250901 글로벌세미나
1. 주제: Beyond Intelligent Computing: Scalable, Efficient, and Trustworthy AI Accelerators2. 연사: 김보경 교수, Rutgers University3. 장소: J107호4. 강의 개요Next-generation AI accelerators must deliver not
only raw speed, but also scalability and efficiency across diverse workloads.
This talk begins with our latest research on novel architectures and optimized
dataflows (i.e., computation–communication co-optimization) that break
traditional performance–energy trade-offs. To demonstrate the real-world impact
of these technologies, I will introduce our custom seizure classification chip,
capable of real-time EEG analysis and achieving high accuracy under tight power
constraints for clinical use. Building on this foundation, we turn to the
emerging imperative of trustworthiness: as AI and ML systems increasingly
underpin critical decision-making, ensuring reliability, robustness, and
privacy becomes paramount, alongside efficiency. I will present an accelerator
architecture tailored for differentially private training, enabling
privacy-preserving machine learning without compromising accuracy. Together,
these advances illustrate how scalable, efficient, and trustworthy AI
accelerators can move beyond intelligent computing toward safe and impactful
deployment in life-critical domains.
2025.09.02