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Beijing Wants AI To Be Made In China By 2030

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Reader cdreimer writes: According to a report on The New York Times (may be paywalled, alternative story here): "If Beijing has its way, the future of artificial intelligence will be made in China. The country laid out a development plan on Thursday to become the world leader in A.I. by 2030, aiming to surpass its rivals technologically and build a domestic industry worth almost $150 billion. Released by the State Council, the policy is a statement of intent from the top rungs of China's government: The world's second-largest economy will be investing heavily to ensure its companies, government and military leap to the front of the pack in a technology many think will one day form the basis of computing. The plan comes with China preparing a multibillion-dollar national investment initiative to support "moonshot" projects, start-ups and academic research in A.I., according to two professors who consulted with the government about the effort."

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Intel Launches Movidius Neural Compute Stick: 'Deep Learning and AI' On a $79 USB Stick

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Nate Oh, writing for AnandTech: Today Intel subsidiary Movidius is launching their Neural Compute Stick (NCS), a version of which was showcased earlier this year at CES 2017. The Movidius NCS adds to Intel's deep learning and AI development portfolio, building off of Movidius' April 2016 launch of the Fathom NCS and Intel's later acquisition of Movidius itself in September 2016. As Intel states, the Movidius NCS is "the world's first self-contained AI accelerator in a USB format," and is designed to allow host devices to process deep neural networks natively -- or in other words, at the edge. In turn, this provides developers and researchers with a low power and low cost method to develop and optimize various offline AI applications. Movidius's NCS is powered by their Myriad 2 vision processing unit (VPU), and, according to the company, can reach over 100 GFLOPs of performance within an nominal 1W of power consumption. Under the hood, the Movidius NCS works by translating a standard, trained Caffe-based convolutional neural network (CNN) into an embedded neural network that then runs on the VPU. In production workloads, the NCS can be used as a discrete accelerator for speeding up or offloading neural network tasks. Otherwise for development workloads, the company offers several developer-centric features, including layer-by-layer neural networks metrics to allow developers to analyze and optimize performance and power, and validation scripts to allow developers to compare the output of the NCS against the original PC model in order to ensure the accuracy of the NCS's model. According to Gary Brown, VP of Marketing at Movidius, this 'Acceleration mode' is one of several features that differentiate the Movidius NCS from the Fathom NCS. The Movidius NCS also comes with a new "Multi-Stick mode" that allows multiple sticks in one host to work in conjunction in offloading work from the CPU. For multiple stick configurations, Movidius claims that they have confirmed linear performance increases up to 4 sticks in lab tests, and are currently validating 6 and 8 stick configurations. Importantly, the company believes that there is no theoretical maximum, and they expect that they can achieve similar linear behavior for more devices. Though ultimately scalability will depend at least somewhat with the neural network itself, and developers trying to use the feature will want to play around with it to determine how well they can reasonably scale. As for the technical specifications, the Movidius Neural Compute Stick features a 4Gb LPDDR3 on-chip memory, and a USB 3.0 Type A interface.

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This Game Tests Your Ability To Spot Fake News

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Now more than ever it’s important to be able to tell when you’re reading #FakeNews. However, determining whether something is fake or real isn’t always easy. Think you know your stuff? Give Factitious a try.

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2 days ago
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Use a Kanban to Delegate and Track Family Chores

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When it comes to household chores, it’s nearly impossible to remember what you started, who’s supposed to be doing what, and what’s still left to do. So you end up with a half-cleared out freezer, a vacuum that coughs out dust clumps (“Wasn’t Bob supposed to empty this thing?!”), and a general feeling that everything…

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Hackers are using hotel Wi-Fi to spy on guests, steal data

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The DarkHotel hacking group has returned -- but this time they're focusing on a different target, using a new strain of Inexsmar malware.
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Ethereum Hacks

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The press is reporting a $32M theft of the cryptocurrency Ethereum. Like all such thefts, they're not a result of a cryptographic failure in the currencies, but instead a software vulnerability in the software surrounding the currency -- in this case, digital wallets.

This is the second Ethereum hack this week. The first tricked people in sending their Ethereum to another address.

This is my concern about digital cash. The cryptography can be bulletproof, but the computer security will always be an issue.

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