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A new pair of eyes

Researchers are working very hard on the ability of computers to mimic the human senses—in their own way, to see, smell, touch, taste and hear. In this article we highlight two examples of algorithms that seem to be beating us at our own game.

Your eyes can be deceiving. Sometimes -even for humans- it is hard to distinguish a muffin from a Chiwawa. Most of us can recognize an object after seeing it once or twice. But the algorithms that power computer vision and voice recognition need thousands of examples to become familiar with each new image or word.

Researchers at Google DeepMind now have a way around this. They made a few clever tweaks to a deep-learning algorithm that allows it to recognize objects in images and other things from a single example—something known as “one-shot learning.” Read More

The future is open

Knowledge grows the more people contribute. Information wants to be free. And Artificial Intelligence needs to be open. Just three one-liners that would make great t-shirts. Fortunately, many people feel the same way. In this article two interesting initiatives that try to democratize A.I.

1. Let’s work out at the Google Gym
Alphabet Inc.’s artificial intelligence division Google DeepMind is making the maze-like game platform it uses for many of its experiments available to other researchers and the general public.

DeepMind is putting the entire source code for its training environment — which it previously called Labyrinth and has now renamed as DeepMind Lab — on the open-source depository GitHub, the company said Monday. Read More