I am a UPMC professor of Computer Science in the Machine Learning Department, School of Computer Science at Carnegie Mellon University. I work in the field of statistical machine learning (See my CV.) ...

A Tribute to Herbert A. Simon, Nobel Laureate and Artificial Intelligence Expert, Carnegie Mellon University, including memorial service, remembrances, photos, bio, work, and giving information.

navigating-intrinsic-triangulations-demo —C++ implementation and simple interactive demo of intrinsic Delaunay triangulation and intrinsic Delaunay refinement (with visualization via Polyscope).

We were interviewed about our work by WESA (the NPR radio station in Pittsburgh), and we were featured live on the local radio station KQV 1410 AM. Abstract Photo-editing software restricts the ...

Hi, I'm Arun. I am a PhD student in the Machine Learning department at CMU, where I'm advised by Pradeep Ravikumar. Previously, I got my Bachelors degree in Computer Science from Indian Institue of ...

RI faculty member Zachary Manchester received an NSF Faculty Early Career Development Program award to develop better modeling, simulation and control algorithms that will improve how robots interact ...

The area of approximation algorithms is aimed at giving provable guarantees on the performance of heuristics for hard problems. The course will present general techniques (such as convex ...

What you see is pinyin, literally 'spell out the sound'. It's a system for romanizing Chinese ideograms, used in mainland China for Mandarin, a.k.a. putonghua. Different systems are used in Hong Kong, ...

As much as Andy loves PostgreSQL, there is one part that is terrible and causes many headaches for people. Learn what it is and why it sucks.

Andy discusses what it means to have a self-driving database management system and whether it is even possible to build one.

This data set contains WWW-pages collected from computer science departments of various universities in January 1997 by the World Wide Knowledge Base (Web->Kb) project of the CMU text learning group.

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.