wordpress-seo domain was triggered too early. This is usually an indicator for some code in the plugin or theme running too early. Translations should be loaded at the init action or later. Please see Debugging in WordPress for more information. (This message was added in version 6.7.0.) in /var/www/wp-includes/functions.php on line 6114Google’s crack at a quantum computer is a bid to change computing forever.
Google is about to begin designing and building hardware for a quantum computer, a type of machine that can exploit quantum physics to solve problems that would take a conventional computer millions of years.
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Can genome-editing technology revive the idea of genetically modified livestock?
Four years ago, Scott Fahrenkrug saw an ABC News segment about the dehorning of dairy cows, a painful procedure that makes the animals safer to handle. The shaky undercover video showed a black-and-white Holstein heifer moaning and bucking as a farmhand burned off its horns with a hot iron.
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Impressive progress hides major limitations of Google’s quest for automated driving.
Would you buy a self-driving car that couldn’t drive itself in 99 percent of the country? Or that knew nearly nothing about parking, couldn’t be taken out in snow or heavy rain, and would drive straight over a gaping pothole?
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A novel optical technique could overlay virtual imagery on the real world through a compact pair of glasses.
Andrew Maimone thinks augmented reality hasn’t been much more than a gimmick so far.
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As the world grows hungrier for animal protein, insects could be the new way to feed livestock.
Most farmers go to great lengths to keep insects at bay. For a growing cadre of livestock and fish producers though, bugs have never been so welcome.
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Our 14th annual celebration of people who are driving the next generation of technological breakthroughs.
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Do robots kill jobs? Not necessarily.
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Who cares about Satoshi Nakamoto? Someone else has made Bitcoin what it is and has the most power over its destiny.
In March, a bewildered retired man faced journalists yelling questions about virtual currency outside his suburban home in Temple City, California. Dorian Nakamoto, 64, had been identified by Newsweek as the person who masterminded Bitcoin—a story that, like previous attempts to unmask its pseudonymous inventor, Satoshi Nakamoto, was soon discredited. Meanwhile, the person arguably most responsible for enabling the currency to swell in value to $7.7 billion, and with the most influence on its future, was hiding in plain sight on the other side of the country, in Amherst, Massachusetts.
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Baidu is a fixture of online life in China, but it wants to become a global power. Can one of the world’s leading artificial- intelligence researchers help it challenge Silicon Valley’s biggest companies?
Punk bands from Blondie to the Ramones once played in Broadway Studios, an age-worn 95-year-old neoclassical building surrounded by strip clubs in San Francisco’s North Beach. But early on this bright June morning, a different sort of rock star arrives. A small crowd attending a tech startup conference swarms around a tall, soft-spoken man in a blue dress shirt and navy suit who politely poses for photos. Andrew Ng, newly appointed chief scientist at Baidu, China’s dominant search company, is here to talk about his plans to advance deep learning, a powerful new approach to artificial intelligence loosely modeled on the way the brain works. It has already made computers vastly better at recognizing speech, translating languages, and identifying images—and Ng’s work at Google and Stanford University, where he was a professor of computer science, is behind some of the biggest breakthroughs. After his talk, the audience of about 200 entrepreneurs, venture capitalists, and tech workers sends him off with two rounds of applause.
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Flexible displays haven’t been usable as touch screens, or durable—those problems have now been solved.
By the end of this year, a startup called Kateeva will start shipping manufacturing equipment that could finally bring flexible displays to market.
Microsoft researchers say simple hardware changes and machine learning techniques let a regular smartphone camera act as a depth sensor.
Just about everybody carries a camera nowadays by virtue of owning a cell phone, but few of these devices capture the three-dimensional contours of objects like a depth camera can.
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