No more of the same [security theatre]
http://www.economist.com/news/international/21678236-lot-what-passes-security-airports-more-theatrical-real-no-more Relative merits for the #TSA mining & profiling travelers v hi-tech scanning
Data mining & profiling v “predictable” scanning
Contrast US v IL
Cracking the vault http://www.economist.com/news/finance-and-economics/21676826-grip-banks-have-over-their-customers-weakening-cracking-vault Bank transactions are better data than search history or activity tracks. Who will control them?
Mentions mint & other services
Global #Shipping & the Raising of the Bayonne Bridge http://www.americanscientist.org/issues/pub/2015/4/global-shipping-and-the-raising-of-the-bayonne-bridge The ever increasing size of container ships overwhelms ports
$AAPL’s #DeepLearning Curve
http://www.bloomberg.com/news/articles/2015-10-29/apple-s-secrecy-hurts-its-ai-software-development A very secretive culture controlling Siri & your phone
Computer Vision
&…Hallucinationshttp://www.americanscientist.org/issues/id.16420,y.2015,no.5,content.true,page.1,css.print/issue.aspx Instead of training a neural network, train an image to fit it. Dreams emerge
QT:{{”
“The algorithm behind the deep dream images was devised by Alexander Mordvintsev, a Google software engineer in Zurich. In the blog posts he was joined by two coauthors: Mike Tyka, a biochemist, artist, and Google software engineer in Seattle; and Christopher Olah of Toronto, a software engineering intern at Google.
Here’s a recipe for deep dreaming. Start by choosing a source image and a target layer within the neural network. Present the image to the network’s input layer, and allow the recognition process to proceed normally until it reaches the target layer. Then, starting at the target layer, apply the backpropagation algorithm that corrects errors during the training process. However, instead of adjusting connection weights to improve the accuracy of the network’s response, adjust the source image to increase the amplitude of the response in the target layer. This forward-backward cycle is then repeated a number of times, and at intervals the image is resampled to increase the number of pixels.”
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Most popular coding languages, according to @GitHub are javascript (#1), Java, Ruby, PHP, Python, CSS, C++, C# & C
https://agenda.weforum.org/2015/08/the-9-most-popular-coding-languages
QT:{{”
“That means GitHub is a great place to gauge which of the world’s many thousands of programming languages are the most popular — especially since a popular programming language is always a good job skill for anybody to have in this age of technological transformation. Without further ado, here are the top programming languages on GitHub. No. 9 — C: The original C, invented in 1972, is still incredibly popular. That’s not least because it works on just about any computing platform ever made, and it’s super stable and understood by
programmers everywhere.
…
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LinkedIn’s Plan for World Domination http://www.newyorker.com/magazine/2015/10/12/the-network-man No job security, everyone’s an entrepreneur, enlarging prof’l #networks is key
QT:{{"
“Manyika understood that not every chief executive in Silicon Valley could sign the statement, but he was gently trying to pull Hoffman to the left, and he knew how to frame the argument so that it would appeal to him. He went on, “We cannot ignore this problem. Right now, everybody’s punting. We know the share of income that goes to wages is a declining portion, compared with capital expenditures. What does that mean for jobs? Entrepreneurship is part of the answer. Mass-scale entrepreneurship. Before you even get to A.I.”
“You have to be able to let people adapt,” Hoffman said. “You have to have cheap resources to put across the whole system. How do you get inclusion within the tech ecosystem?”
“Very few of the programs have scale,” Manyika said.
“You have to scale to infinite,” Hoffman said.
"}}
An Update to End-To-End [gmail encryption]
http://googleonlinesecurity.blogspot.com/2014/12/an-update-to-end-to-end.html Looks interesting & potentially useful but a little raw. Anyone used this?
How Could $GOOG’s New Logo Be Only ~.3kB, While [Old] Is 14kB? http://gizmodo.com/how-could-googles-new-logo-be-only-305-bytes-while-its-1728793790 A Triumph for San-serif v serif fonts HT @KirkDBorne
Machine ethics: The robot’s dilemma
http://www.nature.com/news/machine-ethics-the-robot-s-dilemma-1.17881 Asimov’s science fictional 3 Laws of #Robotics become a reality for programmers
QT:{{”
In his 1942 short story ‘Runaround’, science-fiction writer Isaac Asimov introduced the Three Laws of Robotics — engineering safeguards and built-in ethical principles that he would go on to use in dozens of stories and novels. They were: 1) A robot may not injure a human being or, through inaction, allow a human being to come to harm; 2) A robot must obey the orders given it by human beings, except where such orders would conflict with the First Law; and 3) A robot must protect its own existence as long as such protection does not conflict with the First or Second Laws.
Fittingly, ‘Runaround’ is set in 2015. Real-life roboticists are citing Asimov’s laws a lot these days: their creations are becoming autonomous enough to need that kind of guidance. In May, a panel talk on driverless cars at the Brookings Institution, a think tank in Washington DC, turned into a discussion about how autonomous vehicles would behave in a crisis. What if a vehicle’s efforts to save its own passengers by, say, slamming on the brakes risked a pile-up with the vehicles behind it? Or what if an autonomous car swerved to avoid a child, but risked hitting someone else nearby?”
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