Researchers are fine-tuning a computer system that is trying to master semantics by learning more like a human, reports the New York Times. Give a computer a task that can be crisply defined—win at chess, predict the weather—and the machine bests humans nearly every time. Yet when problems are nuanced or ambiguous, or require combining varied sources of information, computers are no match for human intelligence. Few challenges in computing loom larger than unraveling semantics, or understanding the meaning of language. One reason is that the meaning of words and phrases hinges not only on their context, but also on...

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About the Author:

Laura Ascione

Laura Ascione is the Managing Editor, Content Services at eSchool Media. She is a graduate of the University of Maryland's prestigious Philip Merrill College of Journalism. When she isn't wrangling her two children, Laura enjoys running, photography, home improvement, and rooting for the Terps. Find Laura on Twitter: @eSN_Laura http://twitter.com/eSN_Laura