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ARTIFICIAL INTELLIGENCE TOPICS
Reliable and relevant information about AI
The AAAI's virtual library of informational and pedagogical resources for students, teachers, journalists, and everyone who would like to learn about AI
 AI in the News: Interesting News Stories about AI. We are bringing up an intelligent web crawler that searches for recent, interesting news stories about AI. The program, written by Liang Dong under the supervision of Bruce Buchanan and Reid Smith, first finds potential stories from RSS news feeds. A support vector machine has been trained with manually scored stories from the web to classify each story as "very interesting" (+5) to "possibly interesting" (+1), or "not relevant" (0). Then it increases or decreases its score with respect to the interestingness of words and phrases contained in each story. We will ask for user feedback so the program can continue learning. Please stay with us; we expect to restart our news service by the end of summer.
Subscribe to Bi-Weekly News Alerts Starting in September (Choose the list AI-Alert -- link or text)
Details about the News Finder program
| Check out the new Grand Challenges page and send suggestions for other challenges to AI that have been posted.
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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
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Welcome to AI Topics!
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 AI Topics using the links to the left. There are thousands of articles online -- take your time, browse, and have fun.
Developed as a wiki, AITopics allows users to contribute content and edit pages. Visitors can easily submit new content, or become an editor for AITopics.
AITopics Editorial Board
Assistant Editor
Student Intern
For more information about this site, please see About Us.
We gratefully acknowledge past funding for this project from the NSF (Award #0738341).
AI Topics Donor
AAAI sponsors AI Topics as a free resource for students and others interested in learning about AI. An all-volunteer editorial board, together with the AAAI members, maintains the content, but there are costs associated with maintaining the code and adding new tools to the site. Please consider a contribution to continue this educational effort to explain the science of AI and issues surrounding it.
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