Looking to AI to understand how we learn

Illustration of a robot arm holding a brain.
Illustration: Aïda Amer/Axios

Two parallel quests to understand learning — in machines and in our own heads — are converging in a small group of scientists who think that artificial intelligence may hold an answer to the deep-rooted mystery of how our brains learn.

Why it matters: If machines and animals do learn in similar ways — still an open question among researchers — figuring out how could simultaneously help neuroscientists unravel the mechanics of knowledge or addiction, and help computer scientists build much more capable AI.

The tricky business of improving human brains

Illustration of a giant wrench around a human brain
Illustration: Sarah Grillo/Axios

Connecting brains directly to machines has helped paralyzed people begin to speak and amputees feed themselves again — early steps toward the miraculous cures that have been the main focus of the neurotechnology field.

But a smaller group of researchers and startups — plus the Pentagon — is working toward an even longer-term goal fraught with scientific and moral hurdles. They plan to improve on healthy humans, in a bid to pick up where evolution left off.