Encompassing artificial intelligence, graphics, hardware and software systems, programming languages, security and privacy, and theory, the Computer Science Ph.D. program is the foundation of computer ...

Machine learning is dedicated to furthering scientific understanding of automated learning and to producing the next generation of tools for data analysis and decision-making based on that ...

Introduction In this lab, you will examine a JUnit test for my two library classes that implement the Stack interface (ArrayStack and LinkedStack) and learn how to ...

In addition to the engine, the Scone system comes with a number of knowledge-base files, each of which is a collection of descriptions and statements about the entities in some subject area. The "core ...

I am a Postdoctoral Teaching Fellow in CMU’s Computer Science Department. I did my PhD at CMU also in CSD where I was co-advised by Professor Justine Sherry and Professor Srinivasan Seshan. My thesis ...

Over the last seven years, I've read perhaps four hundred papers in computer science and math. Thirty or so were well-written. These anomalies aside, extracting meaning from most of the papers was ...

Team Chiron, a collaboration between researchers from CMU and the University of Pittsburgh, will compete in the second round of DARPA's Triage Challenge.

From smart phones, to multi-core CPUs and GPUs, to the world's largest supercomputers, parallel processing is ubiquitous in modern computing. The goal of this course is to provide a deep understanding ...

Nathan Beckmann and Tianqi Chen. From smart phones, to multi-core CPUs and GPUs, to the world's largest supercomputers, parallel processing is ubiquitous in modern computing. The goal of this course ...

We now shift from our discussion of simple linear models to neural networks. Neural networks are a class of models that go beyond linear classifiers. Recall that the three main components of a machine ...