Tag Archives: Deep Learning

Can artificial intelligence tell a polar bear from a can opener?

by Stuart Wolpert, UCLA Newsroom

UCLA psychologists’ experiments demonstrate severe limitations of ‘deep learning’ machines

How smart is the form of artificial intelligence known as deep learning computer networks, and how closely do these machines mimic the human brain? They have improved greatly in recent years, but still have a long way to go, a team of UCLA cognitive psychologists reports in the journal PLOS Computational Biology.

Continue reading Can artificial intelligence tell a polar bear from a can opener?

Game Theory reveals the Future of Deep Learning

by Carlos E. Perez, Medium

If you’ve been following my articles up to now, you’ll begin to perceive, what’s apparent to many advanced practitioners of Deep Learning (DL), is the emergence of Game Theoretic concepts in the design of newer architectures.

This makes intuitive sense for two reasons. The first intuition is that DL systems will eventually need to tackle situations with imperfect knowledge. In fact we’ve already seen this in DeepMind’s AlphaGo that uses partial knowledge to tactically and strategically best the world-best human in the game of Go. Continue reading Game Theory reveals the Future of Deep Learning

The Spooky Secret Behind Artificial Intelligence’s Incredible Power

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

2016: The Year That Deep Learning Took Over the Internet

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

Research team sets new mark for ‘deep learning’

Science Daily

Image-processing system learns largely on its own, much like a human baby

Neuroscience and artificial intelligence experts from Rice University and Baylor College of Medicine have taken inspiration from the human brain in creating a new “deep learning” method that enables computers to learn about the visual world largely on their own, much as human babies do. Continue reading Research team sets new mark for ‘deep learning’