Update projects.html

Author: jmduarte

projects.html

@@ -56,7 +56,7 @@ <h3> Talks </h3>
 		<p style="line-height:1.3">
 		List of various presentations from the community<br>
 		<ul>
-			<li> K. Pedro, FPGA-accelerated machine learning inference as a service for particle physics computing, CHEP 2019, <a href="https://indico.cern.ch/event/773049/contributions/3474731/"><slides</a></li>
+			<li> K. Pedro, FPGA-accelerated machine learning inference as a service for particle physics computing, CHEP 2019, <a href="https://indico.cern.ch/event/773049/contributions/3474731/">slides</a></li>
 			<li> J. Duarte, Machine Learning on FPGAs for low latency and high throughput inference, eScience 2019, <a href="https://escience2019.sched.com/event/Uuiy/machine-learning-on-fpgas-for-low-latency-and-high-throughput-inference?iframe=yes&w=100%&sidebar=yes&bg=no#">slides</a></li>
 			<li> M. Liu, FPGA-accelerated machine learning inference as a solution for particle physics computing challenges, PASC 2019, <a href="https://pasc19.pasc-conference.org/program/schedule/presentation/?id=msa134&sess=sess164">slides</a></li>
 			<li> J. Ngadiuba, hls4ml: deploying deep learning on FPGAs for trigger and data acquisition, ACAT 2019, <a href="https://indico.cern.ch/event/708041/contributions/3269690/">slides</a></li>