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  <title><![CDATA[IDEaS Awards Grants and Cyberinfrastructure Resources for Thematic Programs and Research in AI]]></title>
  <body><![CDATA[<p><span><span><span>In keeping with a strong strategic focus on AI for the 2023-2024 Academic Year, the Institute for Data Engineering and Science (IDEaS) has announced the winners of its 2023 Seed Grants for Thematic Events in AI and Cyberinfrastructure Resource Grants to support research in AI requiring secure, high-performance computing capabilities. Thematic event awards recipients will receive $8K to support their proposed workshop or series and Cyberinfrastructure winners will receive research support consisting of 600,000 CPU hours on the AMD Genoa Server as well as 36,000 hours of NVIDIA DGX H-100 GPU server usage and 172 TB of secure storage.</span></span></span></p>

<h3><span><span><span><strong><span><span>Congratulations to the award winners listed below!</span></span></strong></span></span></span></h3>

<h4>&nbsp;</h4>

<h4><span><span><span><strong>Thematic Events in AI Awards </strong></span></span></span></h4>

<p><span><span><span><em><span><span>Proposed Workshop:&nbsp;“Foundation of scientific AI (Artificial Intelligence) for Optimization of Complex Systems”</span></span></em><br />
<span><span>Primary PI: Peng Chen, Assistant Professor, School of Computational Science and Engineering</span></span></span></span></span></p>

<p><span><span><span><em><span><span>Proposed Series: “Guest Lecture Seminar Series on Generative Art and Music”</span></span></em><br />
<span><span>Primary PI: Gil Weinberg, Professor, School of Music </span></span></span></span></span></p>

<h4>&nbsp;</h4>

<h4><span><span><span><strong>Cyber-Infrastructure Resource Awards</strong></span></span></span></h4>

<p><span><span><span><span><span><span><span>Title: <em>Human-in-the-Loop Musical Audio Source Separation</em><br />
Topics: Music Informatics, Machine Learning<br />
Primary PI: Alexander Lerch, Associate Professor, School of Music</span></span></span></span></span></span></span><br />
<span><span><span><span><span><span><span>Co-PIs: Karn Watcharasupat, Music Informatics Group | Yiwei Ding, Music Informatics Group | Pavan Seshadri, Music Informatics Group</span></span></span></span></span></span></span></p>

<p><span><span><span><span><span><span><span>Title: <em>Towards A Multi-Species, Multi-Region Foundation Model for Neuroscience</em><br />
Topics: Data-Centric AI, Neuroscience<br />
Primary PI: Eva Dyer,</span></span></span></span> <span><span><span><span>Assistant Professor, Biomedical Engineering</span></span></span></span></span></span></span></p>

<p><span><span><span><span><span><span><span>Title: <em>Multi-point Optimization for Building Sustainable Deep Learning Infrastructure</em><br />
Topics: Energy Efficient Computing, Deep Learning, AI Systems OPtimization</span></span></span></span></span></span></span><br />
<span><span><span><span><span><span><span>Primary PI: Divya Mahajan, Assistant Professor, School of Electrical and Computer Engineering, School of Computer Science</span></span></span></span></span></span></span></p>

<p><span><span><span><span><span><span><span>Title: <em>Neutrons for Precision Tests of the Standard Model</em><br />
Topics: Nuclear/Particle Physics, Computational Physics</span></span></span></span></span></span></span><br />
<span><span><span><span><span><span><span>Primary PI: Aaron Jezghani - OIT-PACE</span></span></span></span></span></span></span></p>

<p><span><span><span><span><span><span><span>Title: <em>Continual Pretraining for Egocentric Video</em></span></span></span></span></span></span></span><br />
<span><span><span><span><span><span><span>Primary PI: : Zsolt Kira, Assistant Professor, School of Interactive Computing</span></span></span></span></span></span></span><br />
<span><span><span><span><span><span><span>Co-PI: Shaunak Halbe, Ph.D. Student, Machine Learning</span></span></span></span></span></span></span></p>

<p><span><span><span><span><span><span><span>Title: <em>Training More Trustworthy LLMs for Scientific Discovery via Debating and Tool Use</em><br />
Topics: Trustworthy AI, Large-Language Models, Multi-Agent Systems, AI Optimization<br />
Primary PIs: Chao Zhang, School of Computational Science and Engineering</span></span></span></span>&nbsp;<span><span><span><span>&amp; Bo Dai, College of Computing</span></span></span></span></span></span></span></p>

<p><span><span><span><span><span><span><span>Title: <em>Scaling up Foundation AI-based Protein Function Prediction with IDEaS Cyberinfrastructure</em></span></span></span></span></span></span></span><br />
<span><span><span><span><span><span><span>Topics: AI, Biology</span></span></span></span></span></span></span><br />
<span><span><span><span><span><span><span>Primary PI: Yunan Luo, Assistant Professor, School of Computational Science and Engineering</span></span></span></span>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; </span></span></span></p>

<ul>
	<li><span><span><span>Christa M. Ernst</span></span></span></li>
</ul>
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      <value><![CDATA[Grants will support AI themed workshops and seminars, and data heavy interdisciplinary research in new directions in Artificial Intelligence]]></value>
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      <value><![CDATA[Grants will support AI themed workshops and seminars, and data heavy interdisciplinary research in new directions in Artificial Intelligence.]]></value>
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      <value><![CDATA[<p><span><span><span>In keeping with a strong strategic focus on AI for the 2023-2024 Academic Year, the Institute for Data Engineering and Science (IDEaS) has announced the winners of its 2023 Seed Grants for Thematic Events in AI and Cyberinfrastructure Resource Grants.</span></span></span></p>
]]></value>
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      <email><![CDATA[christa.ernst@research.gatech.edu]]></email>
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      <value><![CDATA[<p><span><strong>Christa M. Ernst - Research Communications Program Manager</strong><br />
Robotics | Data Engineering | Neuroengineering</span></p>
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