From computer graphics to data visualization, computers play an increasingly important role in how we see the world. Today’s software is capable of both creating rich images in two and three dimensions and rapidly digesting data from photo and video, enabling applications in computer vision and scientific observation. As such, nearly every corner of CS — including machine learning, human-computer interaction, computing and database architectures, and data science — interacts with the visual dimension.
UChicago researchers in visual computing explore every angle of this relationship, both creating and understanding visual data. They’re building new AI-driven approaches for 3D data, enhancing how humans and machines create together. Others develop novel software and systems for collecting, analyzing, and interpreting scientific data, from microscopic images to astronomical surveys. And with researchers at the Toyota Technological Institute at Chicago (TTIC), they’re pushing forward the abilities of computer vision, enabling technologies such as autonomous vehicles, robotics, and image recognition for science and industry.
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Celebrating Excellence in Human-Computer Interaction: Yudai Tanaka Named 2025 Google North America PhD Fellow
Shape n’ Swarm: Hands-On, Shape-Aware Generative Authoring for Swarm User Interfaces Wins Best Demo at UIST 2025
Redirecting Hands in Virtual Reality With Galvanic Vestibular Stimulation: UChicago Lab to Present First-of-Its-Kind Work at UIST 2025
Breaking New Ground in Machine Learning and AI: New Platform Prophet Arena Redefines How We Evaluate AI’s Intelligence
University of Chicago’s EPiQC Wins Prestigious IEEE Synergy Award for Quantum Computing Collaboration