MIT’s AI can train neural networks faster than ever before

In an effort "to democratize AI," researchers at MIT have found a way to use artificial intelligence to train machine-learning systems much more efficiently. Their hope is that the new time- and cost-saving algorithm will allow resource-strapped rese...

Neural Network Turns Flowers Into Dinosaurs

If there is one thing that I have learned, it is that imaging neural networks can produce some creepy results. But sometimes the results can be beautiful too. Chris Rodley used a deep learning algorithm to merge a book of dinosaurs with a book of flower paintings. The results are astounding and it is actually something approaching fine art.

Using the Deepart.io algorithm offers different results from Google’s Deep Dream, since it applies features of an artist’s visual style to another image. This keeps recognizable details and uses them to rebuild the target image from scratch.


So what you get are dinosaurs made out of flowers, fruit, tall ships, and other stuff. Basically he is creating fine art mashups. If you want prints to hang on your wall, you can reach out to Chris on his website.

[via Sploid]

How Apple reinvigorated its AI aspirations in under a year

At its WWDC 2017 keynote on Monday, Apple showed off the fruits of its AI research labors. We saw a Siri assistant that's smart enough to interpret your intentions, an updated Metal 2 graphics suite designed for machine learning and a Photos app that...

Why Is Machine Learning (CS 229) The Most Popular Course At Stanford?


“New Brainlike Computers, Learning From Experience,” reads a headline on the front page of The New York Times this morning. The article focuses on machine-learning algorithms, known as a neural...
    






Robotic legs simulate our neural system, lurch along in the most human-like way so far

robotic-legs-most-like-human-walking

We've seen some pretty wonky bipedal robots before, but scientists at the University of Arizona have gone straight to the source -- us -- to make one with a more human-like saunter. It turns out it's not just our skull-borne computer that controls gait: a simple neural network in the lumber area of our spine, called the central pattern generator (CPG), also fires to provide the necessary rhythm. By creating a basic digital version of that and connecting some feedback sensors in the legs, a more natural human stride (without balance) was created -- and on top of that it didn't require the tricky processing used in other striding bots. Apparently this throws light on why babies can make that cute walking motion even before they toddle in earnest, since the necessary CPG system comes pre-installed from birth. That means the study could lead to new ways of stimulating that region to help those with spinal cord injuries re-learn to walk, and produce better, less complex walking robots to boot. Judging by the video, it's a good start, but there's still a ways to go before they can mimic us exactly -- you can watch it after the break.

Continue reading Robotic legs simulate our neural system, lurch along in the most human-like way so far

Robotic legs simulate our neural system, lurch along in the most human-like way so far originally appeared on Engadget on Fri, 06 Jul 2012 04:16:00 EDT. Please see our terms for use of feeds.

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