Update README.md

Author: jmduarte

README.md

@@ -140,7 +140,6 @@ 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>).