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

When we humans talk to other humans, the sounds we make all have very specific meanings.

When I say apple, you immediately imagine something that has the characteristics of an apple.

Yossi Yovel, a neuroecologist at Tel Aviv University in Israel.

And the question is, do animals also have something like that? Yossi Yovel, a neuroecologist at Tel Aviv University in Israel.

And the question is, do animals also have something like that?

Yovel and his team chose to listen in on bats, which do a lot of vocalizing.

In fact, in caves with vast numbers of bats, it's total cacophony.

It sounds like a crowd in a football stadium before the match has begun or something like that.

To simplify the problem, the researchers eaves dropped on a much smaller colony, just 22 Egyptian fruit bats. Over several months, they recorded tens of thousands of calls, along with synced up video,

which allowed them to decipher the speaker, the intended recipient, the situation, and the behavior

resulting from each call.

They then fed their huge database of calls to computers to test whether machine learning

could help make sense of them, using algorithms like the ones used

for human speech recognition. Turns out, the algorithms could correctly identify which bat

made each call. More often than chance would predict. And I can say, to some extent,

who is this bat shouting at? So who is the adrocy of this vocalization? They could even figure out what a bat

...