AI Lunches are a weekly informal gathering of professors, graduate students and undergraduate students who are interested in artificial intelligence research. The meetings are typically held during the semester, and there is usually a summer schedule as well. Currently, this semester (Fall '99) schedule is prevailing (Wednesdays at Noon in CIT 506 with some excpetions shown below). People are encouraged to bring their lunch to eat as we meet. The format of these discussions is very broad. Typical lunches have included all of the following:
Group discussion
of historic AI paper
Presentation
of current research in AI
Presentation
of seminal work in AI
Outside speakers
(typically a more formal meeting in Lubrano)
Practice talks
for conferences, workshops, thesis defenses, etc.
September 9 Organizational Meeting
September 15 The overview of NLP research (part I) Eugene
Charniak
September 22 IPP
September 24 Talk by Maarten van Dantzich [abstract]
September 29 The overview of NLP research (part II) Eugene Charniak
October 6 Departmental talk
October 13 Probabilistic Temporal Networks Joel
Young [abstract]
October 18 Density Estimation and Markov Decision Processes Ronald Parr [abstract]
October 20 TBA
October 27 TBA
November 3 Variable Resolution Discretization in Optimal Control Remi Munos [abstract]
November 10 TBA
November 17 TBA
November 24 TBA
December 1 TBA
December 8 TBA