. “Maybe these technologies lose their luster,” Jakicic says. “If you’re not wearing it, it won’t be helpful to you.”
A lack of engagement could help explain the results, says physical activity epidemiologist Lisa Cadmus-Bertramof the University of Wisconsin?Madison. “Technology can be helpful, but we should absolutely expect that it could backfire if the device isn't ideal,” she says. On days when people wore the armband monitor, they typically wore it for only about four hours — far less than people usually wear a wristband Fitbit,
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, she adds.
The good news is that a small number of people with the technology kept off more weight than the average of people with the device,
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. Jakicic and colleagues are analyzing why those people seemed to benefit while others did not.
A strength of the new study is its focus on young adults, about a quarter of whom were not white. Young people,
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, and particularly young minorities, are “in need of creative,
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, effective strategies to combat their historically high rate of obesity,” says Staiano, who is also a spokesperson for the Obesity Society. Because young adults spend much of their days using technology, scientists shouldn’t give up attempts to figure out how to enlist devices to help manage weight, she says. Today’s gadgets, which look like jewelry on the wrist and can track not just activity but also diet, sleep and mood, may still hold promise. ?

In a victory that rivals the computer Deep Blue’s 1997 win over chess champion Garry Kasparov, a computer has now bested a professional human player in the classic strategy game Go.
The computer program, called AlphaGo, trounced Fan Hui, the reigning European Go champion,
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, 5 games to 0, researchers report in the Jan. 28 Nature.
Go, a game that originated in China more than 2,500 years ago, is much more complicated than chess, with an order of magnitude more possible opening moves,
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, study coauthor Demis Hassabis of Google DeepMind said at a news conference. Many researchers thought a computer wouldn’t be able to beat a top human player for another five or 10 years, he said.
AlphaGo learned to play Go from experience. But the program needed much more practice than humans do to become an expert,
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, Hassabis said: millions of games, rather than thousands.
In March,
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, the program will put its skills to the ultimate test in a match against South Korean Lee Sedol, considered the world’s best Go player.?

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