26 Nov 2016

Japan plans supercomputer to leap into technology future

“apan plans to build the world’s fastest-known supercomputer in a bid to arm the country’s manufacturers with a platform for research that could help them develop and improve driverless cars, robotics and medical diagnostics. The Ministry of Economy, Trade and Industry will spend 19.5 billion yen ($173 million) on the

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26 Nov 2016

How the FAA is Killing Drone Innovation

“The Part 107 commercial drone regulations, implemented in August 2016, affect everyone from the individual drone enthusiast who wants to get into the drone photography business, to large companies such as Amazon, Google, and Disney, who envision operating fleets of these tiny craft. Amazon would face a public relations nightmare

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26 Nov 2016

6 Reasons Why ‘Starship Troopers’ Is the New ‘The Art of War’

“Robert A. Heinlein’s Starship Troopers, published in 1959, is aging remarkably well. The tome chronicles the early military career of Johnnie Rico, who fights alien arachnids while clad in a heavily armed exoskeleton. The troopers drop from orbit one by one to wreak havoc on whatever target the Sky Marshal

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08 Nov 2016

How the Soviets invented the internet and why it didn’t work

“In other words, as our social values shift, so will what appears obvious about technology. The Soviets once embedded values into networks – cybernetic collectivism, statist hierarchy and planned economies – that seem foreign to us; so too will the values modern readers attach to the internet strike future observers

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07 Nov 2016

The March Towards Hacker Skynet – Fighting Cyberwar without the Humans

“Drones and robots get the headlines, but autonomous cyber weapons will be key to future warfare…” “It will soon become essential to incorporate both autonomy and counter-autonomy in cybersecurity team training and systems design, and to make them independently testable by outside ‘sparring partners.’ But today’s training, wargaming, and testing

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07 Nov 2016

You Don’t Need Big Data — You Need the Right Data

“But the reality is that our relentless focus on the importance of big data is often misleading. Yes, in some situations, deriving value from data requires having an immense amount of that data. But the key for innovators across industries is that the size of the data isn’t the most

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07 Nov 2016

The current state of machine intelligence 3.0

“Successful use of machine intelligence at a large organization is surprisingly binary, like flipping a stubborn light switch. It’s hard to do, but once machine intelligence is enabled, an organization sees everything through the lens of its potential. Organizations like Google, Facebook, Apple, Microsoft, Amazon, Uber, and Bloomberg (our sole

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05 Nov 2016

This is what Clinton’s circle of trust looks like from her emails

“The MIT Media Lab created a visualization showing connections between the tens of thousands of emails sent by the candidate from a private server when she was secretary of state.” Source: This is what Clinton’s circle of trust looks like from her emails – Univision

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03 Nov 2016

The Competitive Landscape for Machine Intelligence

“The next step is to use machine intelligence to realize value from new sources of data, which we highlight in the ‘Enterprise Intelligence’ section of the landscape. These new sources are now accessible because machine intelligence software can rapidly review enormous amounts of data in a way that would have

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01 Nov 2016

How China is fast narrowing the technology gap with the West

“The size of China’s R&D manpower force looks even more formidable. Its total R&D personnel last year numbered almost four million, against 2.4 million for the whole of the European Union and 0.9 million for Japan. China also has a huge reserve army of graduates, thanks to 2,900 universities and

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