by Tia Ghose, Live Science
Spookily powerful artificial intelligence (AI) systems may work so well because their structure exploits the fundamental laws of the universe, new research suggests.
The new findings may help answer a longstanding mystery about a class of artificial intelligence that employ a strategy called deep learning. These deep learning or deep neural network programs, as they’re called, are algorithms that have many layers in which lower-level calculations feed into higher ones. Deep neural networks often perform astonishingly well at solving problems as complex as beating the world’s best player of the strategy board game Go or classifying cat photos, yet know one fully understood why. Continue reading The Spooky Secret Behind Artificial Intelligence’s Incredible Power
by Cade Metz, WIRED
On the west coast of Australia, Amanda Hodgson is launching drones out towards the Indian Ocean so that they can photograph the water from above. The photos are a way of locating dugongs, or sea cows, in the bay near Perth—part of an effort to prevent the extinction of these endangered marine mammals. The trouble is that Hodgson and her team don’t have the time needed to examine all those aerial photos. There are too many of them—about 45,000—and spotting the dugongs is far too difficult for the untrained eye. So she’s giving the job to a deep neural network. Continue reading 2016: The Year That Deep Learning Took Over the Internet
by Devin Coldewey, TechCrunch
Google’s work in machine learning and artificial intelligence is often interesting, but it can be a bit academic. People like to get their hands on these things — as much as you can, anyway, with something intangible. To that end, Google is collecting a bunch of little demonstrations of this emerging category of tech in its AI Experiments showcase. Continue reading Google’s AI Experiments help you understand neural networks by playing with them
by Sebastian Anthony, ARS Technica UK
Neural networks seem good at devising crypto methods; less good at code breaking.
Google Brain has created two artificial intelligence’s that evolved their own cryptographic algorithm to protect their messages from a third AI, which was trying to evolve its own method to crack the AI-generated crypto. The study was a success: the first two AIs learnt how to communicate securely from scratch. Continue reading Google AI invents its own cryptographic algorithm; no one knows how it works
by Andrew Tarantola, Engadget
Computers can now provide both results and their reasoning behind them.
Turns out, the inner workings of neural networks really aren’t any easier to understand than those of the human brain. But thanks to research coming out of MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL), that could soon change. Continue reading MIT makes Neural Nets show their work