Submission Summary: 0 pending, 2 declined, 5 accepted (7 total, 71.43% accepted)
Synopsys showed a demo in which the new design recognized speed-limit signs in footage from a car. The company also presented results from using the chip to run a deep-learning network trained to recognize faces. A spokesperson said that it didn’t hit the accuracy levels of the best research results, which have been achieved on powerful computers, but it came pretty close. “For applications like video surveillance it performs very well,” he said. Being able to use deep learning on mobile chips will be vital to helping robots navigate and interact with the world, he said, and to efforts to develop autonomous cars.
The new computer, called Minwa and located in Beijing, has 72 powerful processors and 144 graphics processors, known as GPUs. Late Monday, Baidu released a paper claiming that the computer had been used to train machine-learning software that set a new record for recognizing images, beating a previous mark set by Google.
Electric cars may seem like a niche product that only wealthy people can afford, but a new analysis suggests that they may be close to competing with or even beating gas cars on cost. The authors of the new study concluded that the battery packs used by market-leading EV manufacturers like Tesla and Nissan cost as little as $300 per kilowatt-hour of energy in 2014. That’s lower than the most optimistic published projections for 2015, and even below the average published projection for 2020. The authors found that batteries appear on track to reach $230 per kilowatt-hour by 2018. The authors found that batteries appear on track to reach $230 per kilowatt-hour by 2018. If that’s true, it would push EVs across a meaningful threshold.
A scanner the size of an iPhone that you could hold up to a person’s chest and see a vivid, moving, 3-D image of what’s inside is being developed by entrepreneur Jonathan Rothberg.
Rothberg says he has raised $100 million to create a medical imaging device that’s nearly “as cheap as a stethoscope” and will “make doctors 100 times as effective.” The technology, which according to patent documents relies on a new kind of ultrasound chip, could eventually lead to new ways to destroy cancer cells with heat, or deliver information to brain cells.
In 2012, physicists in the Netherlands announced a discovery in particle physics that started chatter about a Nobel Prize. Inside a tiny rod of semiconductor crystal chilled cooler than outer space, they had caught the first glimpse of a strange particle called the Majorana fermion, finally confirming a prediction made in 1937. It was an advance seemingly unrelated to the challenges of selling office productivity software or competing with Amazon in cloud computing, but Craig Mundie, then heading Microsoft’s technology and research strategy, was delighted. The abstruse discovery—partly underwritten by Microsoft—was crucial to a project at the company aimed at making it possible to build immensely powerful computers that crunch data using quantum physics. “It was a pivotal moment,” says Mundie. “This research was guiding us toward a way of realizing one of these systems.”
THE revolutionary idea that defines the boundary between modern times and the past is the mastery of risk: the notion that the future is more than a whim of the gods and that men and women are not passive before nature. So wrote Peter Bernstein in his seminal history of risk,"Against the Gods".
Wall Street quants have claimed over the past decade that they had the ability to quantify financial risk down to several decimal places. The Great Recession has shown their claims to be absurd. Wall Street's supposed mastery of risk allowed financial institutions to package risky loans as derivatives that ostensibly had definite and identifiable risk profiles. Our recent financial collapse shows the limits of our beautiful and elegant mathematical models of the economy.
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