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How computers are learning to make human software work more efficiently — John R. Woodward, Justyna Petke And William Langdon | The Conversation

“Genetic improvement involves writing an automated “programmer” who manipulates the source code of a piece of through trial and error with a view to making it work more efficiently. This might include swapping lines of code around, deleting lines and inserting new ones – very much like a human programmer. Each manipulation is then tested against some quality measure to determine if the new version of the code is an improvement over the old version. It is about taking large software systems and altering them slightly to achieve better results. Read more

Google’s Dream Robot Is Running Wild Across the Internet

Remember a few weeks back, when we learned that Google’s artificial neural network was having creepy daydreams, turning buildings into acid trips and landscapes into Magic Eye pictures? Well, prepare to never sleep again, because last week, Google made its “inceptionism” algorithm available to the public, and the nightmarish images are cropping up everywhere.

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Researchers Sharing Data Was Supposed to Change Science Forever. Did It? — Lily Hay Newman | Slate

“If goodwill and curiosity aren’t motivating researchers to work with open-source data on their own, there is still something that probably will: human limitation. ‘We have tiny little brains. We can’t understand the big stuff anymore,’ said Paul Cohen, a DARPA program manager in the Information and Innovation Office. ‘Machines will read the literature, machines will build complicated models, because frankly we can’t.’ When all you have to do is let your algorithms loose on a trove of publicly available data, there won’t be any reason not to pull in everything that’s out there. ” Read more