AI-Powered Microchips and Systems

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The AI-Powered Microchips and Systems cluster focuses on creating intelligent hardware and software platforms that integrate cutting-edge algorithms with next-generation devices and systems. Building on strengths in statistical signal processing, machine learning, data mining, image processing, computer vision, and game theory, faculty are advancing research in AI-powered microchips, AI-driven healthcare systems, edge intelligence, AI-native communication and network systems, and trustworthy and explainable artificial intelligence. Their work spans applications such as analyzing medical images and video, interpreting genomic data to detect cancer markers, identifying toxins and pathogens in water supplies, and enabling advanced facial recognition for security. Ongoing projects explore digital twins and virtual, augmented, and extended reality (VR/AR/XR) to enhance decision-making and system resilience. These efforts are closely tied to interdisciplinary collaborations with the Miller School of Medicine and the College of Arts and Sciences, where novel signal and image processing methodologies are applied to biomedical and societal challenges. As the cluster grows, the department is expanding its ability to design AI-powered systems that meet the demands of big data applications while navigating complex requirements for privacy, security, and regulation.

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