Marilla came briskly forward as Matthew opened the door. But when her eyes fell of the odd little figure in the stiff, ugly dress, with the long braids of red hair and the eager, luminous eyes, she ...

The Young Architect Workshop (YArch, pronounced “why arch”) is a workshop for junior graduate students and research-active undergraduate students studying computer architecture and related fields.

This course provides a comprehensive introduction to computer vision. Major topics include image processing, detection and recognition, geometry-based and physics-based vision and video analysis.

Javascript is required for the SCS calendar.

The Caterpillar and Alice looked at each other for some time in silence: at last the Caterpillar took the hookah out of its mouth, and addressed her in a languid, sleepy voice. `Who are you?' said the ...

Recent CSD Ph.D. grad Juncheng Yang received the 2025 ACM SIGOPS Dennis M. Ritchie Doctoral Dissertation Award for his contributions to and impact on software systems research.

This webpage is a benchmark data set for keystroke dynamics. It is a supplement to the paper "Comparing Anomaly-Detection Algorithms for Keystroke Dynamics," by Kevin Killourhy and Roy Maxion, ...

Homepage of Michael KaessAbstract Underwater perception and 3D surface reconstruction are challenging problems with broad applications in construction, security, marine archaeology, and environmental ...

SCS has established an endowed research fund to support CMU students and honor the life of Natasha Parker, an SCS undergraduate who continuously gave back to the school. Carnegie Mellon University's ...

Ten Carnegie Mellon doctoral students pursuing artificial intelligence research will receive support from Amazon through the company's new AI Ph.D. Fellowship Program. The students come from across ...

Students in the new, experimental AI Tools for Software Development course learn how to apply a software engineering mindset to make AI tools more reliable. It took a room full of Carnegie Mellon ...

A tool developed by CMU researchers, including LTI faculty member Chenyan Xiong, could make it easier to identify patients at risk for cancer, bolstering early detection — a crucial step for improving ...