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The computer vision scientist Greg Johnson is building systems that can recognize organelles on sight and show the dynamics of living cells more clearly than microscopy can.
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.
Neural networks are famously incomprehensible, so Been Kim is developing a “translator for humans.”
A visual prank exposes an Achilles’ heel of computer vision systems: Unlike humans, they can’t do a double take.
In the hunt for new fundamental particles, physicists have always had to make assumptions about how the particles will behave. New machine learning algorithms don’t.