The UNH AI Group
This wiki is for sharing information among folks at the University of New Hampshire doing research in artificial intelligence.
If you are at UNH and interested in AI, you should consider joining our mailing list and coming to our weekly meetings. Previous experience in AI is not required! Students can get independent study credit for their research, and there is extensive support available for undergrads from the UROP office, both term-time and over the summer. Note that you don't have to already have a topic in mind. Free free to email Wheeler for details on AI and UNH.
Members
David Bond
Ethan Burns
Matt Hatem
Sofia Lemons
Kevin Rose
Wheeler Ruml (lead)
Jordan Thayer
Chris Wilt
If you are in the group, see Jordan or Wheeler for editing permission on the wiki. Note that these pages are public and indexed by search engines, so take care when posting.
Coordination
Weekly Meeting Info
Mailing List Info
Our Google Calendar.
Documentation
OCaml - a programming language that's well-suited to AI work
Infrastructure - which machines to use
General Unix Tips
Emacs - a text editor that's good for programming
VNC and/or Screen- session management/remote access tools
LaTeX - a good tool for papers and presentations
Mercurial - a `distributed' version control system that's good for source code
General Tips on grad school, research, writing, giving talks
Code Documentation on how to do various tasks using the group's code repository
AI Literature
Google Scholar and plain Google- Most researchers make their papers available on their web pages.
JAIR - an excellent on-line journal
AIJ - UNH has on-line access. Hardcopy issues from 1995-2007 should be in the library and older ones can be retrieved from storage.
AAAI Digital Library - AAAI and some other proceedings (eg, ICAPS, AIPS), as well as AI Magazine (AIMag access is for AAAI members only). After you drill down to a particular abstract, click on the title to get the full paper.
ICAPS - pointers to ICAPS, AIPS, and ECP papers.
IJCAI - all proceedings on-line in searchable PDF (some older papers are scanned poorly, though)
NIPS - all proceedings on-line and searchable
AAMAS - 2002- available on-line (some via ACM DL)
ACM Portal
Some on-line AI-related books
DBLP sometimes has little icons that link to papers
also check under /home/aifs2/group/papers on the AI machines for recent IJCAI, AAAI, and ICAPS proceedings
Related Stuff
UNH AI classes
The UNH CS Video Colloquium (includes talks on AI)
Group Alumni
Austin Dionne
Allen Hubbe
Ian Katz
Brad Larsen
Jake Mandel
Thanks
Our research is possible because of the support of U.S. taxpayers, via NSF, DARPA, and UNH. Thank you!
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