Tom Yeh

Dr. Tom Yeh is an Associate Professor of Computer Science at the University of Colorado Boulder. Yeh is the Director of the Center for the Brain, AI, and Child (BAIC) and a faculty member of the Mortenson Center in Global Engineering. His research interests include AI, ethics of AI, Generative AI, assistive technology, 3D printing, STEM education, computer vision, brain imaging, and citizen science. Prior to joining CU, Yeh received his PhD from the Massachusetts Institute of Technology for studying vision-based user interfaces. He was a postdoctoral fellow at the University of Maryland Institute for Advanced Computer Studies (UMIACS). He has published more than 70 articles across these research interest areas. He has received best paper awards and honorable mentions from CHI, UIST, SIGCSE, ASSETS, and MobileHCI. Yeh's research projects are funded by the National Science Foundation (NSF), the National Institute of Health (NIH), the Defense Advanced Research Projects Agency (DARPA), the Knight Foundation, and the Piton Foundation.

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Introduction to Generative AI (Coursera) Coursera
University of Colorado Boulder

Introduction to Generative AI (Coursera)

Embark on a journey into the world of Generative AI with our beginner-friendly course. From understanding the core principles behind Transformer models and ChatGPT to mastering Generative Adversarial Networks (GANs) and the intricacies of Diffusion Models, this course is designed to equip you with the knowledge needed to generate text and images using cutting-edge technology. Whether you're a student, professional, or enthusiast, this course will provide you with a strong foundation in generative models, preparing you for more advanced studies.

Jun 29th 2026
4 Weeks
Introduction to Computer Vision (Coursera) Coursera
University of Colorado Boulder

Introduction to Computer Vision (Coursera)

Dive into 'Introduction to Computer Vision' - a course designed to equip you with the skills needed to train computers to see and interpret visual data like humans do. From basic concepts to advanced deep learning methods, this course covers everything from image analysis to AI-generated content, ensuring you're well-versed in both traditional and cutting-edge techniques.

Jun 29th 2026
4 Weeks
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