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...
Subscribe to Read More
Are You an Educator?
Get Free online access to all our
news and resources and get
eSchool News Today email newsletter