GOOGLE'S LEARNING SOFTWARE LEARNS TO WRITE LEARNING SOFTWARE

-
WHITE-COLLAR AUTOMATION HAS become a common buzzword in debates about the growing power of computers, as software shows potential to take over some work ofaccountants and lawyers. Artificial-intelligence researchers at Google are trying to automate the tasks of highly paid workers more likely to wear a hoodie than a coat and tie—themselves.
In a project called AutoML, Google’s researchers have taught machine-learning software to build machine-learning software. In some instances, what it comes up with is more powerful and efficient than the best systems the researchers themselves can design. Google says the system recently scored a record 82 percent at categorizing images by their content. On the harder task of marking the location of multiple objects in an image, an important task for augmented reality and autonomous robots, the auto-generated system scored 43 percent. The best human-built system scored 39 percent.
Such results are significant because the expertise needed to build cutting-edge AI systems is in scarce supply—even at Google. “Today these are handcrafted by machine learning scientists and literally only a few thousands of scientists around the world can do this,” said Google CEO Sundar Pichai last week, briefly namechecking AutoML at a launch event for new smartphones and other gadgets. “We want to enable hundreds of thousands of developers to be able to do it.”
AutoML remains a research project. Somewhat ironically, right now it takes exactly the kind of rare AI expertise this technology seeks to automate to get it working. But a growing number of researchers outside Google are working on this technology, too. If AI-made AI becomes practical, machine learning could spread outside of the tech industry, for example in healthcare and finance, much faster.
At Google, AutoML could accelerate Pichai’s “AI first” strategy, through which the company is using machine learning to run more efficiently and create new products. Researchers from the company’s Google Brain research group or the London-based DeepMind research lab it acquired in 2014 have helped slash power bills in company data centers, and sped up Google’s ability to map new cities, for example. AutoML could make those experts more productive, or help less-skilled engineers build powerful AI systems by themselves.

Comments

Post a Comment

Popular posts from this blog

MEET THE GEEK WHO TRACKS ROGUE SATELLITES WITH COAT HANGERS

-
Image
EVERY 95 MINUTES,  the Chinese satellite Zhuhai-1 02 makes a full pass around the planet, its solar-panel arms extending from its boxy body as it observes Earth. Sometimes, its path takes it over Pueblo, Colorado. There, more than 300 miles below, Mike Coletta’s receiving station can pick up Zhuhai’s transmissions. Because as sophisticated as space technology is, the terrestrial tech necessary to make contact with celestial satellites is surprisingly low. Coletta just has four TV antennas—the kind that look like 2-D pine trees—each pointed in a cardinal direction. They’re bolted into place along garage beams, a patio post, and the rooftop of his house. Inside his home office, on Tuesday, Coletta waits for Zhuhai's signals to appear. He sits in front of a laptop and an iPad, a big shelved monitor hovering above. Coletta has, since 2012, spent his free time eavesdropping on the sky, picking up satellite signals—signals that, for the most part, were never meant for him. He’s li
Read more

THIS RADIO HACKER COULD HIJACK CITYWIDE EMERGENCY SIRENS TO PLAY ANY SOUND

-
Image
At exactly noon on the first Tuesday after Balint Seeber moved from Silicon Valley to San Francisco in late 2015, the Australian radio hacker and security researcher was surprised to discover a phenomenon already known to practically every other resident of the city: a brief, piercing wail that rose and then fell, followed by a man's voice: "This is a test. This is a test of the outdoor warning system. This is only a test." The next week, at exactly the same time, Seeber heard it again. A few weeks after that, Seeber found himself staring up from his bicycle at a utility pole in the city's SoMa neighborhood, examining one of the more than 100 sirens that produced that inescapable emergency test message around the city. At the top, he noticed a vertical antenna; it seemed to be receiving signals via radio, not wires. The thought came to him: Could a hacker like him hijack that command system to trigger all the sirens around the whole city at will, or to use th
Read more

Technology Wikipedia

-
Image
Technology  is the practical use of science, including the making, modification or improvement, applied activity or behavior, use and knowledge of  tools ,  machines , techniques,  crafts ,  systems , methods of organization, or environmental modifications or arrangement in order to solve a problem, improve a preexisting solution to a problem, achieve a goal or perform a specific function. It can also refer to the collection of such tools, machinery, modifications, environmental arrangement and procedures. Technologies significantly affect human as well as other animal species' ability to control and adapt to their natural environments. The word  technology  comes from  Greek   τεχνολογία  (technología) ; from  τέχνη  (téchnē) , meaning 'art, skill, craft', and  -λογία  ( -logía ) , meaning 'study of-'. The term can be applied either generally or to many specific areas, examples of which include  construction technology ,  medical technology  and  information tech
Read more