computer science

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Secret Messages Can Hide in AI-Generated Media

In steganography, an ordinary message masks the presence of a secret communication. Humans can never do it perfectly, but a new study shows it’s possible for machines. On June 27, 2010, the FBI arrested 10 Russian spies who lived and worked as American professionals near New York City. The case, which unraveled an intricate system […]

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Peering inside the black box of AI

Five years ago, computer scientist Alan Fern and his colleagues at Oregon State University, in Corvallis, set out to answer one of the most pressing questions in artificial intelligence (AI): Could they understand how AI reasons, makes decisions, and chooses its actions? The proving ground for their exploration was five classic arcade games, circa 1980,

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How Close Are Computers to Automating Mathematical Reasoning?

In the 1970s, the late mathematician Paul Cohen, the only person to ever win a Fields Medal for work in mathematical logic, reportedly made a sweeping prediction that continues to excite and irritate mathematicians — that “at some unspecified future time, mathematicians would be replaced by computers.” Cohen, legendary for his daring methods in set theory, predicted

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Symbolic mathematics finally yields to neural networks

More than 70 years ago, researchers at the forefront of artificial intelligence research introduced neural networks as a revolutionary way to think about how the brain works. In the human brain, networks of billions of connected neurons make sense of sensory data, allowing us to learn from experience. Artificial neural networks can also filter huge

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“What if mathematicians were asked to defuse bombs?”

In 1998, a few dozen computer scientists and mathematicians gathered at a picturesque seaside resort on the Tuscan island of Elba off the west coast of Italy. They were there to attend a scientific gathering unlike any other. The 17 presentations suggested peculiar offerings. One explored an algorithmic answer to the question, “What if mathematicians

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Recognizing AI’s potential

FOR MORE THAN a century, pathologists have identified cancer by looking at slides containing tissue stained with dyes to make the malignant cells more visible. Spotting aberrant cells among healthy ones is similar in spirit to recognizing familiar faces or objects in pictures. “Our brains are very good at recognizing patterns in images,” says physician and

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