To free wearable tech from the burden of batteries, SCS researchers developed Power-Over-Skin, which allows electricity to travel through the human body and could one day power battery-free devices ...
A technical introduction to the fundamentals of programming with an emphasis on producing clear, robust, and reasonably efficient code using top-down design, informal analysis, and effective testing ...
I am a postdoctoral fellow at Carnegie Mellon University. I was awarded a PhD from CMU's Machine Learning Department in December 2010. I am interested in machine learning techniques for structured ...
A CMU team developed Pangea to make AI and large language models accessible to people who speak languages beyond the Western-centric ones traditionally used to train these models.
The handout Automated Theorem Proving contains a complete set of notes as of the indicated date. This includes all incremental handouts with possible corrections and updates. Note that I do not ...
This is Graham Neubig's lab at the Language Technologies Institute of Carnegie Mellon University. We do research on natural language processing and machine learning, specifically machine translation, ...
Realistic image manipulation is challenging because it requires modifying the image appearance in a user-controlled way, while preserving the realism of the result. Unless the user has considerable ...
Ashique KhudaBukhsh is currently an Assistant Professor at the Golisano College of Computing and Information Sciences (GCCIS), Rochester Institute of Technology (RIT). Prior to this role, he was a ...
In a domain of research defined by many of the greatest challenges facing computer scientists and roboticists today, perhaps none is greater than the creation of algorithms and programming language to ...
This is a guide to editing and executing Standard ML (SML) programs at Carnegie Mellon University, using the Standard ML of New Jersey system. This document was written by Peter Lee (petel@cs.cmu.edu) ...