Two Great AI Talks Next week

I’ve been remiss in not blogging the Forum for AI talks this semester, but we have two good ones coming up next week on natural language learning and artificial life, respectively. The abstracts are kind of long, so I’ve just included snippets. See the FAI page, for the complete abstracts. Here is the info:

Large-Margin Methods for Natural Language Learning
Michael Collins
, MIT AI Lab
Monday, March 8th, 2004
10:30 a.m.
ACES 2.402
Abstract: Sequential data is everywhere: obvious examples being text (the web, or digital libraries), speech, and biological sequences. Algorithms which recover structure underlying this data are becoming increasingly important. This leads to an interesting class of learning problems: how to learn functions which map strings to other discrete structures such as trees, segmentations, or underlying state sequences? …

The Dynamics of Open-ended Learning
Jordan Pollack
, Brandeis University
Wednesday, March 10, 2004
10:30 a.m.
ACES 2.402
Abstract: How could something as complex as the brain, or as rich as cognition, be the result of a random evolutionary process? The difficulty in imagining how a chemical reaction far from equilibrium could dissipate energy and, through a local reversal of entropy, achieve an organizational complexity which exceeds human engineering design has led to a broad belief in the need for an outside creator. It has also led to disproportiate scientific funding to focus on “what exists” in biology rather than the more foundational question of “how can it come to exist?” …

Posted in AI. 1 Comment »

One Response to “Two Great AI Talks Next week”

  1. Wil Holland Says:

    Would you consider this? Passing the Test? For over ten years, I have been working on a method of semantic interpretation that applies in any situation. Using this method, I believe that a software program can pass the Turing Test. The book, “How to Design a Universal Artificial Intelligence,” is currently online, in its entirety, and I am requesting your review of this work. This is it; this is real; this is a working counterpart program.

    My website
    My email

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