Tianqi Chen, an assistant professor in the Machine Learning Department and Computer Science Department at Carnegie Mellon University, has received a Faculty Early Career Development Program (CAREER) ...

Or, if you're cooking soup for someone, you could cook enough for several other people based on the information provided by the technology." Forlizzi has spent the last two decades exploring how older ...

Frank Pfenning, a professor in Carnegie Mellon University's School of Computer Science, has been selected to receive the 2026 Herbrand Award for Distinguished Contributions to Automated Reasoning.

This book, with minor revisions, is back in print from Dover Publications and can be purchased in paperback form at Amazon.com, Barnes & Noble, etc. An e-book version will be released in late February ...

Personal: Commercial pilot and certified flight instructor. I own a twin-engine Piper Seneca II, nicknamed "The Beast". As a volunteer pilot I occasionally transport organs or patients for local ...

All course announcements, discussion, lecture notes, lecture videos, and homework will be on Diderot. If you are not officially enrolled in the course but want to follow along, send email to ...

Course Description In this course we will explore the Fourier analysis of Boolean functions, f : {0,1} n → {0,1}. The powerful techniques from this field have application in numerous areas of computer ...

I am an Associate Professor in the Carnegie Mellon Robotics Institute. I think that creativity – making things and ideas! – is the best thing that humans do. So my research involves producing creative ...

... (the techniques used in modern brainwashing) are not like the medieval torture of the rack and the thumb-screw. They are subtler, more prolonged, and intended to ...

Machine Learning: An Artificial Intelligence Approach. Volume 2 Michalski, Carbonell, and Mitchell, eds., Morgan-Kaufman, 1986. Machine Learning: An Artificial ...

SEPA readings are from Pressman, Software Engineering: A Practitioner's Approach. They are optional (since the text is optional), but may be a useful supplement to the lectures. Other (non-SEPA) ...

Prerequisites A strong undergraduate background in linear algebra (e.g., CMU's 21-341), discrete probability (e.g., CMU's 15-359), and theory of computation (e.g., CMU's 15-251). No background in ...