The SCS Graduate Application Support Program is an annual student-led initiative made available to applicants to our doctoral programs. Not all pre-college students have access to guidance from people ...

Scroll down to use the panel below.

`Here!' cried Alice, quite forgetting in the flurry of the moment how large she had grown in the last few minutes, and she jumped up in such a hurry that she tipped over the jury-box with the edge of ...

This dataset was collected and prepared by the CALO Project (A Cognitive Assistant that Learns and Organizes). It contains data from about 150 users, mostly senior management of Enron, organized into ...

The Marxen-Buntrock 5-state busy beaver. Running on an initially empty tape, the machine appears to be caught in some kind of loop, Yet, it halts after an absolutely astonishing 47,176,870 steps. This ...

Natural Language Processing (NLP) researchers study fundamental problems in automating textual and linguistic analysis, generation, representation, and acquisition. While NLP is applied in a huge ...

This page links to the individual websites for various instances of this course. Spring 2026 Taught by Yang Liu and Richard Peng Fall 2025 Taught by Daniel Anderson and Danny Sleator Spring 2025 ...

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 ...

Department of Computer Science Carnegie Mellon University 5000 Forbes Avenue Pittsburgh, PA 15213-3890 Office: GHC 6015 Phone: (412) 268-8510 lastname @ cs dot cmu dot edu ...

Older Unpublished Drafts and Talks Adjoint logic Klaas Pruiksma, Willow Chargin, Frank Pfenning, and Jason Reed. Unpublished manuscript, April 2018. Teaching Imperative Programming with Contracts at ...

Table of Contents: CHAPTER I Mrs. Rachel Lynde Is Surprised CHAPTER II Matthew Cuthbert Is Surprised CHAPTER III Marilla Cuthbert Is Surprised CHAPTER IV Morning at Green Gables CHAPTER V Anne's ...

The face detector in this demonstration is a deep convolutional neural network. It's "deep" because it has many layers. It's "convolutional" because it applies a collection of templates called ...