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Machine Learning Confronts the Elephant in the Room
A visual prank exposes an Achilles’ heel of computer vision systems: Unlike humans, they can’t do a double take.
To Make Sense of the Present, Brains May Predict the Future
A controversial theory suggests that perception, motor control, memory and other brain functions all depend on comparisons between ongoing actual experiences and the brain’s modeled expectations.
Why Artificial Intelligence Like AlphaZero Has Trouble With the Real World
The latest artificial intelligence systems start from zero knowledge of a game and grow to world-beating in a matter of hours. But researchers are struggling to apply these systems beyond the arcade.
Solution: ‘How to Win at Deep Learning’
When equipped with hidden layers, deep neural networks can accomplish nonlinear feats that are difficult even with sophisticated mathematics.
How to Win at Deep Learning
What happens when you increase the number of layers in an artificial neural network?
New Theory Cracks Open the Black Box of Deep Learning
A new idea is helping to explain the puzzling success of today’s artificial-intelligence algorithms — and might also explain how human brains learn.
Janet Conrad, Seeker of Neutrinos and Other Curiosities
The physicist and curios collector hopes to reveal the hidden structure lurking in the subatomic world.
The Rise of Computer-Aided Explanation
Computers can translate French and prove mathematical theorems. But can they make deep conceptual insights into the way the world works?
Concerns of an Artificial Intelligence Pioneer
Computer scientist Stuart Russell wants to ensure that our increasingly intelligent machines remain aligned with human values.