ARTIFICIAL INTELLIGENCE TOPICS

Reliable and relevant information about AI

AAAI's AITopics provides basic, understandable information and helpful resources concerning artificial intelligence, with an emphasis on material available online. This virtual library of informational and pedagogical resources is for students, teachers, journalists, and everyone who would like to learn about AI.

	Stanford AI Class Offered Online
	Stanford AI Class taught by Sebastian Thrun and Peter Norvig. Free. Online enrollment ends Sept 10th, sign up early! The class runs from Sept 26 through Dec 16, 2011. While this class is being offered online, it is also taught at Stanford University, where it continues to be a popular intro-level class on AI. For the online version, the instructors aim to offer identical materials, assignments, and exams, and to use the same grading criteria. Both instructors will be available for online discussions.
	New Report on Job Prospects in Science & Technology
	STEM: Good Jobs Now and For the Future, July 20, 2011 report from the U.S. Department of Commerce. "Over the past 10 years, growth in STEM jobs was three times as fast as growth in non-STEM jobs. STEM workers are also less likely to experience joblessness than their non-STEM counterparts"
	Current Work
	We're working to improve the program that assigns stories to categories since that seems to be an essential step in selecting stories for AI-Alert from a diverse set of topics.
	Subscribe to AI Alert Weekly News Service
	For a weekly list of current news stories mentioning AI Subscribe to Weekly News Alerts (choose the list AAAI-AIAlert)

News related to Artificial Intelligence

The following news stories have been automatically selected by an autonomous web-crawling agent. For more information, check out the NewsFinder page.

• You (YOU!) Can Take Stanford's 'Intro to AI' Course Next Quarter, For Free
  IEEE Spectrum, August 04, 2011, categorized as AIOverview, Applications
• Love Is in the Water For Some Reason at RoboSub 2011
  IEEE Spectrum, July 26, 2011, categorized as Applications, Robots

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About AITopics

Early work in AI, in areas such as story understanding and commonsense reasoning, tried to tackle the problem head on, but ultimately failed for three main reasons. First, methods for representing and reasoning with uncertain information were not well understood; second, systems could not be grounded in real experience, without first solving AI-complete problems of vision or language understanding; and third, there were no well-defined, meaningful tasks against which to measure progress. ...we are now at a time when we are well-poised to make serious progress on the goal of building systems that understand human experience. Each of the previous barriers is weakened ... [This problem] will be a driving challenge for work in AI in the years to come, and results from the work will profoundly impact our knowledge of how we live and interact with the world and with each other. Henry Kautz, "Understanding Human Experience". Position paper for the article, "Artificial Intelligence: The Next Twenty-Five Years", Matthew Stone and Haym Hirsh, editors, AI Magazine, 26(4): Winter 2005, 85–97.

Henry Kautz President of the Association for the Advancement of Artificial Intelligence

AAAI's AITopics is a virtual library of resources for students, teachers, journalists, and everyone who would like to learn about artificial intelligence. To get started, search for a term or topic that interests you, or browse AITopics using the links to the left. There are thousands of articles online -- take your time, browse, and have fun.

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