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Foundations Built for a General Theory of Neural Networks
Neural networks can be as unpredictable as they are powerful. Now mathematicians are beginning to reveal how a neural network’s form will influence its function.
A New Approach to Understanding How Machines Think
Neural networks are famously incomprehensible, so Been Kim is developing a “translator for humans.”
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.