This paper by Sepandar Kamvar, Taher Haveliwala, and Gene Golub describes an algorithm to speed up the computation of PageRank using the fact that pages converge at different rates.

This paper by Sepandar Kamvar and Taher Haveliwala proves analytically the second eigenvalue of the Google Matrix, which has implications for the PageRank algorithm.

Results of the Stanford Institute for the Quantitative Study of Society study on social impact of computer use.

Abstract, slide show, references, from First Steps on the Road to Reinventing Computing, by Ian Piumarta, Viewpoints Research Institute. Stanford EE Computer Systems Colloquium, 2007 Feb 14.

Stanford University. Question answering systems, machine learning, probabilistic models, robotics.

Dialogues with colorful personalities of early AI.

Details of this collection of binary search tree and balanced tree library routines by Ben Pfaff. Etext in HTML/PDF/PS and source distribution.

Information Systems Laboratory, Signal Compression and Classification Group. Members' pages.