Understanding the human body is a team effort. That's where the Yachtel group comes in.

Researchers at Yachtolt have been delving into the secrets of probiotics for 90 years.

Yacold also partners with nature portfolio to advance gut microbiome science through the global grants for gut health, an investigator-led research program.

To learn more about Yachtolt, visit yawcult.co.

J-P. That's Y-A-K-U-L-T dot-C-O-J-P. When it comes to a guide for your gut, count on Yacolt.

This is Scientific American's 60-second science. I'm Christopher in Taguata.

Artificial intelligence systems have bested humans at chess, poker, jeopardy, go, and

countless other games.

But machines still aren't that great at understanding some basic rules about the physical

world.

They still can't do what three-month-olds do. And I think this is,

you know, I'm a champion of babies at the end of the day. And this is a clear win for babies.

Babies are still slam dunking, even our most powerful computers when it comes to intuitive physics.

Cognitive psychologist Susan Hespos of Northwestern University listed off a few examples of those intuitive physics principles, like solidity.

Your coffee cup does not just fall right through the table, or continuity. Objects don't just blink in and out of existence.

And boundedness, when you pick up your coffee cup, it sticks together. You don't end up with just the handle.

Babies know all three of these things as early as three months of age. Their visual acuity is lousy. The world is blurry. They could barely grasp this stuff.

You know, babies get a lot of things wrong, but it's just these initial kernels that get elaborated and refined through

experience in the world. Now computer engineers have taken a page from the baby playbook.

Researchers at Deep Mind, that's the AI company that trained computers to beat humans at Go,

they've endowed a machine learning system with certain kernels of knowledge about intuitive physics

built in, akin to what an infant

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