinelearning/hls4ml/assets/4932543/16e77374-9829-40a8-800e-8d12018a7cb3
-    :height: 200
+    :height: 130
     :align: center
 
 .. image:: https://github.com/fastmachinelearning/hls4ml/assets/4932543/de6ca6ea-4d1c-4c56-9d93-f759914bbbf9
-    :height: 200
+    :height: 130
     :align: center
 
 .. image:: https://github.com/fastmachinelearning/hls4ml/assets/4932543/7a369971-a381-4bb8-932a-7162b173cbac
-    :height: 200
+    :height: 130
     :align: center
 
 Contributors