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    <title>model-optimization | SKKU IRIS Lab</title>
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    <description>model-optimization</description>
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      <title>model-optimization</title>
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      <title>IRIS Lab Wins Top Excellence Award at the Nota AI On-Device AI Optimization Challenge</title>
      <link>https://iris-lab.skku.edu/post/nota/</link>
      <pubDate>Mon, 29 Jun 2026 00:00:00 +0000</pubDate>
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      <description>&lt;p&gt;IRIS 연구실 소재현, 연상흠, 강도영 연구원으로 구성된 Team IRIS가 한국정보과학회 KCC 2026에서 개최된 Nota AI 온디바이스 AI 최적화 경진대회에서 최우수상을 수상했습니다.&lt;/p&gt;
&lt;p&gt;본 대회는 총 3단계로, 1단계에서는 Nota AI의 CLI 기반 온디바이스 최적화 플랫폼인 NetsPresso를 활용한 모델 최적화를, 2단계에서는 Raspberry Pi 5 환경에서의 자율 최적화를, 마지막 본선에서는 발표 평가를 진행했습니다. Team IRIS는 각 단계에서 우수한 성적을 거두며 최종 최우수상을 수상했습니다.&lt;/p&gt;
&lt;p&gt;이번 챌린지는 알고리즘과 시스템 두 측면을 모두 아우르는 과제로, 팀원들이 이론과 실무 양면에서 깊이 있는 경험을 쌓는 계기가 되었고, 실제 산업 환경에 적용 가능한 실용적 AI 개발을 향한 첫걸음이 되기를 기대합니다.&lt;/p&gt;
&lt;p&gt;Team IRIS, composed of researchers Jaehyeon So, Sangheum Yeon, and Do Yeong Kang from the IRIS Lab, has won the Top Excellence Award at the Nota AI On-Device AI Optimization Challenge, held as part of KCC 2026 by the Korea Computer Congress.&lt;/p&gt;
&lt;p&gt;The competition consisted of three stages: model optimization using NetsPresso, Nota AI&amp;rsquo;s CLI-based on-device optimization platform; autonomous optimization on Raspberry Pi 5; and a final presentation evaluation. Team IRIS demonstrated strong, consistent performance across all three stages to claim the top honor.&lt;/p&gt;
&lt;p&gt;The challenge required participants to address both algorithmic and system-level considerations simultaneously, providing the team with hands-on experience that bridged theory and practice. This achievement marks a meaningful step toward developing practical AI solutions applicable to real-world industry environments.&lt;/p&gt;
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